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if ($a.is_logged_in() && $viewedUser.is_current_user()) { $('body').addClass('profile-viewed-by-owner'); } $socialProfiles = [{"id":11064354,"link":"https://twitter.com/neuromeditate","name":"Twitter","link_domain":"twitter.com","icon":"//www.google.com/s2/u/0/favicons?domain=twitter.com"},{"id":52692013,"link":"http://www.tomasros.com","name":"Homepage","link_domain":"www.tomasros.com","icon":"//www.google.com/s2/u/0/favicons?domain=www.tomasros.com"},{"id":52692020,"link":"https://scholar.google.com/citations?user=DWhrSQoAAAAJ\u0026hl=en","name":"Google Scholar","link_domain":"scholar.google.com","icon":"//www.google.com/s2/u/0/favicons?domain=scholar.google.com"}]</script><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://unige.academia.edu/TomasRos","location":"/TomasRos","scheme":"https","host":"unige.academia.edu","port":null,"pathname":"/TomasRos","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="ProfileCheckPaperUpdate" data-props="{}" data-trace="false" data-dom-id="ProfileCheckPaperUpdate-react-component-a0dd6191-7f86-4798-bdaa-7c38bc978d3c"></div> <div id="ProfileCheckPaperUpdate-react-component-a0dd6191-7f86-4798-bdaa-7c38bc978d3c"></div> <div class="DesignSystem"><div class="onsite-ping" id="onsite-ping"></div></div><div class="profile-user-info DesignSystem"><div class="social-profile-container"><div class="left-panel-container"><div class="user-info-component-wrapper"><div class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Tomas Ros" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/2715801/874028/17979255/s200_tomas.ros.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Tomas Ros</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://unige.academia.edu/">Université de Genève</a>, <a class="u-tcGrayDarker" href="https://unige.academia.edu/Departments/NEUFO/Documents">NEUFO</a>, <span class="u-tcGrayDarker">Department Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Tomas" data-follow-user-id="2715801" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" data-click-track="profile-user-info-unfollow-button" data-unfollow-user-id="2715801"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">done</span>Following</button></div></div><div class="user-stats-container"><a><div class="stat-container js-profile-followers"><p class="label">Followers</p><p class="data">324</p></div></a><a><div class="stat-container js-profile-followees" data-broccoli-component="user-info.followees-count" data-click-track="profile-expand-user-info-following"><p class="label">Following</p><p class="data">50</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">15</p></div></a><a href="https://unige.academia.edu/TomasRos/Analytics"><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></a></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">During my PhD  at University of London, I used transcranial magnetic stimulation to probe for the plastic effects of neurofeedback, showing for the first time cortical excitability changes directly after a training session (Ros et al 2010, Eur J Neuro). For my postdoc I worked with Ruth Lanius at University of Western Ontario,  uncovering a neurofeedback protocol that positively correlated with reductions in mind-wandering, together with enhanced functional connectivity in a key cognitive control network (Ros et al 2013, Neuroimage). This led to the first translational study investigating its impact on patients with PTSD, revealing a positive effect on well-being and a plastic modulation of salience/default-mode networks (Kluetsch et al 2014, Acta Psych Scandinavica). I am presently based at the University of Geneva, where  I am investigating the impact of neurofeedback on neurological and psychiatric disorders (Ros et al 2014, Front Human Neuro), within the framework of critical brain dynamics (Ros et al 2016, Cereb Cortex).<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="2715801">View All (19)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="2715801" href="https://www.academia.edu/Documents/in/Neurofeedback"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://unige.academia.edu/TomasRos","location":"/TomasRos","scheme":"https","host":"unige.academia.edu","port":null,"pathname":"/TomasRos","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Neurofeedback"]}" data-trace="false" data-dom-id="Pill-react-component-44e6d320-5d3e-4cde-bbc9-0cdce8749d60"></div> <div id="Pill-react-component-44e6d320-5d3e-4cde-bbc9-0cdce8749d60"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="2715801" href="https://www.academia.edu/Documents/in/EEG"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["EEG"]}" data-trace="false" data-dom-id="Pill-react-component-9dc7f6dc-6ec4-4574-b3c7-e135c5bf7e5a"></div> <div id="Pill-react-component-9dc7f6dc-6ec4-4574-b3c7-e135c5bf7e5a"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="2715801" href="https://www.academia.edu/Documents/in/EEG_Biofeedback"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["EEG Biofeedback"]}" data-trace="false" data-dom-id="Pill-react-component-a1489c27-e67f-49df-9753-07f70f0c10b7"></div> <div id="Pill-react-component-a1489c27-e67f-49df-9753-07f70f0c10b7"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="2715801" href="https://www.academia.edu/Documents/in/Neuroplasticity"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Neuroplasticity"]}" data-trace="false" data-dom-id="Pill-react-component-9f63583e-1090-4133-a8ff-0ea3bd956ec3"></div> <div id="Pill-react-component-9f63583e-1090-4133-a8ff-0ea3bd956ec3"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="2715801" href="https://www.academia.edu/Documents/in/Brain-computer_interfaces"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Brain-computer interfaces"]}" data-trace="false" data-dom-id="Pill-react-component-d063cdbd-2a61-41c8-8d5e-709b81bb575b"></div> <div id="Pill-react-component-d063cdbd-2a61-41c8-8d5e-709b81bb575b"></div> </a></div></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="left-most js-UserInfo-social-cv" data-broccoli-component="user-info.cv-button" data-click-track="profile-user-info-cv" data-cv-filename="CV.pdf" data-placement="top" data-toggle="tooltip" href="/TomasRos/CurriculumVitae"><button class="ds2-5-text-link ds2-5-text-link--small" style="font-size: 20px; letter-spacing: 0.8px"><span class="ds2-5-text-link__content">CV</span></button></li><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>44</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Thesis" data-toggle="tab" href="#thesis" role="tab" title="Thesis "><span>1</span> <span class="ds2-5-body-sm-bold">Thesis </span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Conference-Presentations" data-toggle="tab" href="#conferencepresentations" role="tab" title="Conference Presentations"><span>3</span> <span class="ds2-5-body-sm-bold">Conference Presentations</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Talks" data-toggle="tab" href="#talks" role="tab" title="Talks"><span>2</span> <span class="ds2-5-body-sm-bold">Talks</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Tomas Ros</h3></div><div class="js-work-strip profile--work_container" data-work-id="118562846"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118562846/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback"><img alt="Research paper thumbnail of Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/114158309/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118562846/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback">Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback</a></div><div class="wp-workCard_item"><span>Brain Communications</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Collective research has identified a key electroencephalogram signature in patients with post-tra...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8–12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre- and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first obse...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="93960c53628ec7acc991e14efb0da23c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":114158309,"asset_id":118562846,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/114158309/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118562846"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118562846"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118562846; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118562846]").text(description); $(".js-view-count[data-work-id=118562846]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118562846; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118562846']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118562846, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "93960c53628ec7acc991e14efb0da23c" } } $('.js-work-strip[data-work-id=118562846]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118562846,"title":"Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback","translated_title":"","metadata":{"abstract":"Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8–12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre- and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first obse...","publisher":"Oxford University Press (OUP)","publication_name":"Brain Communications"},"translated_abstract":"Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8–12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre- and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first obse...","internal_url":"https://www.academia.edu/118562846/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback","translated_internal_url":"","created_at":"2024-05-04T23:36:55.161-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":114158309,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/114158309/thumbnails/1.jpg","file_name":"fcad068.pdf","download_url":"https://www.academia.edu/attachments/114158309/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Homeostatic_normalization_of_alpha_brain.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/114158309/fcad068-libre.pdf?1714892182=\u0026response-content-disposition=attachment%3B+filename%3DHomeostatic_normalization_of_alpha_brain.pdf\u0026Expires=1732398719\u0026Signature=MWFm8OINYPRTCF7nPBXAJ5y7I54s-n4JGzhbv72Kd0DfaZN8PQyxUi33y6K6G7TWgJQ-pz-Wt~2XcAMKt6QUyThjkp4eA6z-hewvu8rDJ57w8AWoh7OFBvl-XJLzMply-C7ceHzLdMGVu3LnQn75BdfU2zLNfyCIYta4gpGHW5VXOfzBmQynw~~gLjRPe-dq1sdJ~87ZUh8zWHz-Ge7UygKK3kP7GR6eFTWe-NHnGU4IoBkX9YRee2Fbu91nIkZOAJDGyrnXambOVlWXJQ5BJpUDnu3G8QpMG9NtB1pvv4ZdyaPCPxUvUIUo36nBNoJ0tT9sEfOVVbBr2Erp4zTraQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":114158309,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/114158309/thumbnails/1.jpg","file_name":"fcad068.pdf","download_url":"https://www.academia.edu/attachments/114158309/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Homeostatic_normalization_of_alpha_brain.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/114158309/fcad068-libre.pdf?1714892182=\u0026response-content-disposition=attachment%3B+filename%3DHomeostatic_normalization_of_alpha_brain.pdf\u0026Expires=1732398719\u0026Signature=MWFm8OINYPRTCF7nPBXAJ5y7I54s-n4JGzhbv72Kd0DfaZN8PQyxUi33y6K6G7TWgJQ-pz-Wt~2XcAMKt6QUyThjkp4eA6z-hewvu8rDJ57w8AWoh7OFBvl-XJLzMply-C7ceHzLdMGVu3LnQn75BdfU2zLNfyCIYta4gpGHW5VXOfzBmQynw~~gLjRPe-dq1sdJ~87ZUh8zWHz-Ge7UygKK3kP7GR6eFTWe-NHnGU4IoBkX9YRee2Fbu91nIkZOAJDGyrnXambOVlWXJQ5BJpUDnu3G8QpMG9NtB1pvv4ZdyaPCPxUvUIUo36nBNoJ0tT9sEfOVVbBr2Erp4zTraQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":3164,"name":"Traumatic Stress","url":"https://www.academia.edu/Documents/in/Traumatic_Stress"},{"id":3718,"name":"Posttraumatic Stress Disorder (PTSD)","url":"https://www.academia.edu/Documents/in/Posttraumatic_Stress_Disorder_PTSD_"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":83083,"name":"EEG Biofeedback","url":"https://www.academia.edu/Documents/in/EEG_Biofeedback"},{"id":88462,"name":"Default Mode Network","url":"https://www.academia.edu/Documents/in/Default_Mode_Network"},{"id":255196,"name":"QEEG/ neurofeedback","url":"https://www.academia.edu/Documents/in/QEEG_neurofeedback"}],"urls":[{"id":41656574,"url":"https://academic.oup.com/braincomms/advance-article-pdf/doi/10.1093/braincomms/fcad068/49604119/fcad068.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="101107920"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/101107920/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback"><img alt="Research paper thumbnail of Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/101738975/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/101107920/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback">Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://unige.academia.edu/TomasRos">Tomas Ros</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ThebergeJ">J. Theberge</a></span></div><div class="wp-workCard_item"><span>Brain Communications</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Collective research has identified a key electroencephalogram signature in patients with post-tra...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8-12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre-and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first observed significantly reduced relative alpha source power at baseline in patients with post-traumatic stress disorder as compared to an age/sex-matched group of neurotypical healthy controls (n = 32), primarily within regions of the anterior default mode network. Post-treatment, we found that only post-traumatic stress disorder patients in the experimental neurofeedback group demonstrated significant alpha resynchronization within areas that displayed abnormally low alpha power at baseline. In parallel, we observed significantly decreased post-traumatic stress disorder severity scores in the experimental neurofeedback group only, when comparing baseline to post-treatment (Cohen's d = 0.77) and three-month follow-up scores (Cohen's d = 0.75), with a remission rate of 60.0% at the three-month follow-up. Overall, our results indicate that neurofeedback training can rescue pathologically reduced alpha rhythmicity, a functional biomarker that has repeatedly been linked to symptoms of hyperarousal and cortical disinhibition in post-traumatic stress disorder. This randomized controlled trial provides long-term evidence suggesting that the 'alpha rebound effect' (i.e. homeostatic alpha resynchronization) occurs within key regions of the default mode network previously implicated in post-traumatic stress disorder.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="db06aeea9314963f7758b86ac0fd08ac" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101738975,"asset_id":101107920,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101738975/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="101107920"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="101107920"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 101107920; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=101107920]").text(description); $(".js-view-count[data-work-id=101107920]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 101107920; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='101107920']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 101107920, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "db06aeea9314963f7758b86ac0fd08ac" } } $('.js-work-strip[data-work-id=101107920]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":101107920,"title":"Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback","translated_title":"","metadata":{"doi":"10.1093/braincomms/fcad068","abstract":"Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8-12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre-and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first observed significantly reduced relative alpha source power at baseline in patients with post-traumatic stress disorder as compared to an age/sex-matched group of neurotypical healthy controls (n = 32), primarily within regions of the anterior default mode network. Post-treatment, we found that only post-traumatic stress disorder patients in the experimental neurofeedback group demonstrated significant alpha resynchronization within areas that displayed abnormally low alpha power at baseline. In parallel, we observed significantly decreased post-traumatic stress disorder severity scores in the experimental neurofeedback group only, when comparing baseline to post-treatment (Cohen's d = 0.77) and three-month follow-up scores (Cohen's d = 0.75), with a remission rate of 60.0% at the three-month follow-up. Overall, our results indicate that neurofeedback training can rescue pathologically reduced alpha rhythmicity, a functional biomarker that has repeatedly been linked to symptoms of hyperarousal and cortical disinhibition in post-traumatic stress disorder. This randomized controlled trial provides long-term evidence suggesting that the 'alpha rebound effect' (i.e. homeostatic alpha resynchronization) occurs within key regions of the default mode network previously implicated in post-traumatic stress disorder.","publication_date":{"day":null,"month":null,"year":2023,"errors":{}},"publication_name":"Brain Communications"},"translated_abstract":"Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8-12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre-and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first observed significantly reduced relative alpha source power at baseline in patients with post-traumatic stress disorder as compared to an age/sex-matched group of neurotypical healthy controls (n = 32), primarily within regions of the anterior default mode network. Post-treatment, we found that only post-traumatic stress disorder patients in the experimental neurofeedback group demonstrated significant alpha resynchronization within areas that displayed abnormally low alpha power at baseline. In parallel, we observed significantly decreased post-traumatic stress disorder severity scores in the experimental neurofeedback group only, when comparing baseline to post-treatment (Cohen's d = 0.77) and three-month follow-up scores (Cohen's d = 0.75), with a remission rate of 60.0% at the three-month follow-up. Overall, our results indicate that neurofeedback training can rescue pathologically reduced alpha rhythmicity, a functional biomarker that has repeatedly been linked to symptoms of hyperarousal and cortical disinhibition in post-traumatic stress disorder. This randomized controlled trial provides long-term evidence suggesting that the 'alpha rebound effect' (i.e. homeostatic alpha resynchronization) occurs within key regions of the default mode network previously implicated in post-traumatic stress disorder.","internal_url":"https://www.academia.edu/101107920/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback","translated_internal_url":"","created_at":"2023-05-02T05:04:47.708-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":39818292,"work_id":101107920,"tagging_user_id":2715801,"tagged_user_id":null,"co_author_invite_id":7295197,"email":"d***n@gmail.com","display_order":1,"name":"Andrew Nicholson","title":"Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback"},{"id":39818293,"work_id":101107920,"tagging_user_id":2715801,"tagged_user_id":53435842,"co_author_invite_id":null,"email":"r***s@lhsc.on.ca","display_order":2,"name":"Ruth Lanius","title":"Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback"},{"id":39818294,"work_id":101107920,"tagging_user_id":2715801,"tagged_user_id":32186563,"co_author_invite_id":null,"email":"p***n@uwo.ca","display_order":3,"name":"Paul Frewen","title":"Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback"},{"id":39818295,"work_id":101107920,"tagging_user_id":2715801,"tagged_user_id":268166616,"co_author_invite_id":2762166,"email":"j***e@lawsonimaging.ca","display_order":4,"name":"J. 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We hypothesized that MS decomposition within separate, narrow frequency bands could provide more fine-grained information for capturing the spatio-temporal complexity of multichannel EEG. In this study using a large open-access dataset (n=203), we decomposed EEG recordings into 4 classical frequency bands (delta, theta, alpha, beta) in order to compare their individual MS segmentations using mutual information as well as traditional MS measures (e.g. mean duration, time coverage). Firstly, we confirmed that MS topographies were spatially equivalent across all frequencies, matching the canonical broadband maps (A, B, C, D). Interestingly however, we observed strong informational independence of MS temporal sequences between spectral bands, together with significant divergence in traditional MS measures. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113927"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113927/Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback"><img alt="Research paper thumbnail of Cognitive enhancement by self-regulation of endogenous oscillations with neurofeedback" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113927/Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback">Cognitive enhancement by self-regulation of endogenous oscillations with neurofeedback</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the last years, innovations in technology and methodology, as well as increased knowledge abou...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the last years, innovations in technology and methodology, as well as increased knowledge about cortical oscillations have significantly impacted the advancement of new neurofeedback approaches. As such, sham-controlled studies, showing evidence for enhanced performance of cognition after self-regulation of brain activity, have been published. Effects have been demonstrated regarding working memory (Hsueh et al. 2016), executive functions (Enriquez-Geppert et al. 2014), binding processes (Keizer et al. 2010 a,b), and memory (Guez et al. 2014), as well as real-life performance (Ros et al. 2009). In this chapter, we first present the rationale behind neurofeedback based on electroencephalography (EEG) and then list examples of recent studies demonstrating effects on cognition and everyday life performance. Subsequentially, the conceptualization of the self-regulation of brain activity, as well as neuroplastic effects evoked by neurofeedback follow. As a next step, issues regarding ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113927"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113927"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113927; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113927]").text(description); $(".js-view-count[data-work-id=95113927]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113927; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113927']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113927, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=95113927]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113927,"title":"Cognitive enhancement by self-regulation of endogenous oscillations with neurofeedback","translated_title":"","metadata":{"abstract":"In the last years, innovations in technology and methodology, as well as increased knowledge about cortical oscillations have significantly impacted the advancement of new neurofeedback approaches. As such, sham-controlled studies, showing evidence for enhanced performance of cognition after self-regulation of brain activity, have been published. Effects have been demonstrated regarding working memory (Hsueh et al. 2016), executive functions (Enriquez-Geppert et al. 2014), binding processes (Keizer et al. 2010 a,b), and memory (Guez et al. 2014), as well as real-life performance (Ros et al. 2009). In this chapter, we first present the rationale behind neurofeedback based on electroencephalography (EEG) and then list examples of recent studies demonstrating effects on cognition and everyday life performance. Subsequentially, the conceptualization of the self-regulation of brain activity, as well as neuroplastic effects evoked by neurofeedback follow. As a next step, issues regarding ...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}}},"translated_abstract":"In the last years, innovations in technology and methodology, as well as increased knowledge about cortical oscillations have significantly impacted the advancement of new neurofeedback approaches. As such, sham-controlled studies, showing evidence for enhanced performance of cognition after self-regulation of brain activity, have been published. Effects have been demonstrated regarding working memory (Hsueh et al. 2016), executive functions (Enriquez-Geppert et al. 2014), binding processes (Keizer et al. 2010 a,b), and memory (Guez et al. 2014), as well as real-life performance (Ros et al. 2009). In this chapter, we first present the rationale behind neurofeedback based on electroencephalography (EEG) and then list examples of recent studies demonstrating effects on cognition and everyday life performance. Subsequentially, the conceptualization of the self-regulation of brain activity, as well as neuroplastic effects evoked by neurofeedback follow. As a next step, issues regarding ...","internal_url":"https://www.academia.edu/95113927/Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback","translated_internal_url":"","created_at":"2023-01-16T12:09:16.383-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113925"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113925/EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy"><img alt="Research paper thumbnail of EEG Neurofeedback for Anxiety Disorders and Post-Traumatic Stress Disorders: A Blueprint for a Promising Brain-Based Therapy" class="work-thumbnail" src="https://attachments.academia-assets.com/97384876/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113925/EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy">EEG Neurofeedback for Anxiety Disorders and Post-Traumatic Stress Disorders: A Blueprint for a Promising Brain-Based Therapy</a></div><div class="wp-workCard_item"><span>Current Psychiatry Reports</span><span>, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="18b06d80c37ed288b0c441c4a0c27e18" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384876,"asset_id":95113925,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384876/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113925"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113925"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113925; 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Recent Findings The manifestations of anxiety disorders and post-traumatic stress disorders (PTSD) are associated with dysfunctions of neurophysiological stress axes and brain arousal circuits, which are important dimensions of the research domain criteria (RDoC). Even if the pathophysiology of these disorders is complex, one of its defining signatures is behavioral and physiological over-arousal. Interestingly, arousal-related brain activity can be modulated by electroencephalogram-based neurofeedback (EEG NF), a non-pharmacological and non-invasive method that involves neurocognitive training through a brain-computer interface (BCI). EEG NF is characterized by a simultaneous learning process where both patient and computer are involved in modifying neuronal activity or connectivity, thereby improving associated symptoms of anxiety and/or over-arousal. Summary Positive effects of EEG NF have been described for both anxiety disorders and PTSD, yet due to a number of methodological issues, it remains unclear whether symptom improvement is the direct result of neurophysiological changes targeted by EEG NF. Thus, in this work we sought to bridge current knowledge on brain mechanisms of arousal with past and present EEG NF therapies for anxiety and PTSD. In a nutshell, we discuss the neurophysiological mechanisms underlying the effects of EEG NF in anxiety disorder and PTSD, the methodological strengths/weaknesses of existing EEG NF randomized controlled trials for these disorders, and the neuropsychological factors that may impact NF training success.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Current Psychiatry Reports","grobid_abstract_attachment_id":97384876},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113925/EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy","translated_internal_url":"","created_at":"2023-01-16T12:09:16.253-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384876,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384876/thumbnails/1.jpg","file_name":"EEGNeurofeedbackForAnxietyDiso.pdf","download_url":"https://www.academia.edu/attachments/97384876/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"EEG_Neurofeedback_for_Anxiety_Disorders.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384876/EEGNeurofeedbackForAnxietyDiso-libre.pdf?1673900645=\u0026response-content-disposition=attachment%3B+filename%3DEEG_Neurofeedback_for_Anxiety_Disorders.pdf\u0026Expires=1732398719\u0026Signature=S5QjYDpOrVg1CC9K4YcyZJYXkEiV~iU-hp2h1IknGamzw6ag7cxzzfEJQvXRJAR~1oPtowTebDgURV7yWYJczlsl4UIW3qFicyxaV7Jt3refd8ccLdsCvzkTgA5bglGcrF3zl6CClL6Xjfd61PaQhj4NH7-nfSxjccD215ucgz4Wp6DRfwlxHoz-4sGtTMrRnObE9lZavs80Q44o-elHwmBo5LXuLbo1de5cG~Q~Z4BfAu40X-DZWspgF3ph~GmL-WIr4eB7Smc1x-2u3oTijWTnyXue~WFSSOaQxHG86HkZDF0KpYuamvevfU4VR4rdzgeKyko1Hhap1xr6iuXGJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384876,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384876/thumbnails/1.jpg","file_name":"EEGNeurofeedbackForAnxietyDiso.pdf","download_url":"https://www.academia.edu/attachments/97384876/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"EEG_Neurofeedback_for_Anxiety_Disorders.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384876/EEGNeurofeedbackForAnxietyDiso-libre.pdf?1673900645=\u0026response-content-disposition=attachment%3B+filename%3DEEG_Neurofeedback_for_Anxiety_Disorders.pdf\u0026Expires=1732398719\u0026Signature=S5QjYDpOrVg1CC9K4YcyZJYXkEiV~iU-hp2h1IknGamzw6ag7cxzzfEJQvXRJAR~1oPtowTebDgURV7yWYJczlsl4UIW3qFicyxaV7Jt3refd8ccLdsCvzkTgA5bglGcrF3zl6CClL6Xjfd61PaQhj4NH7-nfSxjccD215ucgz4Wp6DRfwlxHoz-4sGtTMrRnObE9lZavs80Q44o-elHwmBo5LXuLbo1de5cG~Q~Z4BfAu40X-DZWspgF3ph~GmL-WIr4eB7Smc1x-2u3oTijWTnyXue~WFSSOaQxHG86HkZDF0KpYuamvevfU4VR4rdzgeKyko1Hhap1xr6iuXGJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":38676,"name":"Anxiety","url":"https://www.academia.edu/Documents/in/Anxiety"},{"id":42695,"name":"Post traumatic stress disorder","url":"https://www.academia.edu/Documents/in/Post_traumatic_stress_disorder"},{"id":43774,"name":"Learning","url":"https://www.academia.edu/Documents/in/Learning"},{"id":51861,"name":"Neurocognitive","url":"https://www.academia.edu/Documents/in/Neurocognitive"},{"id":306766,"name":"Arousal","url":"https://www.academia.edu/Documents/in/Arousal"},{"id":623821,"name":"ANXIETY","url":"https://www.academia.edu/Documents/in/ANXIETY-1"},{"id":836997,"name":"Anxiety Disorder","url":"https://www.academia.edu/Documents/in/Anxiety_Disorder"}],"urls":[{"id":28116178,"url":"https://link.springer.com/content/pdf/10.1007/s11920-021-01299-9.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113923"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113923/Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder"><img alt="Research paper thumbnail of Electrophysiological correlates of improved executive function following EEG neurofeedback in adult attention deficit hyperactivity disorder" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113923/Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder">Electrophysiological correlates of improved executive function following EEG neurofeedback in adult attention deficit hyperactivity disorder</a></div><div class="wp-workCard_item"><span>Clinical Neurophysiology</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive pro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive processing deficits in attention deficit hyperactivity disorder (ADHD). However, this evidence is mostly limited to cross-sectional data. The current study utilized neurofeedback (NFB) as a neuromodulatory tool to examine the ERP correlates of attentional and inhibitory processes in adult ADHD using a single-session, within-subject design. METHODS We recorded high-density EEG in 25 adult ADHD patients and 22 neurotypical controls during a Go/NoGo task, before and after a 30-minute NFB session designed to down-regulate the alpha (8-12 Hz) rhythm. RESULTS At baseline, ADHD patients demonstrated impaired Go/NoGo performance compared to controls, while Go-P3 amplitude inversely correlated with ADHD-associated symptomatology in childhood. Post NFB, task performance improved in both groups, significantly enhancing stimulus detectability (d-prime) and reducing reaction time variability, while increasing N1 and P3 ERP component amplitudes. Specifically for ADHD patients, the pre-to-post enhancement in Go-P3 amplitude correlated with measures of improved executive function, i.e., enhanced d-prime, reduced omission errors and reduced reaction time variability. CONCLUSIONS A single-session of alpha down-regulation NFB was able to reverse the abnormal neurocognitive signatures of adult ADHD during a Go/NoGo task. SIGNIFICANCE The study demonstrates for the first time the beneficial neurobehavioral effect of a single NFB session in adult ADHD, and reinforces the notion that ERPs could serve as useful diagnostic/prognostic markers of executive dysfunction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113923"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113923"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113923; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113923]").text(description); $(".js-view-count[data-work-id=95113923]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113923; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113923']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113923, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=95113923]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113923,"title":"Electrophysiological correlates of improved executive function following EEG neurofeedback in adult attention deficit hyperactivity disorder","translated_title":"","metadata":{"abstract":"OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive processing deficits in attention deficit hyperactivity disorder (ADHD). However, this evidence is mostly limited to cross-sectional data. The current study utilized neurofeedback (NFB) as a neuromodulatory tool to examine the ERP correlates of attentional and inhibitory processes in adult ADHD using a single-session, within-subject design. METHODS We recorded high-density EEG in 25 adult ADHD patients and 22 neurotypical controls during a Go/NoGo task, before and after a 30-minute NFB session designed to down-regulate the alpha (8-12 Hz) rhythm. RESULTS At baseline, ADHD patients demonstrated impaired Go/NoGo performance compared to controls, while Go-P3 amplitude inversely correlated with ADHD-associated symptomatology in childhood. Post NFB, task performance improved in both groups, significantly enhancing stimulus detectability (d-prime) and reducing reaction time variability, while increasing N1 and P3 ERP component amplitudes. Specifically for ADHD patients, the pre-to-post enhancement in Go-P3 amplitude correlated with measures of improved executive function, i.e., enhanced d-prime, reduced omission errors and reduced reaction time variability. CONCLUSIONS A single-session of alpha down-regulation NFB was able to reverse the abnormal neurocognitive signatures of adult ADHD during a Go/NoGo task. SIGNIFICANCE The study demonstrates for the first time the beneficial neurobehavioral effect of a single NFB session in adult ADHD, and reinforces the notion that ERPs could serve as useful diagnostic/prognostic markers of executive dysfunction.","publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Clinical Neurophysiology"},"translated_abstract":"OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive processing deficits in attention deficit hyperactivity disorder (ADHD). However, this evidence is mostly limited to cross-sectional data. The current study utilized neurofeedback (NFB) as a neuromodulatory tool to examine the ERP correlates of attentional and inhibitory processes in adult ADHD using a single-session, within-subject design. METHODS We recorded high-density EEG in 25 adult ADHD patients and 22 neurotypical controls during a Go/NoGo task, before and after a 30-minute NFB session designed to down-regulate the alpha (8-12 Hz) rhythm. RESULTS At baseline, ADHD patients demonstrated impaired Go/NoGo performance compared to controls, while Go-P3 amplitude inversely correlated with ADHD-associated symptomatology in childhood. Post NFB, task performance improved in both groups, significantly enhancing stimulus detectability (d-prime) and reducing reaction time variability, while increasing N1 and P3 ERP component amplitudes. Specifically for ADHD patients, the pre-to-post enhancement in Go-P3 amplitude correlated with measures of improved executive function, i.e., enhanced d-prime, reduced omission errors and reduced reaction time variability. CONCLUSIONS A single-session of alpha down-regulation NFB was able to reverse the abnormal neurocognitive signatures of adult ADHD during a Go/NoGo task. SIGNIFICANCE The study demonstrates for the first time the beneficial neurobehavioral effect of a single NFB session in adult ADHD, and reinforces the notion that ERPs could serve as useful diagnostic/prognostic markers of executive dysfunction.","internal_url":"https://www.academia.edu/95113923/Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder","translated_internal_url":"","created_at":"2023-01-16T12:09:16.097-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":4139,"name":"Audiology","url":"https://www.academia.edu/Documents/in/Audiology"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":32362,"name":"Executive Control","url":"https://www.academia.edu/Documents/in/Executive_Control"},{"id":51861,"name":"Neurocognitive","url":"https://www.academia.edu/Documents/in/Neurocognitive"},{"id":76071,"name":"EEG Signal Processing","url":"https://www.academia.edu/Documents/in/EEG_Signal_Processing"},{"id":83083,"name":"EEG Biofeedback","url":"https://www.academia.edu/Documents/in/EEG_Biofeedback"},{"id":122378,"name":"adult ADHD","url":"https://www.academia.edu/Documents/in/adult_ADHD"},{"id":133722,"name":"Executive Functions","url":"https://www.academia.edu/Documents/in/Executive_Functions"},{"id":150884,"name":"Event Related Potentials","url":"https://www.academia.edu/Documents/in/Event_Related_Potentials"},{"id":263020,"name":"Clinical Neurophysiology","url":"https://www.academia.edu/Documents/in/Clinical_Neurophysiology"},{"id":693316,"name":"EEG Signal Analysis","url":"https://www.academia.edu/Documents/in/EEG_Signal_Analysis"},{"id":2754641,"name":"Attention deficit hyperactivity disorder","url":"https://www.academia.edu/Documents/in/Attention_deficit_hyperactivity_disorder-1"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[{"id":28116177,"url":"https://api.elsevier.com/content/article/PII:S1388245721006039?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113921"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113921/A_randomized_controlled_trial_of_alpha_rhythm_EEG_neurofeedback_in_posttraumatic_stress_disorder_A_preliminary_investigation_showing_evidence_of_decreased_PTSD_symptoms_and_restored_default_mode_and_salience_network_connectivity_using_fMRI"><img alt="Research paper thumbnail of A randomized, controlled trial of alpha-rhythm EEG neurofeedback in posttraumatic stress disorder: A preliminary investigation showing evidence of decreased PTSD symptoms and restored default mode and salience network connectivity using fMRI" class="work-thumbnail" src="https://attachments.academia-assets.com/97384881/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113921/A_randomized_controlled_trial_of_alpha_rhythm_EEG_neurofeedback_in_posttraumatic_stress_disorder_A_preliminary_investigation_showing_evidence_of_decreased_PTSD_symptoms_and_restored_default_mode_and_salience_network_connectivity_using_fMRI">A randomized, controlled trial of alpha-rhythm EEG neurofeedback in posttraumatic stress disorder: A preliminary investigation showing evidence of decreased PTSD symptoms and restored default mode and salience network connectivity using fMRI</a></div><div class="wp-workCard_item"><span>NeuroImage: Clinical</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="89550836d31b8132fe7e041b3efdfa0c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384881,"asset_id":95113921,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384881/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113921"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span 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dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113920"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113920/PET_Imaging_of_Dopamine_Neurotransmission_During_EEG_Neurofeedback"><img alt="Research paper thumbnail of PET Imaging of Dopamine Neurotransmission During EEG Neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/97384871/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113920/PET_Imaging_of_Dopamine_Neurotransmission_During_EEG_Neurofeedback">PET Imaging of Dopamine Neurotransmission During EEG Neurofeedback</a></div><div class="wp-workCard_item"><span>Frontiers in Physiology</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Neurofeedback (NFB) is a brain-based training method that enables users to control their own cort...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Neurofeedback (NFB) is a brain-based training method that enables users to control their own cortical oscillations using real-time feedback from the electroencephalogram (EEG). Importantly, no investigations to date have directly explored the potential impact of NFB on the brain’s key neuromodulatory systems. Our study’s objective was to assess the capacity of NFB to induce dopamine release as revealed by positron emission tomography (PET). Thirty-two healthy volunteers were randomized to either EEG-neurofeedback (NFB) or EEG-electromyography (EMG), and scanned while performing self-regulation during a single session of dynamic PET brain imaging using the high affinity D2/3 receptor radiotracer, [18F]Fallypride. NFB and EMG groups down-regulated cortical alpha power and facial muscle tone, respectively. Task-induced effects on endogenous dopamine release were estimated in the frontal cortex, anterior cingulate cortex, and thalamus, using the linearized simplified reference region mo...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="161d4d80a3c81f5eccaac4919eed6da0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384871,"asset_id":95113920,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384871/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113920"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113920"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113920; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113920]").text(description); $(".js-view-count[data-work-id=95113920]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113920; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113920']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113920, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "161d4d80a3c81f5eccaac4919eed6da0" } } $('.js-work-strip[data-work-id=95113920]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113920,"title":"PET Imaging of Dopamine Neurotransmission During EEG Neurofeedback","translated_title":"","metadata":{"abstract":"Neurofeedback (NFB) is a brain-based training method that enables users to control their own cortical oscillations using real-time feedback from the electroencephalogram (EEG). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113919"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113919/Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback"><img alt="Research paper thumbnail of Linking alpha oscillations, attention and inhibitory control in adult ADHD with EEG neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/97384875/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113919/Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback">Linking alpha oscillations, attention and inhibitory control in adult ADHD with EEG neurofeedback</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD. In particular, the alpha rhythm (8-12 Hz), known to be modulated during attention, has previously been considered as candidate biomarker for ADHD. In the present study, we asked adult ADHD patients to self-regulate their own alpha rhythm using neurofeedback (NFB), in order to examine the modulation of alpha oscillations on attentional performance and brain plasticity. Twenty-five adult ADHD patients and 22 healthy controls underwent a 64-channel EEG-recording at resting-state and during a Go/NoGo task, before and after a 30 min-NFB session designed to reduce (desynchronize) the power of the alpha rhythm. Alpha power was compared across conditions and groups, and the effects of NFB were statistically assessed by comparing behavioral and EEG measures pre-to-post NFB. Firstly, we found that relative alpha power was attenuated in our ADHD cohort compared to control subjects at baseline and...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8192e8f5fda4f0d9ae2bb9b8c5ea3bad" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384875,"asset_id":95113919,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384875/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113919"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113919"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113919; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113919]").text(description); $(".js-view-count[data-work-id=95113919]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113919; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113919']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113919, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8192e8f5fda4f0d9ae2bb9b8c5ea3bad" } } $('.js-work-strip[data-work-id=95113919]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113919,"title":"Linking alpha oscillations, attention and inhibitory control in adult ADHD with EEG neurofeedback","translated_title":"","metadata":{"abstract":"Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD. In particular, the alpha rhythm (8-12 Hz), known to be modulated during attention, has previously been considered as candidate biomarker for ADHD. In the present study, we asked adult ADHD patients to self-regulate their own alpha rhythm using neurofeedback (NFB), in order to examine the modulation of alpha oscillations on attentional performance and brain plasticity. Twenty-five adult ADHD patients and 22 healthy controls underwent a 64-channel EEG-recording at resting-state and during a Go/NoGo task, before and after a 30 min-NFB session designed to reduce (desynchronize) the power of the alpha rhythm. Alpha power was compared across conditions and groups, and the effects of NFB were statistically assessed by comparing behavioral and EEG measures pre-to-post NFB. Firstly, we found that relative alpha power was attenuated in our ADHD cohort compared to control subjects at baseline and...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD. In particular, the alpha rhythm (8-12 Hz), known to be modulated during attention, has previously been considered as candidate biomarker for ADHD. In the present study, we asked adult ADHD patients to self-regulate their own alpha rhythm using neurofeedback (NFB), in order to examine the modulation of alpha oscillations on attentional performance and brain plasticity. Twenty-five adult ADHD patients and 22 healthy controls underwent a 64-channel EEG-recording at resting-state and during a Go/NoGo task, before and after a 30 min-NFB session designed to reduce (desynchronize) the power of the alpha rhythm. Alpha power was compared across conditions and groups, and the effects of NFB were statistically assessed by comparing behavioral and EEG measures pre-to-post NFB. Firstly, we found that relative alpha power was attenuated in our ADHD cohort compared to control subjects at baseline and...","internal_url":"https://www.academia.edu/95113919/Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback","translated_internal_url":"","created_at":"2023-01-16T12:09:15.686-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384875,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384875/thumbnails/1.jpg","file_name":"689398.full.pdf","download_url":"https://www.academia.edu/attachments/97384875/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Linking_alpha_oscillations_attention_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384875/689398.full-libre.pdf?1673900663=\u0026response-content-disposition=attachment%3B+filename%3DLinking_alpha_oscillations_attention_and.pdf\u0026Expires=1732398719\u0026Signature=eOVQKyeQHW8dx7w~bM0CqL-P7mp8wq6IPiVIPMUjX2ZfS7LiaUVEsl5vGpQixjXDpmFYN0WArC5LrGljo3hSvsunW-HFe0jyV4SY1vFB9MZ4BdyQ3UdiuHAhR902jkaDlk~u2fOFom0zaOwvXca7Kip0fiso9RvKT9lpMFpa6ZECNxvBhTl49Clb263dvKjH1-qNnY1zSZf6FlfYHA~2qUBy8ZOw6wXuUYvFkwtM6pysQ2cmo9nzllFYP22-vt7DSl-O4hZ90zz0sXmE2hC~5dVUNpuEajLF-l2roH5FdyGXQeqV7E9AZoiSGW6mbY6yt-xvd5eCKQYmIxNgtFuAzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback","translated_slug":"","page_count":29,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384875,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384875/thumbnails/1.jpg","file_name":"689398.full.pdf","download_url":"https://www.academia.edu/attachments/97384875/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Linking_alpha_oscillations_attention_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384875/689398.full-libre.pdf?1673900663=\u0026response-content-disposition=attachment%3B+filename%3DLinking_alpha_oscillations_attention_and.pdf\u0026Expires=1732398719\u0026Signature=eOVQKyeQHW8dx7w~bM0CqL-P7mp8wq6IPiVIPMUjX2ZfS7LiaUVEsl5vGpQixjXDpmFYN0WArC5LrGljo3hSvsunW-HFe0jyV4SY1vFB9MZ4BdyQ3UdiuHAhR902jkaDlk~u2fOFom0zaOwvXca7Kip0fiso9RvKT9lpMFpa6ZECNxvBhTl49Clb263dvKjH1-qNnY1zSZf6FlfYHA~2qUBy8ZOw6wXuUYvFkwtM6pysQ2cmo9nzllFYP22-vt7DSl-O4hZ90zz0sXmE2hC~5dVUNpuEajLF-l2roH5FdyGXQeqV7E9AZoiSGW6mbY6yt-xvd5eCKQYmIxNgtFuAzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":3886,"name":"Rhythm","url":"https://www.academia.edu/Documents/in/Rhythm"},{"id":4139,"name":"Audiology","url":"https://www.academia.edu/Documents/in/Audiology"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":76071,"name":"EEG Signal Processing","url":"https://www.academia.edu/Documents/in/EEG_Signal_Processing"},{"id":1275961,"name":"Alpha Rhythm","url":"https://www.academia.edu/Documents/in/Alpha_Rhythm"}],"urls":[{"id":28116174,"url":"https://syndication.highwire.org/content/doi/10.1101/689398"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113918"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113918/Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder"><img alt="Research paper thumbnail of Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?" class="work-thumbnail" src="https://attachments.academia-assets.com/97384877/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113918/Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder">Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?</a></div><div class="wp-workCard_item"><span>Clinical Neurophysiology</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="27d3ebd61ca86eea16407feae3a93883" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384877,"asset_id":95113918,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384877/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113918"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113918"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113918; 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The aim of this study was to analyze the distribution of TBR values in ADHD patients and validate the presence of a high-TBR cluster using objective metrics. Methods The TBR was extracted from eyes-open resting state EEG recordings of 363 ADHD patients, aged 5-21 years. The TBR distribution was estimated with three Bayesian Gaussian Mixture Models (BGMMs) with one, two, and three components, respectively. The pairwise comparison of BGMMs was carried out with deviance tests to identify the number of components that best represented the data. Results The two-component BGMM modeled the TBR values significantly better than the one-component BGMM (p-value = 0.005). No significant difference was observed between the two-component and three-component BGMM (p-value = 0.850). Conclusion These results suggest that there exist indeed two TBR clusters within the ADHD population. Significance This work offers a global framework to understanding values found in the literature and suggest guidelines on how to compute theta-beta ratio values. Moreover, using objective data-driven method we confirm the existence of a high theta-beta ratio cluster.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Clinical Neurophysiology","grobid_abstract_attachment_id":97384877},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113918/Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder","translated_internal_url":"","created_at":"2023-01-16T12:09:15.554-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384877,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384877/thumbnails/1.jpg","file_name":"TBR_Distribution_Analysis_in_ADHD_patients.pdf","download_url":"https://www.academia.edu/attachments/97384877/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Is_there_a_cluster_of_high_theta_beta_ra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384877/TBR_Distribution_Analysis_in_ADHD_patients-libre.pdf?1673900666=\u0026response-content-disposition=attachment%3B+filename%3DIs_there_a_cluster_of_high_theta_beta_ra.pdf\u0026Expires=1732398719\u0026Signature=DT0BSR855aE8EDWOLkUraYefg~vOhjrNg9dVW3rMlSV6h5nzms1w0Jt0fsdJ6WyhgtPHtjhcRvsufNxA6t-PbtxKfgNoswGQjlT8jdSc2VYLgSLGkQvj~Dk2Be96VgtDuoT2I1ZmLf6yWklJp-wxK~ULiIF1oZS3MTOhuE1lWaVp43DVBsF49ePFAxJQBb3WFK1pwZi5KN7RmPcKMJbpKe9Y-MeEOa4walbMvsHEWgZar8ymmW-usdlRIDRebOe-0GBMNGcp~tamRf88~fTsW1M8tEWaOdws9zspuVyz33Np-925~g4G9kg51UR7ol2lAPEZIXGucMj0PsswYPiEQw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder","translated_slug":"","page_count":39,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384877,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384877/thumbnails/1.jpg","file_name":"TBR_Distribution_Analysis_in_ADHD_patients.pdf","download_url":"https://www.academia.edu/attachments/97384877/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Is_there_a_cluster_of_high_theta_beta_ra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384877/TBR_Distribution_Analysis_in_ADHD_patients-libre.pdf?1673900666=\u0026response-content-disposition=attachment%3B+filename%3DIs_there_a_cluster_of_high_theta_beta_ra.pdf\u0026Expires=1732398719\u0026Signature=DT0BSR855aE8EDWOLkUraYefg~vOhjrNg9dVW3rMlSV6h5nzms1w0Jt0fsdJ6WyhgtPHtjhcRvsufNxA6t-PbtxKfgNoswGQjlT8jdSc2VYLgSLGkQvj~Dk2Be96VgtDuoT2I1ZmLf6yWklJp-wxK~ULiIF1oZS3MTOhuE1lWaVp43DVBsF49ePFAxJQBb3WFK1pwZi5KN7RmPcKMJbpKe9Y-MeEOa4walbMvsHEWgZar8ymmW-usdlRIDRebOe-0GBMNGcp~tamRf88~fTsW1M8tEWaOdws9zspuVyz33Np-925~g4G9kg51UR7ol2lAPEZIXGucMj0PsswYPiEQw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":4732,"name":"ADHD","url":"https://www.academia.edu/Documents/in/ADHD"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":37937,"name":"Clusters","url":"https://www.academia.edu/Documents/in/Clusters"},{"id":263020,"name":"Clinical Neurophysiology","url":"https://www.academia.edu/Documents/in/Clinical_Neurophysiology"},{"id":2630747,"name":"Beta Distribution","url":"https://www.academia.edu/Documents/in/Beta_Distribution"},{"id":2754641,"name":"Attention deficit hyperactivity disorder","url":"https://www.academia.edu/Documents/in/Attention_deficit_hyperactivity_disorder-1"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[{"id":28116173,"url":"https://api.elsevier.com/content/article/PII:S1388245719307485?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113917"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113917/Disruption_of_large_scale_electrophysiological_networks_in_stroke_patients_with_visuospatial_neglect"><img alt="Research paper thumbnail of Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect" class="work-thumbnail" src="https://attachments.academia-assets.com/97384870/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113917/Disruption_of_large_scale_electrophysiological_networks_in_stroke_patients_with_visuospatial_neglect">Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, wh...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, which is characterized by a breakdown of awareness for the contralesional hemispace. Recent studies with functional MRI (fMRI) suggest that hemineglect patients display abnormalintra-andinter-hemisphericfunctional connectivity. However, since stroke is a vascular disorder and fMRI signals remain sensitive to non-neuronal (i.e. vascular) coupling, more direct demonstrations of neural network dysfunction in hemispatial neglect are warranted. Here, we utilize electroencephalogram (EEG) source imaging to uncover differences in resting-state network organization between patients with right-hemispheric stroke (N = 15) and age-matched, healthy controls (N = 27), and determine the relationship between hemineglect symptoms and brain network organization. We estimatedintra-andinter-regional differences in cortical communication, by calculating the spectral power and amplitude envelope correlations (...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="283a44003e3c21c32fd5f7b262ff64f3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384870,"asset_id":95113917,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384870/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113917"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113917"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113917; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113917]").text(description); $(".js-view-count[data-work-id=95113917]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113917; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113917']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113917, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "283a44003e3c21c32fd5f7b262ff64f3" } } $('.js-work-strip[data-work-id=95113917]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113917,"title":"Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect","translated_title":"","metadata":{"abstract":"Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, which is characterized by a breakdown of awareness for the contralesional hemispace. Recent studies with functional MRI (fMRI) suggest that hemineglect patients display abnormalintra-andinter-hemisphericfunctional connectivity. However, since stroke is a vascular disorder and fMRI signals remain sensitive to non-neuronal (i.e. vascular) coupling, more direct demonstrations of neural network dysfunction in hemispatial neglect are warranted. Here, we utilize electroencephalogram (EEG) source imaging to uncover differences in resting-state network organization between patients with right-hemispheric stroke (N = 15) and age-matched, healthy controls (N = 27), and determine the relationship between hemineglect symptoms and brain network organization. We estimatedintra-andinter-regional differences in cortical communication, by calculating the spectral power and amplitude envelope correlations (...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, which is characterized by a breakdown of awareness for the contralesional hemispace. Recent studies with functional MRI (fMRI) suggest that hemineglect patients display abnormalintra-andinter-hemisphericfunctional connectivity. However, since stroke is a vascular disorder and fMRI signals remain sensitive to non-neuronal (i.e. vascular) coupling, more direct demonstrations of neural network dysfunction in hemispatial neglect are warranted. Here, we utilize electroencephalogram (EEG) source imaging to uncover differences in resting-state network organization between patients with right-hemispheric stroke (N = 15) and age-matched, healthy controls (N = 27), and determine the relationship between hemineglect symptoms and brain network organization. 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LRTCs constitute supporting evidence that the brain operates near criticality, a state where neuronal activities are balanced between order and randomness. Here, healthy adults used closed-loop brain training (neurofeedback, NFB) to reduce the amplitude of alpha oscillations, producing a significant increase in spontaneous LRTCs post-training. This effect was reproduced in patients with post-traumatic stress disorder, where abnormally random dynamics were reversed by NFB, correlating with significant improvements in hyperarousal. Notably, regions manifesting abnormally low LRTCs (i.e., excessive randomness) normalized toward healthy population levels, consistent with theoretical predictions about selforganized criticality. Hence, when exposed to appropriate training, spontaneous cortical activity reveals a residual capacity for \"self-tuning\" its own temporal complexity, despite manifesting the abnormal dynamics seen in individuals with psychiatric disorder. 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Brain-machine interfaces (BMIs). Brain-machine interfaces, sometimes called direct neural or braincomputer interfaces, are direct communication pathways between the brain and external devices.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Nature Reviews Neuroscience","grobid_abstract_attachment_id":97384872},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113912/Closed_loop_brain_training_the_science_of_neurofeedback","translated_internal_url":"","created_at":"2023-01-16T12:09:14.961-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384872,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384872/thumbnails/1.jpg","file_name":"Sitaram2016.pdf","download_url":"https://www.academia.edu/attachments/97384872/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Closed_loop_brain_training_the_science_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384872/Sitaram2016-libre.pdf?1673900658=\u0026response-content-disposition=attachment%3B+filename%3DClosed_loop_brain_training_the_science_o.pdf\u0026Expires=1732398719\u0026Signature=HhiUMMGEZEA4hSwcpMnYNhIyTm04vX1xmqAuZAWSwtyhEFH7o4ePiGwI2CkaFJ6LqY-YoCEsuN50zZzQgDXXBo1Pmv~P4sflYX6g~Vv2y3H7g1f0y9Ty-zDYLgFnPTevKt1x0RdxQ1QEBO47WASGAQigI2pmjywvNIOcykanmmwTFm6DuoqAklLDq~O64~ht0K7xhF1UglMSqGWNPDrjmtgvIO2AQZ8DZebZcBFBh5CYFqf34zWRO~XuDikbVbv0C83V6bU3NKL6y-YpGoQ9E6GG3su3Ny~ojIRVu5SKvavyoMPHCQibxeTmXZSoW8gsWSUGuggPBRtFyODObMpVtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Closed_loop_brain_training_the_science_of_neurofeedback","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384872,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384872/thumbnails/1.jpg","file_name":"Sitaram2016.pdf","download_url":"https://www.academia.edu/attachments/97384872/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Closed_loop_brain_training_the_science_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384872/Sitaram2016-libre.pdf?1673900658=\u0026response-content-disposition=attachment%3B+filename%3DClosed_loop_brain_training_the_science_o.pdf\u0026Expires=1732398719\u0026Signature=HhiUMMGEZEA4hSwcpMnYNhIyTm04vX1xmqAuZAWSwtyhEFH7o4ePiGwI2CkaFJ6LqY-YoCEsuN50zZzQgDXXBo1Pmv~P4sflYX6g~Vv2y3H7g1f0y9Ty-zDYLgFnPTevKt1x0RdxQ1QEBO47WASGAQigI2pmjywvNIOcykanmmwTFm6DuoqAklLDq~O64~ht0K7xhF1UglMSqGWNPDrjmtgvIO2AQZ8DZebZcBFBh5CYFqf34zWRO~XuDikbVbv0C83V6bU3NKL6y-YpGoQ9E6GG3su3Ny~ojIRVu5SKvavyoMPHCQibxeTmXZSoW8gsWSUGuggPBRtFyODObMpVtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":2639,"name":"Neuroimaging","url":"https://www.academia.edu/Documents/in/Neuroimaging"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":11106,"name":"Self Control","url":"https://www.academia.edu/Documents/in/Self_Control"},{"id":11880,"name":"Brain Computer Interface","url":"https://www.academia.edu/Documents/in/Brain_Computer_Interface"},{"id":14004,"name":"Stroke rehabilitation","url":"https://www.academia.edu/Documents/in/Stroke_rehabilitation"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":42276,"name":"Neuroplasticity","url":"https://www.academia.edu/Documents/in/Neuroplasticity"},{"id":43774,"name":"Learning","url":"https://www.academia.edu/Documents/in/Learning"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":99234,"name":"Animals","url":"https://www.academia.edu/Documents/in/Animals"},{"id":132020,"name":"Neuronal Plasticity","url":"https://www.academia.edu/Documents/in/Neuronal_Plasticity"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":2526151,"name":"Attention deficit disorder with hyperactivity","url":"https://www.academia.edu/Documents/in/Attention_deficit_disorder_with_hyperactivity"}],"urls":[{"id":28116170,"url":"http://www.nature.com/articles/nrn.2016.164.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113911"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113911/Theta_beta_neurofeedback_in_children_with_ADHD_Feasibility_of_a_short_term_setting_and_plasticity_effects"><img alt="Research paper thumbnail of Theta/beta neurofeedback in children with ADHD: Feasibility of a short-term setting and plasticity effects" class="work-thumbnail" src="https://attachments.academia-assets.com/97384925/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113911/Theta_beta_neurofeedback_in_children_with_ADHD_Feasibility_of_a_short_term_setting_and_plasticity_effects">Theta/beta neurofeedback in children with ADHD: Feasibility of a short-term setting and plasticity effects</a></div><div class="wp-workCard_item"><span>International Journal of Psychophysiology</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6c5bf0c388d56df6e8f29312f2e27892" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384925,"asset_id":95113911,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384925/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113911"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113911"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113911; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113911]").text(description); $(".js-view-count[data-work-id=95113911]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113911; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113911']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113911, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6c5bf0c388d56df6e8f29312f2e27892" } } $('.js-work-strip[data-work-id=95113911]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113911,"title":"Theta/beta neurofeedback in children with ADHD: Feasibility of a short-term setting and plasticity effects","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Neurofeedback (NF) is increasingly used as a therapy for attention-deficit/hyperactivity disorder (ADHD), however behavioral improvements require 20 plus training sessions. More economic evaluation strategies are needed to test methodological optimizations and mechanisms of action. In healthy adults, neuroplastic effects have been demonstrated directly after a single session of NF training. The aim of our study was to test the feasibility of short-term theta/beta NF in children with ADHD and to learn more about the mechanisms underlying this protocol. Children with ADHD conducted two theta/beta NF sessions. In the first half of the sessions, three NF trials (puzzles as feedback animations) were run with pre-and post-reading and picture search tasks. A significant decrease of the theta/beta ratio (TBR), driven by a decrease of theta activity, was found in the NF trials of the second session demonstrating rapid and successful neuroregulation by children with ADHD. For pre-post comparisons, children were split into good vs. poor regulator groups based on the slope of their TBR over the NF trials. For the reading task, significant EEG changes were seen for the theta band from pre-to post-NF depending on individual neuroregulation ability. This neuroplastic effect was not restricted to the feedback electrode Cz, but appeared as a generalized pattern, maximal over midline and right-hemisphere electrodes. Our findings indicate that short-term NF may be a valuable and economical tool to study the neuroplastic mechanisms of targeted NF protocols in clinical disorders, such as theta/beta training in children with ADHD.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"International Journal of 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Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384925,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384925/thumbnails/1.jpg","file_name":"j.ijpsycho.2016.11.00420230116-1-17dnwk2.pdf","download_url":"https://www.academia.edu/attachments/97384925/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Theta_beta_neurofeedback_in_children_wit.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384925/j.ijpsycho.2016.11.00420230116-1-17dnwk2-libre.pdf?1673900645=\u0026response-content-disposition=attachment%3B+filename%3DTheta_beta_neurofeedback_in_children_wit.pdf\u0026Expires=1732398719\u0026Signature=VHvGMOfrXsL~BmDqlqqpjizMN~urG~dCUtkBgQF89tf2IiWS2gHzapXWY~Hd7PJD7oyhXbEtEGSZtV5j7LjJlgTDOYYKEVzWoc3k2axn0r06ZABEMMQD64d3ReY-UFDWmHjM4MS~rF3B6fdTixXqyRe5cFeHJzNS9AAVYsceJ9KPoj1fT6C75r-Tq9JlfCUk9-H7aHCpl87QzpffgjOz9jNuFZxSUdz5Pp8IXe94FGf4Xu0BmCLNVi-yUhACoim75jKsRblm465~Q6tTblSuWutpkW~GO9RMky2ocFVYDMdjKcANoduaEBGzTmzZQ88q5~UmATZ6X6keGF8QW~VN1w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":1026,"name":"Psychophysiology","url":"https://www.academia.edu/Documents/in/Psychophysiology"},{"id":2351,"name":"ADHD (Psychology)","url":"https://www.academia.edu/Documents/in/ADHD_Psychology_"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":22506,"name":"Adolescent","url":"https://www.academia.edu/Documents/in/Adolescent"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":42276,"name":"Neuroplasticity","url":"https://www.academia.edu/Documents/in/Neuroplasticity"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":64933,"name":"Child","url":"https://www.academia.edu/Documents/in/Child"},{"id":83083,"name":"EEG Biofeedback","url":"https://www.academia.edu/Documents/in/EEG_Biofeedback"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":100540,"name":"Feasibility 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113910"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113910/Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder"><img alt="Research paper thumbnail of Alpha oscillation neurofeedback modulates amygdala complex connectivity and arousal in posttraumatic stress disorder" class="work-thumbnail" src="https://attachments.academia-assets.com/97384873/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113910/Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder">Alpha oscillation neurofeedback modulates amygdala complex connectivity and arousal in posttraumatic stress disorder</a></div><div class="wp-workCard_item"><span>NeuroImage: Clinical</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e745a9e011c50b9bacbb49c42a64e861" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384873,"asset_id":95113910,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384873/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: 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var workId = 95113910; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113910']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113910, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e745a9e011c50b9bacbb49c42a64e861" } } $('.js-work-strip[data-work-id=95113910]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113910,"title":"Alpha oscillation neurofeedback modulates amygdala complex connectivity and arousal in posttraumatic stress disorder","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Objective: Electroencephalogram (EEG) neurofeedback aimed at reducing the amplitude of the alpha-rhythm has been shown to alter neural networks associated with posttraumatic stress disorder (PTSD), leading to symptom alleviation. Critically, the amygdala is thought to be one of the central brain regions mediating PTSD symptoms. In the current study, we compare directly patterns of amygdala complex connectivity using fMRI, before and after EEG neurofeedback, in order to observe subcortical mechanisms associated with behavioural and alpha oscillatory changes among patients. Method: We examined basolateral (BLA), centromedial (CMA), and superficial (SFA) amygdala complex restingstate functional connectivity using a seed-based approach via SPM Anatomy Toolbox. Amygdala complex connectivity was measured in twenty-one individuals with PTSD, before and after a 30-minute session of EEG neurofeedback targeting alpha desynchronization. Results: EEG neurofeedback was associated with a shift in amygdala complex connectivity from areas implicated in defensive, emotional, and fear processing/memory retrieval (left BLA and left SFA to the periaqueductal gray, and left SFA to the left hippocampus) to prefrontal areas implicated in emotion regulation/modulation (right CMA to the medial prefrontal cortex). This shift in amygdala complex connectivity was associated with reduced arousal, greater resting alpha synchronization, and was negatively correlated to PTSD symptom severity. Conclusion: These findings have significant implications for developing targeted non-invasive treatment interventions for PTSD patients that utilize alpha oscillatory neurofeedback, showing evidence of neuronal reconfiguration between areas highly implicated in the disorder, in addition to acute symptom alleviation.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"NeuroImage: Clinical","grobid_abstract_attachment_id":97384873},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113910/Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder","translated_internal_url":"","created_at":"2023-01-16T12:09:14.630-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384873/thumbnails/1.jpg","file_name":"pmc5030332.pdf","download_url":"https://www.academia.edu/attachments/97384873/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Alpha_oscillation_neurofeedback_modulate.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384873/pmc5030332-libre.pdf?1673900643=\u0026response-content-disposition=attachment%3B+filename%3DAlpha_oscillation_neurofeedback_modulate.pdf\u0026Expires=1732398719\u0026Signature=VGDAbShirbG2OUjMdkmdgwW6azgjSKrHq3lnCJSyDmxpLZ0vafxM52gPtx7hYJMbgsfx1kZiGkGSncYoEoCK8bOhA7vpAP-BB30sGzQZZyuxFMd1YGl0FeXprzkqDD66ueAhrhnBteEhVLaxvfEOfsNiSGHNazZsMNUCzk1mpS8KH9KqTjAtfIj56j6lYh3Nb80alGHyv~Nz5Q46PEX31p8LbN4v-rTItaTQ9tZNBFLDVRicsH-~m1v1P2xLVBwDztO3SHmVKoYgps551Yn6Arb~llAz1VZ1saBM2mgQTJWo5Tu~AW6IrUV-pP4GSPRYHlfeC3Ih-1WJykjCFOB4Cg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384873/thumbnails/1.jpg","file_name":"pmc5030332.pdf","download_url":"https://www.academia.edu/attachments/97384873/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Alpha_oscillation_neurofeedback_modulate.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384873/pmc5030332-libre.pdf?1673900643=\u0026response-content-disposition=attachment%3B+filename%3DAlpha_oscillation_neurofeedback_modulate.pdf\u0026Expires=1732398719\u0026Signature=VGDAbShirbG2OUjMdkmdgwW6azgjSKrHq3lnCJSyDmxpLZ0vafxM52gPtx7hYJMbgsfx1kZiGkGSncYoEoCK8bOhA7vpAP-BB30sGzQZZyuxFMd1YGl0FeXprzkqDD66ueAhrhnBteEhVLaxvfEOfsNiSGHNazZsMNUCzk1mpS8KH9KqTjAtfIj56j6lYh3Nb80alGHyv~Nz5Q46PEX31p8LbN4v-rTItaTQ9tZNBFLDVRicsH-~m1v1P2xLVBwDztO3SHmVKoYgps551Yn6Arb~llAz1VZ1saBM2mgQTJWo5Tu~AW6IrUV-pP4GSPRYHlfeC3Ih-1WJykjCFOB4Cg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":3718,"name":"Posttraumatic Stress Disorder (PTSD)","url":"https://www.academia.edu/Documents/in/Posttraumatic_Stress_Disorder_PTSD_"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":42695,"name":"Post traumatic stress disorder","url":"https://www.academia.edu/Documents/in/Post_traumatic_stress_disorder"},{"id":76071,"name":"EEG Signal Processing","url":"https://www.academia.edu/Documents/in/EEG_Signal_Processing"},{"id":83083,"name":"EEG Biofeedback","url":"https://www.academia.edu/Documents/in/EEG_Biofeedback"},{"id":159962,"name":"Amygdala","url":"https://www.academia.edu/Documents/in/Amygdala"},{"id":306766,"name":"Arousal","url":"https://www.academia.edu/Documents/in/Arousal"},{"id":1251233,"name":"Resting State Functional Connectivity","url":"https://www.academia.edu/Documents/in/Resting_State_Functional_Connectivity"}],"urls":[{"id":28116168,"url":"https://api.elsevier.com/content/article/PII:S2213158216301267?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113909"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113909/Tuning_pathological_brain_oscillations_with_neurofeedback_a_systems_neuroscience_framework"><img alt="Research paper thumbnail of Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework" class="work-thumbnail" src="https://attachments.academia-assets.com/97384895/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113909/Tuning_pathological_brain_oscillations_with_neurofeedback_a_systems_neuroscience_framework">Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework</a></div><div class="wp-workCard_item"><span>Frontiers in human neuroscience</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a &quot;black box&quot;. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from &quot;bottom-up&quot; mechanisms of neural synchronization, followed by &quot;top-do...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d380541d0013ecc9e13ecbe4736feef4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384895,"asset_id":95113909,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384895/download_file?st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113909"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113909"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113909; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113909]").text(description); $(".js-view-count[data-work-id=95113909]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113909; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113909']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113909, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d380541d0013ecc9e13ecbe4736feef4" } } $('.js-work-strip[data-work-id=95113909]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113909,"title":"Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework","translated_title":"","metadata":{"abstract":"Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a \u0026quot;black box\u0026quot;. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from \u0026quot;bottom-up\u0026quot; mechanisms of neural synchronization, followed by \u0026quot;top-do...","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Frontiers in human neuroscience"},"translated_abstract":"Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a \u0026quot;black box\u0026quot;. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from \u0026quot;bottom-up\u0026quot; mechanisms of neural synchronization, followed by 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href="https://www.academia.edu/95113908/Beneficial_outcome_from_EEG_neurofeedback_on_creative_music_performance_attention_and_well_being_in_school_children"><img alt="Research paper thumbnail of Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children" class="work-thumbnail" src="https://attachments.academia-assets.com/97384880/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113908/Beneficial_outcome_from_EEG_neurofeedback_on_creative_music_performance_attention_and_well_being_in_school_children">Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children</a></div><div class="wp-workCard_item"><span>Biological Psychology</span><span>, 2014</span></div><div 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{"id":95113908,"title":"Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"We earlier reported benefits for creativity in rehearsed music performance from alpha/theta (A/T) neurofeedback in conservatoire studies (Egner \u0026 Gruzelier, 2003) which were not found with SMR, Beta1, mental skills, aerobics or Alexander training, or in standby controls. Here the focus was the impact on novice music performance. A/T and SMR training were compared in 11-year old school children along with non-intervention controls with outcome measures not only of rehearsed music performance but also of creative improvisation, as well as sustained attention and phenomenology. Evidence of effective learning in the school setting was obtained for A/T and SMR/beta2 ratios. Preferential benefits from A/T for rehearsed music performance were replicated in children for technique and communication ratings. Benefits extended to creativity and communication ratings for creative improvisation which were shared with SMR training, disclosing an influence of SMR on unrehearsed music performance at a novice level with its greater cognitive demands. In a first application of A/T for improving sustained attention (TOVA), it was found to be more successful than SMR training, with a notable reduction in commission errors in the children, 15/33 of whom had attention indices in the ADHD range. Phenomenological reports were in favour of neurofeedback and well-being benefits. Implementing neurofeedback in the daily school setting proved feasible and holds pedagogic promise.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Biological Psychology","grobid_abstract_attachment_id":97384880},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113908/Beneficial_outcome_from_EEG_neurofeedback_on_creative_music_performance_attention_and_well_being_in_school_children","translated_internal_url":"","created_at":"2023-01-16T12:09:14.402-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384880,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384880/thumbnails/1.jpg","file_name":"Gruzelier-Steffert-2013-Beneficial_20outcome_20from_20neurofeedback_20on_20creative_20music_20performance_20attention.pdf","download_url":"https://www.academia.edu/attachments/97384880/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Beneficial_outcome_from_EEG_neurofeedbac.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384880/Gruzelier-Steffert-2013-Beneficial_20outcome_20from_20neurofeedback_20on_20creative_20music_20performance_20attention-libre.pdf?1673900877=\u0026response-content-disposition=attachment%3B+filename%3DBeneficial_outcome_from_EEG_neurofeedbac.pdf\u0026Expires=1732398720\u0026Signature=SmbYd3px7ZVVrtKpNdwLf-QeFACoefnhi3abbL4ipIOGftEzEPzzCusEpr7WjfF46WD6Gj02DnND9YxUK1C3BlOOxfJChxOCknUN6g-cbHskGBf1wzEWZghqe5aZU5v4sW7M5Z23N8v~rRkpK8W2aw91ywUKblXiH~k6FDs1MQ8RGBVljGIwVKErRbU-DFQJ78JKWNIwWc9XJvp3bfWd5xnihiEL6fINdQUU1J8VYqz19qV3rJ56Huvc1NlnrwIHlzuO9Hg7XsirixSgh5UYfakPlzqb3U23I9mYBPK7zMz~EOmsvBUIHYNOVXffN~cDdVBDvETHB1w7IwOujrfxoA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Beneficial_outcome_from_EEG_neurofeedback_on_creative_music_performance_attention_and_well_being_in_school_children","translated_slug":"","page_count":10,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas 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href="https://www.academia.edu/118562846/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback"><img alt="Research paper thumbnail of Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/114158309/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118562846/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback">Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback</a></div><div class="wp-workCard_item"><span>Brain Communications</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Collective research has identified a key electroencephalogram signature in patients with post-tra...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8–12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre- and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first obse...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="93960c53628ec7acc991e14efb0da23c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":114158309,"asset_id":118562846,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/114158309/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118562846"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118562846"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118562846; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118562846]").text(description); $(".js-view-count[data-work-id=118562846]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118562846; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118562846']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 118562846, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "93960c53628ec7acc991e14efb0da23c" } } $('.js-work-strip[data-work-id=118562846]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118562846,"title":"Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback","translated_title":"","metadata":{"abstract":"Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8–12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre- and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first obse...","publisher":"Oxford University Press (OUP)","publication_name":"Brain Communications"},"translated_abstract":"Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8–12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre- and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first obse...","internal_url":"https://www.academia.edu/118562846/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback","translated_internal_url":"","created_at":"2024-05-04T23:36:55.161-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":114158309,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/114158309/thumbnails/1.jpg","file_name":"fcad068.pdf","download_url":"https://www.academia.edu/attachments/114158309/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Homeostatic_normalization_of_alpha_brain.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/114158309/fcad068-libre.pdf?1714892182=\u0026response-content-disposition=attachment%3B+filename%3DHomeostatic_normalization_of_alpha_brain.pdf\u0026Expires=1732398719\u0026Signature=MWFm8OINYPRTCF7nPBXAJ5y7I54s-n4JGzhbv72Kd0DfaZN8PQyxUi33y6K6G7TWgJQ-pz-Wt~2XcAMKt6QUyThjkp4eA6z-hewvu8rDJ57w8AWoh7OFBvl-XJLzMply-C7ceHzLdMGVu3LnQn75BdfU2zLNfyCIYta4gpGHW5VXOfzBmQynw~~gLjRPe-dq1sdJ~87ZUh8zWHz-Ge7UygKK3kP7GR6eFTWe-NHnGU4IoBkX9YRee2Fbu91nIkZOAJDGyrnXambOVlWXJQ5BJpUDnu3G8QpMG9NtB1pvv4ZdyaPCPxUvUIUo36nBNoJ0tT9sEfOVVbBr2Erp4zTraQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback","translated_slug":"","page_count":16,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":114158309,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/114158309/thumbnails/1.jpg","file_name":"fcad068.pdf","download_url":"https://www.academia.edu/attachments/114158309/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Homeostatic_normalization_of_alpha_brain.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/114158309/fcad068-libre.pdf?1714892182=\u0026response-content-disposition=attachment%3B+filename%3DHomeostatic_normalization_of_alpha_brain.pdf\u0026Expires=1732398719\u0026Signature=MWFm8OINYPRTCF7nPBXAJ5y7I54s-n4JGzhbv72Kd0DfaZN8PQyxUi33y6K6G7TWgJQ-pz-Wt~2XcAMKt6QUyThjkp4eA6z-hewvu8rDJ57w8AWoh7OFBvl-XJLzMply-C7ceHzLdMGVu3LnQn75BdfU2zLNfyCIYta4gpGHW5VXOfzBmQynw~~gLjRPe-dq1sdJ~87ZUh8zWHz-Ge7UygKK3kP7GR6eFTWe-NHnGU4IoBkX9YRee2Fbu91nIkZOAJDGyrnXambOVlWXJQ5BJpUDnu3G8QpMG9NtB1pvv4ZdyaPCPxUvUIUo36nBNoJ0tT9sEfOVVbBr2Erp4zTraQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":3164,"name":"Traumatic Stress","url":"https://www.academia.edu/Documents/in/Traumatic_Stress"},{"id":3718,"name":"Posttraumatic Stress Disorder (PTSD)","url":"https://www.academia.edu/Documents/in/Posttraumatic_Stress_Disorder_PTSD_"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":83083,"name":"EEG Biofeedback","url":"https://www.academia.edu/Documents/in/EEG_Biofeedback"},{"id":88462,"name":"Default Mode Network","url":"https://www.academia.edu/Documents/in/Default_Mode_Network"},{"id":255196,"name":"QEEG/ neurofeedback","url":"https://www.academia.edu/Documents/in/QEEG_neurofeedback"}],"urls":[{"id":41656574,"url":"https://academic.oup.com/braincomms/advance-article-pdf/doi/10.1093/braincomms/fcad068/49604119/fcad068.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="101107920"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/101107920/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback"><img alt="Research paper thumbnail of Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/101738975/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/101107920/Homeostatic_normalization_of_alpha_brain_rhythms_within_the_default_mode_network_and_reduced_symptoms_in_post_traumatic_stress_disorder_following_a_randomized_controlled_trial_of_electroencephalogram_neurofeedback">Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://unige.academia.edu/TomasRos">Tomas Ros</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ThebergeJ">J. Theberge</a></span></div><div class="wp-workCard_item"><span>Brain Communications</span><span>, 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Collective research has identified a key electroencephalogram signature in patients with post-tra...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8-12 Hz) rhythms. We conducted a 20-session, double-blind, randomized controlled trial of alpha desynchronizing neurofeedback in patients with post-traumatic stress disorder over 20 weeks. Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre-and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first observed significantly reduced relative alpha source power at baseline in patients with post-traumatic stress disorder as compared to an age/sex-matched group of neurotypical healthy controls (n = 32), primarily within regions of the anterior default mode network. Post-treatment, we found that only post-traumatic stress disorder patients in the experimental neurofeedback group demonstrated significant alpha resynchronization within areas that displayed abnormally low alpha power at baseline. In parallel, we observed significantly decreased post-traumatic stress disorder severity scores in the experimental neurofeedback group only, when comparing baseline to post-treatment (Cohen's d = 0.77) and three-month follow-up scores (Cohen's d = 0.75), with a remission rate of 60.0% at the three-month follow-up. Overall, our results indicate that neurofeedback training can rescue pathologically reduced alpha rhythmicity, a functional biomarker that has repeatedly been linked to symptoms of hyperarousal and cortical disinhibition in post-traumatic stress disorder. This randomized controlled trial provides long-term evidence suggesting that the 'alpha rebound effect' (i.e. homeostatic alpha resynchronization) occurs within key regions of the default mode network previously implicated in post-traumatic stress disorder.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="db06aeea9314963f7758b86ac0fd08ac" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101738975,"asset_id":101107920,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101738975/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="101107920"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="101107920"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 101107920; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=101107920]").text(description); $(".js-view-count[data-work-id=101107920]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 101107920; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='101107920']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 101107920, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "db06aeea9314963f7758b86ac0fd08ac" } } $('.js-work-strip[data-work-id=101107920]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":101107920,"title":"Homeostatic normalization of alpha brain rhythms within the default-mode network and reduced symptoms in post-traumatic stress disorder following a randomized controlled trial of electroencephalogram neurofeedback","translated_title":"","metadata":{"doi":"10.1093/braincomms/fcad068","abstract":"Collective research has identified a key electroencephalogram signature in patients with post-traumatic stress disorder, consisting of abnormally reduced alpha (8-12 Hz) rhythms. 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Our objective was to provide mechanistic evidence underlying potential clinical improvements by examining changes in aberrant post-traumatic stress disorder brain rhythms (namely, alpha oscillations) as a function of neurofeedback treatment. We randomly assigned participants with a primary diagnosis of post-traumatic stress disorder (n = 38) to either an experimental group (n = 20) or a sham-control group (n = 18). A multichannel electroencephalogram cap was used to record whole-scalp resting-state activity pre-and post-neurofeedback treatment, for both the experimental and sham-control post-traumatic stress disorder groups. We first observed significantly reduced relative alpha source power at baseline in patients with post-traumatic stress disorder as compared to an age/sex-matched group of neurotypical healthy controls (n = 32), primarily within regions of the anterior default mode network. Post-treatment, we found that only post-traumatic stress disorder patients in the experimental neurofeedback group demonstrated significant alpha resynchronization within areas that displayed abnormally low alpha power at baseline. In parallel, we observed significantly decreased post-traumatic stress disorder severity scores in the experimental neurofeedback group only, when comparing baseline to post-treatment (Cohen's d = 0.77) and three-month follow-up scores (Cohen's d = 0.75), with a remission rate of 60.0% at the three-month follow-up. Overall, our results indicate that neurofeedback training can rescue pathologically reduced alpha rhythmicity, a functional biomarker that has repeatedly been linked to symptoms of hyperarousal and cortical disinhibition in post-traumatic stress disorder. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113927"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113927/Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback"><img alt="Research paper thumbnail of Cognitive enhancement by self-regulation of endogenous oscillations with neurofeedback" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113927/Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback">Cognitive enhancement by self-regulation of endogenous oscillations with neurofeedback</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In the last years, innovations in technology and methodology, as well as increased knowledge abou...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In the last years, innovations in technology and methodology, as well as increased knowledge about cortical oscillations have significantly impacted the advancement of new neurofeedback approaches. As such, sham-controlled studies, showing evidence for enhanced performance of cognition after self-regulation of brain activity, have been published. Effects have been demonstrated regarding working memory (Hsueh et al. 2016), executive functions (Enriquez-Geppert et al. 2014), binding processes (Keizer et al. 2010 a,b), and memory (Guez et al. 2014), as well as real-life performance (Ros et al. 2009). In this chapter, we first present the rationale behind neurofeedback based on electroencephalography (EEG) and then list examples of recent studies demonstrating effects on cognition and everyday life performance. Subsequentially, the conceptualization of the self-regulation of brain activity, as well as neuroplastic effects evoked by neurofeedback follow. As a next step, issues regarding ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113927"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113927"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113927; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113927]").text(description); $(".js-view-count[data-work-id=95113927]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113927; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113927']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113927, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=95113927]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113927,"title":"Cognitive enhancement by self-regulation of endogenous oscillations with neurofeedback","translated_title":"","metadata":{"abstract":"In the last years, innovations in technology and methodology, as well as increased knowledge about cortical oscillations have significantly impacted the advancement of new neurofeedback approaches. As such, sham-controlled studies, showing evidence for enhanced performance of cognition after self-regulation of brain activity, have been published. Effects have been demonstrated regarding working memory (Hsueh et al. 2016), executive functions (Enriquez-Geppert et al. 2014), binding processes (Keizer et al. 2010 a,b), and memory (Guez et al. 2014), as well as real-life performance (Ros et al. 2009). In this chapter, we first present the rationale behind neurofeedback based on electroencephalography (EEG) and then list examples of recent studies demonstrating effects on cognition and everyday life performance. Subsequentially, the conceptualization of the self-regulation of brain activity, as well as neuroplastic effects evoked by neurofeedback follow. As a next step, issues regarding ...","publication_date":{"day":null,"month":null,"year":2017,"errors":{}}},"translated_abstract":"In the last years, innovations in technology and methodology, as well as increased knowledge about cortical oscillations have significantly impacted the advancement of new neurofeedback approaches. As such, sham-controlled studies, showing evidence for enhanced performance of cognition after self-regulation of brain activity, have been published. Effects have been demonstrated regarding working memory (Hsueh et al. 2016), executive functions (Enriquez-Geppert et al. 2014), binding processes (Keizer et al. 2010 a,b), and memory (Guez et al. 2014), as well as real-life performance (Ros et al. 2009). In this chapter, we first present the rationale behind neurofeedback based on electroencephalography (EEG) and then list examples of recent studies demonstrating effects on cognition and everyday life performance. Subsequentially, the conceptualization of the self-regulation of brain activity, as well as neuroplastic effects evoked by neurofeedback follow. As a next step, issues regarding ...","internal_url":"https://www.academia.edu/95113927/Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback","translated_internal_url":"","created_at":"2023-01-16T12:09:16.383-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Cognitive_enhancement_by_self_regulation_of_endogenous_oscillations_with_neurofeedback","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113925"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113925/EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy"><img alt="Research paper thumbnail of EEG Neurofeedback for Anxiety Disorders and Post-Traumatic Stress Disorders: A Blueprint for a Promising Brain-Based Therapy" class="work-thumbnail" src="https://attachments.academia-assets.com/97384876/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113925/EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy">EEG Neurofeedback for Anxiety Disorders and Post-Traumatic Stress Disorders: A Blueprint for a Promising Brain-Based Therapy</a></div><div class="wp-workCard_item"><span>Current Psychiatry Reports</span><span>, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="18b06d80c37ed288b0c441c4a0c27e18" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384876,"asset_id":95113925,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384876/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113925"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113925"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113925; 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Recent Findings The manifestations of anxiety disorders and post-traumatic stress disorders (PTSD) are associated with dysfunctions of neurophysiological stress axes and brain arousal circuits, which are important dimensions of the research domain criteria (RDoC). Even if the pathophysiology of these disorders is complex, one of its defining signatures is behavioral and physiological over-arousal. Interestingly, arousal-related brain activity can be modulated by electroencephalogram-based neurofeedback (EEG NF), a non-pharmacological and non-invasive method that involves neurocognitive training through a brain-computer interface (BCI). EEG NF is characterized by a simultaneous learning process where both patient and computer are involved in modifying neuronal activity or connectivity, thereby improving associated symptoms of anxiety and/or over-arousal. Summary Positive effects of EEG NF have been described for both anxiety disorders and PTSD, yet due to a number of methodological issues, it remains unclear whether symptom improvement is the direct result of neurophysiological changes targeted by EEG NF. Thus, in this work we sought to bridge current knowledge on brain mechanisms of arousal with past and present EEG NF therapies for anxiety and PTSD. In a nutshell, we discuss the neurophysiological mechanisms underlying the effects of EEG NF in anxiety disorder and PTSD, the methodological strengths/weaknesses of existing EEG NF randomized controlled trials for these disorders, and the neuropsychological factors that may impact NF training success.","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Current Psychiatry Reports","grobid_abstract_attachment_id":97384876},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113925/EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy","translated_internal_url":"","created_at":"2023-01-16T12:09:16.253-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384876,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384876/thumbnails/1.jpg","file_name":"EEGNeurofeedbackForAnxietyDiso.pdf","download_url":"https://www.academia.edu/attachments/97384876/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"EEG_Neurofeedback_for_Anxiety_Disorders.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384876/EEGNeurofeedbackForAnxietyDiso-libre.pdf?1673900645=\u0026response-content-disposition=attachment%3B+filename%3DEEG_Neurofeedback_for_Anxiety_Disorders.pdf\u0026Expires=1732398719\u0026Signature=S5QjYDpOrVg1CC9K4YcyZJYXkEiV~iU-hp2h1IknGamzw6ag7cxzzfEJQvXRJAR~1oPtowTebDgURV7yWYJczlsl4UIW3qFicyxaV7Jt3refd8ccLdsCvzkTgA5bglGcrF3zl6CClL6Xjfd61PaQhj4NH7-nfSxjccD215ucgz4Wp6DRfwlxHoz-4sGtTMrRnObE9lZavs80Q44o-elHwmBo5LXuLbo1de5cG~Q~Z4BfAu40X-DZWspgF3ph~GmL-WIr4eB7Smc1x-2u3oTijWTnyXue~WFSSOaQxHG86HkZDF0KpYuamvevfU4VR4rdzgeKyko1Hhap1xr6iuXGJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"EEG_Neurofeedback_for_Anxiety_Disorders_and_Post_Traumatic_Stress_Disorders_A_Blueprint_for_a_Promising_Brain_Based_Therapy","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384876,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384876/thumbnails/1.jpg","file_name":"EEGNeurofeedbackForAnxietyDiso.pdf","download_url":"https://www.academia.edu/attachments/97384876/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"EEG_Neurofeedback_for_Anxiety_Disorders.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384876/EEGNeurofeedbackForAnxietyDiso-libre.pdf?1673900645=\u0026response-content-disposition=attachment%3B+filename%3DEEG_Neurofeedback_for_Anxiety_Disorders.pdf\u0026Expires=1732398719\u0026Signature=S5QjYDpOrVg1CC9K4YcyZJYXkEiV~iU-hp2h1IknGamzw6ag7cxzzfEJQvXRJAR~1oPtowTebDgURV7yWYJczlsl4UIW3qFicyxaV7Jt3refd8ccLdsCvzkTgA5bglGcrF3zl6CClL6Xjfd61PaQhj4NH7-nfSxjccD215ucgz4Wp6DRfwlxHoz-4sGtTMrRnObE9lZavs80Q44o-elHwmBo5LXuLbo1de5cG~Q~Z4BfAu40X-DZWspgF3ph~GmL-WIr4eB7Smc1x-2u3oTijWTnyXue~WFSSOaQxHG86HkZDF0KpYuamvevfU4VR4rdzgeKyko1Hhap1xr6iuXGJA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":38676,"name":"Anxiety","url":"https://www.academia.edu/Documents/in/Anxiety"},{"id":42695,"name":"Post traumatic stress disorder","url":"https://www.academia.edu/Documents/in/Post_traumatic_stress_disorder"},{"id":43774,"name":"Learning","url":"https://www.academia.edu/Documents/in/Learning"},{"id":51861,"name":"Neurocognitive","url":"https://www.academia.edu/Documents/in/Neurocognitive"},{"id":306766,"name":"Arousal","url":"https://www.academia.edu/Documents/in/Arousal"},{"id":623821,"name":"ANXIETY","url":"https://www.academia.edu/Documents/in/ANXIETY-1"},{"id":836997,"name":"Anxiety Disorder","url":"https://www.academia.edu/Documents/in/Anxiety_Disorder"}],"urls":[{"id":28116178,"url":"https://link.springer.com/content/pdf/10.1007/s11920-021-01299-9.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113923"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113923/Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder"><img alt="Research paper thumbnail of Electrophysiological correlates of improved executive function following EEG neurofeedback in adult attention deficit hyperactivity disorder" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113923/Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder">Electrophysiological correlates of improved executive function following EEG neurofeedback in adult attention deficit hyperactivity disorder</a></div><div class="wp-workCard_item"><span>Clinical Neurophysiology</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive pro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive processing deficits in attention deficit hyperactivity disorder (ADHD). However, this evidence is mostly limited to cross-sectional data. The current study utilized neurofeedback (NFB) as a neuromodulatory tool to examine the ERP correlates of attentional and inhibitory processes in adult ADHD using a single-session, within-subject design. METHODS We recorded high-density EEG in 25 adult ADHD patients and 22 neurotypical controls during a Go/NoGo task, before and after a 30-minute NFB session designed to down-regulate the alpha (8-12 Hz) rhythm. RESULTS At baseline, ADHD patients demonstrated impaired Go/NoGo performance compared to controls, while Go-P3 amplitude inversely correlated with ADHD-associated symptomatology in childhood. Post NFB, task performance improved in both groups, significantly enhancing stimulus detectability (d-prime) and reducing reaction time variability, while increasing N1 and P3 ERP component amplitudes. Specifically for ADHD patients, the pre-to-post enhancement in Go-P3 amplitude correlated with measures of improved executive function, i.e., enhanced d-prime, reduced omission errors and reduced reaction time variability. CONCLUSIONS A single-session of alpha down-regulation NFB was able to reverse the abnormal neurocognitive signatures of adult ADHD during a Go/NoGo task. SIGNIFICANCE The study demonstrates for the first time the beneficial neurobehavioral effect of a single NFB session in adult ADHD, and reinforces the notion that ERPs could serve as useful diagnostic/prognostic markers of executive dysfunction.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113923"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113923"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113923; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113923]").text(description); $(".js-view-count[data-work-id=95113923]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113923; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113923']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113923, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=95113923]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113923,"title":"Electrophysiological correlates of improved executive function following EEG neurofeedback in adult attention deficit hyperactivity disorder","translated_title":"","metadata":{"abstract":"OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive processing deficits in attention deficit hyperactivity disorder (ADHD). However, this evidence is mostly limited to cross-sectional data. The current study utilized neurofeedback (NFB) as a neuromodulatory tool to examine the ERP correlates of attentional and inhibitory processes in adult ADHD using a single-session, within-subject design. METHODS We recorded high-density EEG in 25 adult ADHD patients and 22 neurotypical controls during a Go/NoGo task, before and after a 30-minute NFB session designed to down-regulate the alpha (8-12 Hz) rhythm. RESULTS At baseline, ADHD patients demonstrated impaired Go/NoGo performance compared to controls, while Go-P3 amplitude inversely correlated with ADHD-associated symptomatology in childhood. Post NFB, task performance improved in both groups, significantly enhancing stimulus detectability (d-prime) and reducing reaction time variability, while increasing N1 and P3 ERP component amplitudes. Specifically for ADHD patients, the pre-to-post enhancement in Go-P3 amplitude correlated with measures of improved executive function, i.e., enhanced d-prime, reduced omission errors and reduced reaction time variability. CONCLUSIONS A single-session of alpha down-regulation NFB was able to reverse the abnormal neurocognitive signatures of adult ADHD during a Go/NoGo task. SIGNIFICANCE The study demonstrates for the first time the beneficial neurobehavioral effect of a single NFB session in adult ADHD, and reinforces the notion that ERPs could serve as useful diagnostic/prognostic markers of executive dysfunction.","publisher":"Elsevier BV","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Clinical Neurophysiology"},"translated_abstract":"OBJECTIVE Event-related potentials (ERPs) are reported to be altered in relation to cognitive processing deficits in attention deficit hyperactivity disorder (ADHD). However, this evidence is mostly limited to cross-sectional data. The current study utilized neurofeedback (NFB) as a neuromodulatory tool to examine the ERP correlates of attentional and inhibitory processes in adult ADHD using a single-session, within-subject design. METHODS We recorded high-density EEG in 25 adult ADHD patients and 22 neurotypical controls during a Go/NoGo task, before and after a 30-minute NFB session designed to down-regulate the alpha (8-12 Hz) rhythm. RESULTS At baseline, ADHD patients demonstrated impaired Go/NoGo performance compared to controls, while Go-P3 amplitude inversely correlated with ADHD-associated symptomatology in childhood. Post NFB, task performance improved in both groups, significantly enhancing stimulus detectability (d-prime) and reducing reaction time variability, while increasing N1 and P3 ERP component amplitudes. Specifically for ADHD patients, the pre-to-post enhancement in Go-P3 amplitude correlated with measures of improved executive function, i.e., enhanced d-prime, reduced omission errors and reduced reaction time variability. CONCLUSIONS A single-session of alpha down-regulation NFB was able to reverse the abnormal neurocognitive signatures of adult ADHD during a Go/NoGo task. SIGNIFICANCE The study demonstrates for the first time the beneficial neurobehavioral effect of a single NFB session in adult ADHD, and reinforces the notion that ERPs could serve as useful diagnostic/prognostic markers of executive dysfunction.","internal_url":"https://www.academia.edu/95113923/Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder","translated_internal_url":"","created_at":"2023-01-16T12:09:16.097-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Electrophysiological_correlates_of_improved_executive_function_following_EEG_neurofeedback_in_adult_attention_deficit_hyperactivity_disorder","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":4139,"name":"Audiology","url":"https://www.academia.edu/Documents/in/Audiology"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":32362,"name":"Executive Control","url":"https://www.academia.edu/Documents/in/Executive_Control"},{"id":51861,"name":"Neurocognitive","url":"https://www.academia.edu/Documents/in/Neurocognitive"},{"id":76071,"name":"EEG Signal Processing","url":"https://www.academia.edu/Documents/in/EEG_Signal_Processing"},{"id":83083,"name":"EEG Biofeedback","url":"https://www.academia.edu/Documents/in/EEG_Biofeedback"},{"id":122378,"name":"adult ADHD","url":"https://www.academia.edu/Documents/in/adult_ADHD"},{"id":133722,"name":"Executive Functions","url":"https://www.academia.edu/Documents/in/Executive_Functions"},{"id":150884,"name":"Event Related Potentials","url":"https://www.academia.edu/Documents/in/Event_Related_Potentials"},{"id":263020,"name":"Clinical Neurophysiology","url":"https://www.academia.edu/Documents/in/Clinical_Neurophysiology"},{"id":693316,"name":"EEG Signal Analysis","url":"https://www.academia.edu/Documents/in/EEG_Signal_Analysis"},{"id":2754641,"name":"Attention deficit hyperactivity disorder","url":"https://www.academia.edu/Documents/in/Attention_deficit_hyperactivity_disorder-1"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health 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investigation showing evidence of decreased PTSD symptoms and restored default mode and salience network connectivity using fMRI" class="work-thumbnail" src="https://attachments.academia-assets.com/97384881/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113921/A_randomized_controlled_trial_of_alpha_rhythm_EEG_neurofeedback_in_posttraumatic_stress_disorder_A_preliminary_investigation_showing_evidence_of_decreased_PTSD_symptoms_and_restored_default_mode_and_salience_network_connectivity_using_fMRI">A randomized, controlled trial of alpha-rhythm EEG neurofeedback in posttraumatic stress disorder: A preliminary investigation showing evidence of decreased PTSD symptoms and restored default mode and salience network connectivity using fMRI</a></div><div class="wp-workCard_item"><span>NeuroImage: Clinical</span><span>, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="89550836d31b8132fe7e041b3efdfa0c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384881,"asset_id":95113921,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384881/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113921"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113920"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113920/PET_Imaging_of_Dopamine_Neurotransmission_During_EEG_Neurofeedback"><img alt="Research paper thumbnail of PET Imaging of Dopamine Neurotransmission During EEG Neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/97384871/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113920/PET_Imaging_of_Dopamine_Neurotransmission_During_EEG_Neurofeedback">PET Imaging of Dopamine Neurotransmission During EEG Neurofeedback</a></div><div class="wp-workCard_item"><span>Frontiers in Physiology</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Neurofeedback (NFB) is a brain-based training method that enables users to control their own cort...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Neurofeedback (NFB) is a brain-based training method that enables users to control their own cortical oscillations using real-time feedback from the electroencephalogram (EEG). Importantly, no investigations to date have directly explored the potential impact of NFB on the brain’s key neuromodulatory systems. Our study’s objective was to assess the capacity of NFB to induce dopamine release as revealed by positron emission tomography (PET). Thirty-two healthy volunteers were randomized to either EEG-neurofeedback (NFB) or EEG-electromyography (EMG), and scanned while performing self-regulation during a single session of dynamic PET brain imaging using the high affinity D2/3 receptor radiotracer, [18F]Fallypride. NFB and EMG groups down-regulated cortical alpha power and facial muscle tone, respectively. Task-induced effects on endogenous dopamine release were estimated in the frontal cortex, anterior cingulate cortex, and thalamus, using the linearized simplified reference region mo...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="161d4d80a3c81f5eccaac4919eed6da0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384871,"asset_id":95113920,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384871/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113920"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113920"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113920; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113920]").text(description); $(".js-view-count[data-work-id=95113920]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113920; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113920']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113920, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "161d4d80a3c81f5eccaac4919eed6da0" } } $('.js-work-strip[data-work-id=95113920]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113920,"title":"PET Imaging of Dopamine Neurotransmission During EEG Neurofeedback","translated_title":"","metadata":{"abstract":"Neurofeedback (NFB) is a brain-based training method that enables users to control their own cortical oscillations using real-time feedback from the electroencephalogram (EEG). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113919"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113919/Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback"><img alt="Research paper thumbnail of Linking alpha oscillations, attention and inhibitory control in adult ADHD with EEG neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/97384875/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113919/Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback">Linking alpha oscillations, attention and inhibitory control in adult ADHD with EEG neurofeedback</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD. In particular, the alpha rhythm (8-12 Hz), known to be modulated during attention, has previously been considered as candidate biomarker for ADHD. In the present study, we asked adult ADHD patients to self-regulate their own alpha rhythm using neurofeedback (NFB), in order to examine the modulation of alpha oscillations on attentional performance and brain plasticity. Twenty-five adult ADHD patients and 22 healthy controls underwent a 64-channel EEG-recording at resting-state and during a Go/NoGo task, before and after a 30 min-NFB session designed to reduce (desynchronize) the power of the alpha rhythm. Alpha power was compared across conditions and groups, and the effects of NFB were statistically assessed by comparing behavioral and EEG measures pre-to-post NFB. Firstly, we found that relative alpha power was attenuated in our ADHD cohort compared to control subjects at baseline and...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8192e8f5fda4f0d9ae2bb9b8c5ea3bad" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384875,"asset_id":95113919,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384875/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113919"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113919"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113919; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113919]").text(description); $(".js-view-count[data-work-id=95113919]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113919; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113919']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113919, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8192e8f5fda4f0d9ae2bb9b8c5ea3bad" } } $('.js-work-strip[data-work-id=95113919]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113919,"title":"Linking alpha oscillations, attention and inhibitory control in adult ADHD with EEG neurofeedback","translated_title":"","metadata":{"abstract":"Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD. In particular, the alpha rhythm (8-12 Hz), known to be modulated during attention, has previously been considered as candidate biomarker for ADHD. In the present study, we asked adult ADHD patients to self-regulate their own alpha rhythm using neurofeedback (NFB), in order to examine the modulation of alpha oscillations on attentional performance and brain plasticity. Twenty-five adult ADHD patients and 22 healthy controls underwent a 64-channel EEG-recording at resting-state and during a Go/NoGo task, before and after a 30 min-NFB session designed to reduce (desynchronize) the power of the alpha rhythm. Alpha power was compared across conditions and groups, and the effects of NFB were statistically assessed by comparing behavioral and EEG measures pre-to-post NFB. Firstly, we found that relative alpha power was attenuated in our ADHD cohort compared to control subjects at baseline and...","publisher":"Cold Spring Harbor Laboratory","publication_date":{"day":null,"month":null,"year":2019,"errors":{}}},"translated_abstract":"Abnormal patterns of electrical oscillatory activity have been repeatedly described in adult ADHD. In particular, the alpha rhythm (8-12 Hz), known to be modulated during attention, has previously been considered as candidate biomarker for ADHD. In the present study, we asked adult ADHD patients to self-regulate their own alpha rhythm using neurofeedback (NFB), in order to examine the modulation of alpha oscillations on attentional performance and brain plasticity. Twenty-five adult ADHD patients and 22 healthy controls underwent a 64-channel EEG-recording at resting-state and during a Go/NoGo task, before and after a 30 min-NFB session designed to reduce (desynchronize) the power of the alpha rhythm. Alpha power was compared across conditions and groups, and the effects of NFB were statistically assessed by comparing behavioral and EEG measures pre-to-post NFB. Firstly, we found that relative alpha power was attenuated in our ADHD cohort compared to control subjects at baseline and...","internal_url":"https://www.academia.edu/95113919/Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback","translated_internal_url":"","created_at":"2023-01-16T12:09:15.686-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384875,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384875/thumbnails/1.jpg","file_name":"689398.full.pdf","download_url":"https://www.academia.edu/attachments/97384875/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Linking_alpha_oscillations_attention_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384875/689398.full-libre.pdf?1673900663=\u0026response-content-disposition=attachment%3B+filename%3DLinking_alpha_oscillations_attention_and.pdf\u0026Expires=1732398719\u0026Signature=eOVQKyeQHW8dx7w~bM0CqL-P7mp8wq6IPiVIPMUjX2ZfS7LiaUVEsl5vGpQixjXDpmFYN0WArC5LrGljo3hSvsunW-HFe0jyV4SY1vFB9MZ4BdyQ3UdiuHAhR902jkaDlk~u2fOFom0zaOwvXca7Kip0fiso9RvKT9lpMFpa6ZECNxvBhTl49Clb263dvKjH1-qNnY1zSZf6FlfYHA~2qUBy8ZOw6wXuUYvFkwtM6pysQ2cmo9nzllFYP22-vt7DSl-O4hZ90zz0sXmE2hC~5dVUNpuEajLF-l2roH5FdyGXQeqV7E9AZoiSGW6mbY6yt-xvd5eCKQYmIxNgtFuAzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Linking_alpha_oscillations_attention_and_inhibitory_control_in_adult_ADHD_with_EEG_neurofeedback","translated_slug":"","page_count":29,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384875,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384875/thumbnails/1.jpg","file_name":"689398.full.pdf","download_url":"https://www.academia.edu/attachments/97384875/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Linking_alpha_oscillations_attention_and.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384875/689398.full-libre.pdf?1673900663=\u0026response-content-disposition=attachment%3B+filename%3DLinking_alpha_oscillations_attention_and.pdf\u0026Expires=1732398719\u0026Signature=eOVQKyeQHW8dx7w~bM0CqL-P7mp8wq6IPiVIPMUjX2ZfS7LiaUVEsl5vGpQixjXDpmFYN0WArC5LrGljo3hSvsunW-HFe0jyV4SY1vFB9MZ4BdyQ3UdiuHAhR902jkaDlk~u2fOFom0zaOwvXca7Kip0fiso9RvKT9lpMFpa6ZECNxvBhTl49Clb263dvKjH1-qNnY1zSZf6FlfYHA~2qUBy8ZOw6wXuUYvFkwtM6pysQ2cmo9nzllFYP22-vt7DSl-O4hZ90zz0sXmE2hC~5dVUNpuEajLF-l2roH5FdyGXQeqV7E9AZoiSGW6mbY6yt-xvd5eCKQYmIxNgtFuAzQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":3886,"name":"Rhythm","url":"https://www.academia.edu/Documents/in/Rhythm"},{"id":4139,"name":"Audiology","url":"https://www.academia.edu/Documents/in/Audiology"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":76071,"name":"EEG Signal Processing","url":"https://www.academia.edu/Documents/in/EEG_Signal_Processing"},{"id":1275961,"name":"Alpha Rhythm","url":"https://www.academia.edu/Documents/in/Alpha_Rhythm"}],"urls":[{"id":28116174,"url":"https://syndication.highwire.org/content/doi/10.1101/689398"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113918"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113918/Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder"><img alt="Research paper thumbnail of Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?" class="work-thumbnail" src="https://attachments.academia-assets.com/97384877/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113918/Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder">Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?</a></div><div class="wp-workCard_item"><span>Clinical Neurophysiology</span><span>, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="27d3ebd61ca86eea16407feae3a93883" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384877,"asset_id":95113918,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384877/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113918"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113918"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113918; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113918]").text(description); $(".js-view-count[data-work-id=95113918]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113918; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113918']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113918, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "27d3ebd61ca86eea16407feae3a93883" } } $('.js-work-strip[data-work-id=95113918]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113918,"title":"Is there a cluster of high theta-beta ratio patients in attention deficit hyperactivity disorder?","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Objective It has been suggested that there exists a subgroup of ADHD patients that have a high theta-beta ratio (TBR). The aim of this study was to analyze the distribution of TBR values in ADHD patients and validate the presence of a high-TBR cluster using objective metrics. Methods The TBR was extracted from eyes-open resting state EEG recordings of 363 ADHD patients, aged 5-21 years. The TBR distribution was estimated with three Bayesian Gaussian Mixture Models (BGMMs) with one, two, and three components, respectively. The pairwise comparison of BGMMs was carried out with deviance tests to identify the number of components that best represented the data. Results The two-component BGMM modeled the TBR values significantly better than the one-component BGMM (p-value = 0.005). No significant difference was observed between the two-component and three-component BGMM (p-value = 0.850). Conclusion These results suggest that there exist indeed two TBR clusters within the ADHD population. Significance This work offers a global framework to understanding values found in the literature and suggest guidelines on how to compute theta-beta ratio values. Moreover, using objective data-driven method we confirm the existence of a high theta-beta ratio cluster.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Clinical Neurophysiology","grobid_abstract_attachment_id":97384877},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113918/Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder","translated_internal_url":"","created_at":"2023-01-16T12:09:15.554-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384877,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384877/thumbnails/1.jpg","file_name":"TBR_Distribution_Analysis_in_ADHD_patients.pdf","download_url":"https://www.academia.edu/attachments/97384877/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Is_there_a_cluster_of_high_theta_beta_ra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384877/TBR_Distribution_Analysis_in_ADHD_patients-libre.pdf?1673900666=\u0026response-content-disposition=attachment%3B+filename%3DIs_there_a_cluster_of_high_theta_beta_ra.pdf\u0026Expires=1732398719\u0026Signature=DT0BSR855aE8EDWOLkUraYefg~vOhjrNg9dVW3rMlSV6h5nzms1w0Jt0fsdJ6WyhgtPHtjhcRvsufNxA6t-PbtxKfgNoswGQjlT8jdSc2VYLgSLGkQvj~Dk2Be96VgtDuoT2I1ZmLf6yWklJp-wxK~ULiIF1oZS3MTOhuE1lWaVp43DVBsF49ePFAxJQBb3WFK1pwZi5KN7RmPcKMJbpKe9Y-MeEOa4walbMvsHEWgZar8ymmW-usdlRIDRebOe-0GBMNGcp~tamRf88~fTsW1M8tEWaOdws9zspuVyz33Np-925~g4G9kg51UR7ol2lAPEZIXGucMj0PsswYPiEQw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Is_there_a_cluster_of_high_theta_beta_ratio_patients_in_attention_deficit_hyperactivity_disorder","translated_slug":"","page_count":39,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384877,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384877/thumbnails/1.jpg","file_name":"TBR_Distribution_Analysis_in_ADHD_patients.pdf","download_url":"https://www.academia.edu/attachments/97384877/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Is_there_a_cluster_of_high_theta_beta_ra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384877/TBR_Distribution_Analysis_in_ADHD_patients-libre.pdf?1673900666=\u0026response-content-disposition=attachment%3B+filename%3DIs_there_a_cluster_of_high_theta_beta_ra.pdf\u0026Expires=1732398719\u0026Signature=DT0BSR855aE8EDWOLkUraYefg~vOhjrNg9dVW3rMlSV6h5nzms1w0Jt0fsdJ6WyhgtPHtjhcRvsufNxA6t-PbtxKfgNoswGQjlT8jdSc2VYLgSLGkQvj~Dk2Be96VgtDuoT2I1ZmLf6yWklJp-wxK~ULiIF1oZS3MTOhuE1lWaVp43DVBsF49ePFAxJQBb3WFK1pwZi5KN7RmPcKMJbpKe9Y-MeEOa4walbMvsHEWgZar8ymmW-usdlRIDRebOe-0GBMNGcp~tamRf88~fTsW1M8tEWaOdws9zspuVyz33Np-925~g4G9kg51UR7ol2lAPEZIXGucMj0PsswYPiEQw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":300,"name":"Mathematics","url":"https://www.academia.edu/Documents/in/Mathematics"},{"id":4732,"name":"ADHD","url":"https://www.academia.edu/Documents/in/ADHD"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":37937,"name":"Clusters","url":"https://www.academia.edu/Documents/in/Clusters"},{"id":263020,"name":"Clinical Neurophysiology","url":"https://www.academia.edu/Documents/in/Clinical_Neurophysiology"},{"id":2630747,"name":"Beta Distribution","url":"https://www.academia.edu/Documents/in/Beta_Distribution"},{"id":2754641,"name":"Attention deficit hyperactivity disorder","url":"https://www.academia.edu/Documents/in/Attention_deficit_hyperactivity_disorder-1"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences"},{"id":3763225,"name":"Medical and Health Sciences","url":"https://www.academia.edu/Documents/in/Medical_and_Health_Sciences"}],"urls":[{"id":28116173,"url":"https://api.elsevier.com/content/article/PII:S1388245719307485?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113917"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113917/Disruption_of_large_scale_electrophysiological_networks_in_stroke_patients_with_visuospatial_neglect"><img alt="Research paper thumbnail of Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect" class="work-thumbnail" src="https://attachments.academia-assets.com/97384870/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113917/Disruption_of_large_scale_electrophysiological_networks_in_stroke_patients_with_visuospatial_neglect">Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, wh...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, which is characterized by a breakdown of awareness for the contralesional hemispace. Recent studies with functional MRI (fMRI) suggest that hemineglect patients display abnormalintra-andinter-hemisphericfunctional connectivity. However, since stroke is a vascular disorder and fMRI signals remain sensitive to non-neuronal (i.e. vascular) coupling, more direct demonstrations of neural network dysfunction in hemispatial neglect are warranted. Here, we utilize electroencephalogram (EEG) source imaging to uncover differences in resting-state network organization between patients with right-hemispheric stroke (N = 15) and age-matched, healthy controls (N = 27), and determine the relationship between hemineglect symptoms and brain network organization. We estimatedintra-andinter-regional differences in cortical communication, by calculating the spectral power and amplitude envelope correlations (...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="283a44003e3c21c32fd5f7b262ff64f3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384870,"asset_id":95113917,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384870/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113917"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113917"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113917; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113917]").text(description); $(".js-view-count[data-work-id=95113917]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113917; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113917']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113917, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "283a44003e3c21c32fd5f7b262ff64f3" } } $('.js-work-strip[data-work-id=95113917]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113917,"title":"Disruption of large-scale electrophysiological networks in stroke patients with visuospatial neglect","translated_title":"","metadata":{"abstract":"Stroke frequently produces attentional dysfunctions including symptoms of hemispatial neglect, which is characterized by a breakdown of awareness for the contralesional hemispace. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113916"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113916/Consensus_on_the_reporting_and_experimental_design_of_clinical_and_cognitive_behavioural_neurofeedback_studies_CRED_nf_checklist_"><img alt="Research paper thumbnail of Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)" class="work-thumbnail" src="https://attachments.academia-assets.com/97384962/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113916/Consensus_on_the_reporting_and_experimental_design_of_clinical_and_cognitive_behavioural_neurofeedback_studies_CRED_nf_checklist_">Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://unige.academia.edu/TomasRos">Tomas Ros</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RobertThibault5">Robert Thibault</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This checklist is intended to encourage robust experimental design and clear reporting for clinic...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This checklist is intended to encourage robust experimental design and clear reporting for clinical and cognitive-behavioural neurofeedback experiments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="87b480e55f6b82d611f4b7ec9265e81a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384962,"asset_id":95113916,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384962/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113916"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113916"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113916; 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LRTCs constitute supporting evidence that the brain operates near criticality, a state where neuronal activities are balanced between order and randomness. Here, healthy adults used closed-loop brain training (neurofeedback, NFB) to reduce the amplitude of alpha oscillations, producing a significant increase in spontaneous LRTCs post-training. This effect was reproduced in patients with post-traumatic stress disorder, where abnormally random dynamics were reversed by NFB, correlating with significant improvements in hyperarousal. Notably, regions manifesting abnormally low LRTCs (i.e., excessive randomness) normalized toward healthy population levels, consistent with theoretical predictions about selforganized criticality. Hence, when exposed to appropriate training, spontaneous cortical activity reveals a residual capacity for \"self-tuning\" its own temporal complexity, despite manifesting the abnormal dynamics seen in individuals with psychiatric disorder. Lastly, we observed an inverse-U relationship between strength of LRTC and oscillation amplitude, suggesting a breakdown of long-range dependence at high/low synchronization extremes, in line with recent computational models. Together, our findings offer a broader mechanistic framework for motivating research and clinical applications of NFB, encompassing disorders with perturbed LRTCs.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"Cerebral 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113911"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113911/Theta_beta_neurofeedback_in_children_with_ADHD_Feasibility_of_a_short_term_setting_and_plasticity_effects"><img alt="Research paper thumbnail of Theta/beta neurofeedback in children with ADHD: Feasibility of a short-term setting and plasticity effects" class="work-thumbnail" src="https://attachments.academia-assets.com/97384925/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113911/Theta_beta_neurofeedback_in_children_with_ADHD_Feasibility_of_a_short_term_setting_and_plasticity_effects">Theta/beta neurofeedback in children with ADHD: Feasibility of a short-term setting and plasticity effects</a></div><div class="wp-workCard_item"><span>International Journal of Psychophysiology</span><span>, 2017</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6c5bf0c388d56df6e8f29312f2e27892" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384925,"asset_id":95113911,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384925/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113911"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113911"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113911; 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More economic evaluation strategies are needed to test methodological optimizations and mechanisms of action. In healthy adults, neuroplastic effects have been demonstrated directly after a single session of NF training. The aim of our study was to test the feasibility of short-term theta/beta NF in children with ADHD and to learn more about the mechanisms underlying this protocol. Children with ADHD conducted two theta/beta NF sessions. In the first half of the sessions, three NF trials (puzzles as feedback animations) were run with pre-and post-reading and picture search tasks. A significant decrease of the theta/beta ratio (TBR), driven by a decrease of theta activity, was found in the NF trials of the second session demonstrating rapid and successful neuroregulation by children with ADHD. For pre-post comparisons, children were split into good vs. poor regulator groups based on the slope of their TBR over the NF trials. For the reading task, significant EEG changes were seen for the theta band from pre-to post-NF depending on individual neuroregulation ability. This neuroplastic effect was not restricted to the feedback electrode Cz, but appeared as a generalized pattern, maximal over midline and right-hemisphere electrodes. Our findings indicate that short-term NF may be a valuable and economical tool to study the neuroplastic mechanisms of targeted NF protocols in clinical disorders, such as theta/beta training in children with ADHD.","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"International Journal of 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113910"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113910/Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder"><img alt="Research paper thumbnail of Alpha oscillation neurofeedback modulates amygdala complex connectivity and arousal in posttraumatic stress disorder" class="work-thumbnail" src="https://attachments.academia-assets.com/97384873/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113910/Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder">Alpha oscillation neurofeedback modulates amygdala complex connectivity and arousal in posttraumatic stress disorder</a></div><div class="wp-workCard_item"><span>NeuroImage: Clinical</span><span>, 2016</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e745a9e011c50b9bacbb49c42a64e861" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384873,"asset_id":95113910,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384873/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action 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Critically, the amygdala is thought to be one of the central brain regions mediating PTSD symptoms. In the current study, we compare directly patterns of amygdala complex connectivity using fMRI, before and after EEG neurofeedback, in order to observe subcortical mechanisms associated with behavioural and alpha oscillatory changes among patients. Method: We examined basolateral (BLA), centromedial (CMA), and superficial (SFA) amygdala complex restingstate functional connectivity using a seed-based approach via SPM Anatomy Toolbox. Amygdala complex connectivity was measured in twenty-one individuals with PTSD, before and after a 30-minute session of EEG neurofeedback targeting alpha desynchronization. Results: EEG neurofeedback was associated with a shift in amygdala complex connectivity from areas implicated in defensive, emotional, and fear processing/memory retrieval (left BLA and left SFA to the periaqueductal gray, and left SFA to the left hippocampus) to prefrontal areas implicated in emotion regulation/modulation (right CMA to the medial prefrontal cortex). This shift in amygdala complex connectivity was associated with reduced arousal, greater resting alpha synchronization, and was negatively correlated to PTSD symptom severity. Conclusion: These findings have significant implications for developing targeted non-invasive treatment interventions for PTSD patients that utilize alpha oscillatory neurofeedback, showing evidence of neuronal reconfiguration between areas highly implicated in the disorder, in addition to acute symptom alleviation.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"NeuroImage: Clinical","grobid_abstract_attachment_id":97384873},"translated_abstract":null,"internal_url":"https://www.academia.edu/95113910/Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder","translated_internal_url":"","created_at":"2023-01-16T12:09:14.630-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":2715801,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97384873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384873/thumbnails/1.jpg","file_name":"pmc5030332.pdf","download_url":"https://www.academia.edu/attachments/97384873/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Alpha_oscillation_neurofeedback_modulate.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384873/pmc5030332-libre.pdf?1673900643=\u0026response-content-disposition=attachment%3B+filename%3DAlpha_oscillation_neurofeedback_modulate.pdf\u0026Expires=1732398719\u0026Signature=VGDAbShirbG2OUjMdkmdgwW6azgjSKrHq3lnCJSyDmxpLZ0vafxM52gPtx7hYJMbgsfx1kZiGkGSncYoEoCK8bOhA7vpAP-BB30sGzQZZyuxFMd1YGl0FeXprzkqDD66ueAhrhnBteEhVLaxvfEOfsNiSGHNazZsMNUCzk1mpS8KH9KqTjAtfIj56j6lYh3Nb80alGHyv~Nz5Q46PEX31p8LbN4v-rTItaTQ9tZNBFLDVRicsH-~m1v1P2xLVBwDztO3SHmVKoYgps551Yn6Arb~llAz1VZ1saBM2mgQTJWo5Tu~AW6IrUV-pP4GSPRYHlfeC3Ih-1WJykjCFOB4Cg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Alpha_oscillation_neurofeedback_modulates_amygdala_complex_connectivity_and_arousal_in_posttraumatic_stress_disorder","translated_slug":"","page_count":11,"language":"en","content_type":"Work","owner":{"id":2715801,"first_name":"Tomas","middle_initials":null,"last_name":"Ros","page_name":"TomasRos","domain_name":"unige","created_at":"2012-11-01T23:53:10.080-07:00","display_name":"Tomas Ros","url":"https://unige.academia.edu/TomasRos"},"attachments":[{"id":97384873,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97384873/thumbnails/1.jpg","file_name":"pmc5030332.pdf","download_url":"https://www.academia.edu/attachments/97384873/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Alpha_oscillation_neurofeedback_modulate.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97384873/pmc5030332-libre.pdf?1673900643=\u0026response-content-disposition=attachment%3B+filename%3DAlpha_oscillation_neurofeedback_modulate.pdf\u0026Expires=1732398719\u0026Signature=VGDAbShirbG2OUjMdkmdgwW6azgjSKrHq3lnCJSyDmxpLZ0vafxM52gPtx7hYJMbgsfx1kZiGkGSncYoEoCK8bOhA7vpAP-BB30sGzQZZyuxFMd1YGl0FeXprzkqDD66ueAhrhnBteEhVLaxvfEOfsNiSGHNazZsMNUCzk1mpS8KH9KqTjAtfIj56j6lYh3Nb80alGHyv~Nz5Q46PEX31p8LbN4v-rTItaTQ9tZNBFLDVRicsH-~m1v1P2xLVBwDztO3SHmVKoYgps551Yn6Arb~llAz1VZ1saBM2mgQTJWo5Tu~AW6IrUV-pP4GSPRYHlfeC3Ih-1WJykjCFOB4Cg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":3718,"name":"Posttraumatic Stress Disorder (PTSD)","url":"https://www.academia.edu/Documents/in/Posttraumatic_Stress_Disorder_PTSD_"},{"id":9749,"name":"Neurofeedback","url":"https://www.academia.edu/Documents/in/Neurofeedback"},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":42695,"name":"Post traumatic stress disorder","url":"https://www.academia.edu/Documents/in/Post_traumatic_stress_disorder"},{"id":76071,"name":"EEG Signal Processing","url":"https://www.academia.edu/Documents/in/EEG_Signal_Processing"},{"id":83083,"name":"EEG Biofeedback","url":"https://www.academia.edu/Documents/in/EEG_Biofeedback"},{"id":159962,"name":"Amygdala","url":"https://www.academia.edu/Documents/in/Amygdala"},{"id":306766,"name":"Arousal","url":"https://www.academia.edu/Documents/in/Arousal"},{"id":1251233,"name":"Resting State Functional Connectivity","url":"https://www.academia.edu/Documents/in/Resting_State_Functional_Connectivity"}],"urls":[{"id":28116168,"url":"https://api.elsevier.com/content/article/PII:S2213158216301267?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="95113909"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/95113909/Tuning_pathological_brain_oscillations_with_neurofeedback_a_systems_neuroscience_framework"><img alt="Research paper thumbnail of Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework" class="work-thumbnail" src="https://attachments.academia-assets.com/97384895/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113909/Tuning_pathological_brain_oscillations_with_neurofeedback_a_systems_neuroscience_framework">Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework</a></div><div class="wp-workCard_item"><span>Frontiers in human neuroscience</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a &quot;black box&quot;. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from &quot;bottom-up&quot; mechanisms of neural synchronization, followed by &quot;top-do...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d380541d0013ecc9e13ecbe4736feef4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384895,"asset_id":95113909,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384895/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTExOSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113909"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95113909"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95113909; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95113909]").text(description); $(".js-view-count[data-work-id=95113909]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95113909; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95113909']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 95113909, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d380541d0013ecc9e13ecbe4736feef4" } } $('.js-work-strip[data-work-id=95113909]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95113909,"title":"Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework","translated_title":"","metadata":{"abstract":"Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a \u0026quot;black box\u0026quot;. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from \u0026quot;bottom-up\u0026quot; mechanisms of neural synchronization, followed by \u0026quot;top-do...","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Frontiers in human neuroscience"},"translated_abstract":"Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a \u0026quot;black box\u0026quot;. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from \u0026quot;bottom-up\u0026quot; mechanisms of neural synchronization, followed by 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href="https://www.academia.edu/95113908/Beneficial_outcome_from_EEG_neurofeedback_on_creative_music_performance_attention_and_well_being_in_school_children"><img alt="Research paper thumbnail of Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children" class="work-thumbnail" src="https://attachments.academia-assets.com/97384880/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95113908/Beneficial_outcome_from_EEG_neurofeedback_on_creative_music_performance_attention_and_well_being_in_school_children">Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children</a></div><div class="wp-workCard_item"><span>Biological Psychology</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d8f457b659ca0c138c31c82a139ed61a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97384880,"asset_id":95113908,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97384880/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95113908"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div 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{"id":95113908,"title":"Beneficial outcome from EEG-neurofeedback on creative music performance, attention and well-being in school children","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"We earlier reported benefits for creativity in rehearsed music performance from alpha/theta (A/T) neurofeedback in conservatoire studies (Egner \u0026 Gruzelier, 2003) which were not found with SMR, Beta1, mental skills, aerobics or Alexander training, or in standby controls. Here the focus was the impact on novice music performance. A/T and SMR training were compared in 11-year old school children along with non-intervention controls with outcome measures not only of rehearsed music performance but also of creative improvisation, as well as sustained attention and phenomenology. Evidence of effective learning in the school setting was obtained for A/T and SMR/beta2 ratios. Preferential benefits from A/T for rehearsed music performance were replicated in children for technique and communication ratings. Benefits extended to creativity and communication ratings for creative improvisation which were shared with SMR training, disclosing an influence of SMR on unrehearsed music performance at a novice level with its greater cognitive demands. In a first application of A/T for improving sustained attention (TOVA), it was found to be more successful than SMR training, with a notable reduction in commission errors in the children, 15/33 of whom had attention indices in the ADHD range. Phenomenological reports were in favour of neurofeedback and well-being benefits. Implementing neurofeedback in the daily school setting proved feasible and holds pedagogic promise.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Biological 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neurofeedback" class="work-thumbnail" src="https://attachments.academia-assets.com/34869654/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/8487695/Optimising_perceptuo_motor_performance_and_learning_with_EEG_neurofeedback">Optimising perceptuo-motor performance and learning with EEG neurofeedback</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The neurobiological functions of an organism serve to assist its adaptation to behaviourally chal...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The neurobiological functions of an organism serve to assist its adaptation to behaviourally challenging environments, which commonly involves the learning and refinement of perceptuo-motor skills. The intensity and time scale at which this occurs is critical towards survival. Previous work has observed that the neurochemical and neuroelectric (EEG) operation of specific functional systems is upregulated during so-called ‘activated’ states of behaviour. Thus it has recently been shown that artificial (i.e. exogenous) stimulation of such systems via pharmacological or electrical means can successfully modulate as well as enhance learning and associated behavioural performance. We hypothesized that neurofeedback, which is implemented through non-invasive volitional control of electrocortical rhythms (EEG), offers an alternate and natural (i.e. endogenous) way to modulate and thereby stimulate analogous systems. Study 1 shows that neurofeedback is a viable and beneficial method for improving the acquisition and performance of perceptuo-motor skills in trainee microsurgeons, when compared to a wait-list control group. With the aid of transcranial magnetic stimulation (TMS), Study 2 demonstrates for the first time that 30 minutes of a single neurofeedback session directly leads to a robust and correlated change in corticomotor plasticity which is usually associated with learning or observed after exogenous stimulation. Lastly, Study 3 investigates the short-term modulation of one session of ‘excitatory’ neurofeedback on the subsequent performance of a serial reaction-time task (SRTT), an experimental paradigm widely used as a model for procedural perceptuo-motor learning. 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These relationships significantly differed from a sham‐feedback group, who received identical feedback stimuli and levels of reward. Specifically, volitional reduction of the human alpha rhythm altered coupling within the salience and default-mode networks, previously implicated in states of attention and mind-wandering. Hence, our findings demonstrate that self-induced shifts in brain state are capable of influencing the future incidence of task-unrelated thoughts; thereby causally impacting the contents of consciousness. To our knowledge, the results provide one of the clearest demonstrations that waking experience may be trained endogenously in a direction that is more attentive and internally “quiet”, as is traditionally reported by meditative disciplines. It lends further credence to a causal, bi-directional relationship between the mind and brain, insofar targeting the former may lead to changes in the plasticity of the latter, and vice versa. This also opens the possibility of utilising brain-based feedback to inform  on the real-time neural signatures of particular contemplative/meditative practices, facilitating their acquisition.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bd48bd2cbac55d9e75b115db521d445f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":34873411,"asset_id":8492576,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/34873411/download_file?st=MTczMjM5NTEyMCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="8492576"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="8492576"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8492576; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8492576]").text(description); $(".js-view-count[data-work-id=8492576]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8492576; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8492576']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8492576, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "bd48bd2cbac55d9e75b115db521d445f" } } $('.js-work-strip[data-work-id=8492576]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8492576,"title":"Mind over chatter: regulating mind-wandering with neurofeedback","translated_title":"","metadata":{"abstract":"We present EEG and fMRI neuroimaging evidence that self-regulation of human cortical activity, by means of one sitting of neurofeedback, can induce neurobehavioural effects that outlast the training session, predicting changes in mind‐wandering during a subsequent sensory attention task. 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