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Universidad Complutense de Madrid | Basic Psychology I - Academia.edu

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var $lessLink = $(".js-mobile-nav-collapse-trigger"); var $section = $('.js-mobile-nav-expand-section'); $moreLink.click(function(ev){ ev.preventDefault(); $moreLink.hide(); $lessLink.show(); $section.collapse('show'); }); $lessLink.click(function(ev){ ev.preventDefault(); $moreLink.show(); $lessLink.hide(); $section.collapse('hide'); }); })() if ($a.is_logged_in() || false) { new Aedu.NavigationController({ el: '.js-main-nav', showHighlightedNotification: false }); } else { $(".js-header-login-url").attr("href", $a.loginUrlWithRedirect()); } Aedu.autocompleteSearch = new AutocompleteSearch({el: '.js-SiteSearch-form'});</script></div></div> <div id='site' class='fixed'> <div id="content" class="clearfix"> <script>document.addEventListener('DOMContentLoaded', function(){ var $dismissible = $(".dismissible_banner"); $dismissible.click(function(ev) { $dismissible.hide(); }); });</script> <div class="DesignSystem" style="margin-top:-40px"><div class="PageHeader"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><div class="u-floatLeft u-fs24 u-tcGrayDarkest"><span class="PageHeader-title u-m0x u-fw700 u-mr5x u-pr5x u-borderColorGrayLight u-borderRight1"><a href="https://ucm.academia.edu/"><span class="u-linkUnstyled u-tcGrayDarkest">Universidad Complutense de Madrid</span></a></span><h1 class="u-m0x u-fw300 u-fs24 u-displayInline">Basic Psychology I</h1></div><div class="u-floatRight u-mt1x"></div></div></div></div></div><div class="TabbedNavigation"><div class="container"><div class="row"><div class="col-xs-12 clearfix"><ul class="nav u-m0x u-p0x list-inline"><li class="u-floatLeft u-pr5x u-mr5x u-borderColorGrayLight u-borderRight1"><a href="https://ucm.academia.edu/"><span><i class="fa fa-arrow-left"></i>&nbsp;&nbsp;All Departments</span></a></li><li class="u-floatLeft active"><a href="https://ucm.academia.edu/Departments/Basic_Psychology_I/Documents">83 Papers</a></li><li class="u-floatLeft"><a href="https://ucm.academia.edu/Departments/Basic_Psychology_I">4 Researchers</a></li></ul></div></div></div></div><div class="container"><div class="row"><div class="col-xs-12"><div class="u-displayFlex"><div class="u-flexGrow1"><div class="u-ph0x"><div class="works"><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_897048 coauthored" data-work_id="897048" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/897048/_Lateral_Orbitofrontal_Cortex_Involvement_in_Initial_Negative_Aesthetic_Impression_Formation">“Lateral Orbitofrontal Cortex Involvement in Initial Negative Aesthetic Impression Formation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Abstract It is well established that aesthetic appreciation is related with activity in several different brain regions. The identification of the neural correlates of beauty or liking ratings has been the focus of most prior studies.... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_897048" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Abstract<br />It is well <br />established that aesthetic appreciation is related with activity in several different brain regions. The identification of the neural correlates of beauty or liking ratings has been the focus of most prior studies. Not much attention has been directed towards the fact that humans are surrounded by objects that lead them to experience aesthetic indifference or leave them with a<br />negative aesthetic impression. Here we explore the neural substrate of such experiences. Given the neuroimaging techniques that have been used, little is known about the temporal features of such brain activity. By means of magnetoencephalography we registered the moment at which brain activity differed while participants viewed images they considered to be beautiful or not. Results show that the first differential activity appears between 300 and 400 ms after stimulus onset. During this period activity in right lateral orbitofrontal cortex (lOFC) was greater while participants rated<br />visual stimuli as not beautiful than when they rated them as beautiful. We argue that this activity is associated with an initial negative aesthetic impression formation, driven by the relative hedonic value of stimuli regarded as not beautiful. Additionally, our results contribute to the understanding of the nature of the functional roles of the lOFC.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/897048" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d3658241c8e4ab0e134d6b11828e066c" rel="nofollow" data-download="{&quot;attachment_id&quot;:18454690,&quot;asset_id&quot;:897048,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/18454690/download_file?st=MTczMzkyMTA5Nyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="4031051" href="https://evocog.academia.edu/EnricMunar">Enric Munar</a><script data-card-contents-for-user="4031051" type="text/json">{"id":4031051,"first_name":"Enric","last_name":"Munar","domain_name":"evocog","page_name":"EnricMunar","display_name":"Enric Munar","profile_url":"https://evocog.academia.edu/EnricMunar","photo":"https://0.academia-photos.com/4031051/1535200/1884094/s65_enric.munar.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text">&nbsp;and&nbsp;<span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-897048">+3</span><div class="hidden js-additional-users-897048"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://uib-es.academia.edu/JaumeRosselloMir">Jaume Rossello-Mir</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://uib-es.academia.edu/AlbertFlexas">Albert Flexas</a></span></div><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-897048'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-897048').html(); 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container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_897048 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="897048"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 897048; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=897048]").text(description); $(".js-view-count-work_897048").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_897048").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="897048"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">5</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="808" href="https://www.academia.edu/Documents/in/Aesthetics">Aesthetics</a>,&nbsp;<script data-card-contents-for-ri="808" type="text/json">{"id":808,"name":"Aesthetics","url":"https://www.academia.edu/Documents/in/Aesthetics","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5359" href="https://www.academia.edu/Documents/in/Visual_perception">Visual perception</a>,&nbsp;<script data-card-contents-for-ri="5359" type="text/json">{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9088" href="https://www.academia.edu/Documents/in/Affective_Neuroscience">Affective Neuroscience</a>,&nbsp;<script data-card-contents-for-ri="9088" type="text/json">{"id":9088,"name":"Affective Neuroscience","url":"https://www.academia.edu/Documents/in/Affective_Neuroscience","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="21498" href="https://www.academia.edu/Documents/in/Affect_Emotion">Affect/Emotion</a><script data-card-contents-for-ri="21498" type="text/json">{"id":21498,"name":"Affect/Emotion","url":"https://www.academia.edu/Documents/in/Affect_Emotion","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=897048]'), work: {"id":897048,"title":"“Lateral Orbitofrontal Cortex Involvement in Initial Negative Aesthetic Impression Formation","created_at":"2012-05-28T18:16:52.856-07:00","owner_id":1145567,"url":"https://www.academia.edu/897048/_Lateral_Orbitofrontal_Cortex_Involvement_in_Initial_Negative_Aesthetic_Impression_Formation","slug":"_Lateral_Orbitofrontal_Cortex_Involvement_in_Initial_Negative_Aesthetic_Impression_Formation","dom_id":"work_897048","summary":"Abstract\nIt is well \nestablished that aesthetic appreciation is related with activity in several different brain regions. The identification of the neural correlates of beauty or liking ratings has been the focus of most prior studies. Not much attention has been directed towards the fact that humans are surrounded by objects that lead them to experience aesthetic indifference or leave them with a\nnegative aesthetic impression. Here we explore the neural substrate of such experiences. Given the neuroimaging techniques that have been used, little is known about the temporal features of such brain activity. By means of magnetoencephalography we registered the moment at which brain activity differed while participants viewed images they considered to be beautiful or not. Results show that the first differential activity appears between 300 and 400 ms after stimulus onset. During this period activity in right lateral orbitofrontal cortex (lOFC) was greater while participants rated\nvisual stimuli as not beautiful than when they rated them as beautiful. We argue that this activity is associated with an initial negative aesthetic impression formation, driven by the relative hedonic value of stimuli regarded as not beautiful. Additionally, our results contribute to the understanding of the nature of the functional roles of the lOFC.","publication":null,"publication_with_fallback":"PLOS ONE","downloadable_attachments":[{"id":18454690,"asset_id":897048,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://a.academia-assets.com/images/blank-paper.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/18454690/lOFC_negative_aesthetic_impression.zip?1339755147=\u0026response-content-disposition=attachment%3B+filename%3DLateral_Orbitofrontal_Cortex_Involvemen.zip\u0026Expires=1733924697\u0026Signature=ZkhUZKtEysIvtVoNhhCClG1ZR8zaMOh-Kcw0OxJWzXsVnmGRUGEcq6gGmujPEQDyZs6AbS3GTZf3DooBNb34aE2RfODgiPEDOmk4vmpsITm1RQmC0nCGzUjF2U3hSUSIscC9a1St-CPflrwNszaBwcRsA4ouAt8BJHn99js7onrVGf-rYpVOgeM87P5ICpoLp7TJmEsNOV2RMkkrpOGIDn0-29vNByx5jQFRcTLL~mS3ztZn0w-xe2oBt~6M5KEhb9WtgVcTOGo0JUPm107CVA3LX85CHbu5f7sqXMnr5X2G74AmMKtwS~jkkOFknu4EjQMEqksvEQVUkwb~qlisNA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/18454690/download_file?st=MTczMzkyMTA5Nyw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":null}],"downloadable_attachments_with_full_thumbnails":[],"has_pdf":false,"has_fulltext":false,"page_count":null,"ordered_authors":[{"id":4031051,"first_name":"Enric","last_name":"Munar","domain_name":"evocog","page_name":"EnricMunar","display_name":"Enric Munar","profile_url":"https://evocog.academia.edu/EnricMunar","photo":"https://0.academia-photos.com/4031051/1535200/1884094/s65_enric.munar.jpg"},{"id":1145567,"first_name":"Jaume","last_name":"Rossello-Mir","domain_name":"uib-es","page_name":"JaumeRosselloMir","display_name":"Jaume Rossello-Mir","profile_url":"https://uib-es.academia.edu/JaumeRosselloMir","photo":"https://0.academia-photos.com/1145567/414401/10995885/s65_jaume.rossell_.jpg"},{"id":2754161,"first_name":"Albert","last_name":"Flexas","domain_name":"uib-es","page_name":"AlbertFlexas","display_name":"Albert Flexas","profile_url":"https://uib-es.academia.edu/AlbertFlexas","photo":"https://0.academia-photos.com/2754161/893901/14447012/s65_albert.flexas.jpg"},{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":808,"name":"Aesthetics","url":"https://www.academia.edu/Documents/in/Aesthetics","nofollow":false},{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception","nofollow":false},{"id":9088,"name":"Affective Neuroscience","url":"https://www.academia.edu/Documents/in/Affective_Neuroscience","nofollow":false},{"id":21498,"name":"Affect/Emotion","url":"https://www.academia.edu/Documents/in/Affect_Emotion","nofollow":false},{"id":201456,"name":"Orbitofrontal cortex","url":"https://www.academia.edu/Documents/in/Orbitofrontal_cortex"}],"publication_year":null,"publication_year_with_fallback":2012,"paper_rank":null,"all_time_views":26,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709506" data-work_id="5709506" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709506/Moratti2014">Moratti2014</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">To perceive a coherent environment, incomplete or overlapping visual forms must be integrated into meaningful coherent percepts, a process referred to as &quot;Gestalt&quot; formation or perceptual completion. Increasing evidence suggests that this... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709506" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">To perceive a coherent environment, incomplete or overlapping visual forms must be integrated into meaningful coherent percepts, a process referred to as &quot;Gestalt&quot; formation or perceptual completion. Increasing evidence suggests that this process engages oscillatory neuronal activity in a distributed neuronal assembly. A separate line of evidence suggests that Gestalt formation requires top-down feedback from higher order brain regions to early visual cortex. Here we combine magnetoencephalography (MEG) and effective connectivity analysis in the frequency domain to specifically address the effective coupling between sources of oscillatory brain activity during Gestalt formation. We demonstrate that perceptual completion of two-tone &quot;Mooney&quot; faces induces increased gamma frequency band power (55-71 Hz) in human early visual, fusiform and parietal cortices. Within this distributed neuronal assembly fusiform and parietal gamma oscillators are coupled by forward and backward connectivity during Mooney face perception, indicating reciprocal influences of gamma activity between these higher order visual brain regions. Critically, gamma band oscillations in early visual cortex are modulated by top-down feedback connectivity from both fusiform and parietal cortices. Thus, we provide a mechanistic account of Gestalt perception in which gamma oscillations in feature sensitive and spatial attention-relevant brain regions reciprocally drive one another and convey global stimulus aspects to local processing units at low levels of the sensory hierarchy by top-down feedback. Our data therefore support the notion of inverse hierarchical processing within the visual system underlying awareness of coherent percepts.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709506" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="35beab4b5a0999cb989a3de7b529bec5" rel="nofollow" data-download="{&quot;attachment_id&quot;:32752864,&quot;asset_id&quot;:5709506,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32752864/download_file?st=MTczMzkyMTA5Nyw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709506 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709506"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709506, container: ".js-paper-rank-work_5709506", }); });</script></li><li class="js-percentile-work_5709506 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5709506; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5709506"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5709506 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5709506"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5709506; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5709506]").text(description); $(".js-view-count-work_5709506").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709506").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709506"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">4</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="236" href="https://www.academia.edu/Documents/in/Cognitive_Psychology">Cognitive Psychology</a>,&nbsp;<script data-card-contents-for-ri="236" type="text/json">{"id":236,"name":"Cognitive Psychology","url":"https://www.academia.edu/Documents/in/Cognitive_Psychology","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="254" href="https://www.academia.edu/Documents/in/Emotion">Emotion</a>,&nbsp;<script data-card-contents-for-ri="254" type="text/json">{"id":254,"name":"Emotion","url":"https://www.academia.edu/Documents/in/Emotion","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10402" href="https://www.academia.edu/Documents/in/EEG">EEG</a>,&nbsp;<script data-card-contents-for-ri="10402" type="text/json">{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="82957" href="https://www.academia.edu/Documents/in/MEG">MEG</a><script data-card-contents-for-ri="82957" type="text/json">{"id":82957,"name":"MEG","url":"https://www.academia.edu/Documents/in/MEG","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709506]'), work: {"id":5709506,"title":"Moratti2014","created_at":"2014-01-13T23:30:59.677-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709506/Moratti2014","slug":"Moratti2014","dom_id":"work_5709506","summary":"To perceive a coherent environment, incomplete or overlapping visual forms must be integrated into meaningful coherent percepts, a process referred to as \"Gestalt\" formation or perceptual completion. Increasing evidence suggests that this process engages oscillatory neuronal activity in a distributed neuronal assembly. A separate line of evidence suggests that Gestalt formation requires top-down feedback from higher order brain regions to early visual cortex. Here we combine magnetoencephalography (MEG) and effective connectivity analysis in the frequency domain to specifically address the effective coupling between sources of oscillatory brain activity during Gestalt formation. We demonstrate that perceptual completion of two-tone \"Mooney\" faces induces increased gamma frequency band power (55-71 Hz) in human early visual, fusiform and parietal cortices. Within this distributed neuronal assembly fusiform and parietal gamma oscillators are coupled by forward and backward connectivity during Mooney face perception, indicating reciprocal influences of gamma activity between these higher order visual brain regions. Critically, gamma band oscillations in early visual cortex are modulated by top-down feedback connectivity from both fusiform and parietal cortices. Thus, we provide a mechanistic account of Gestalt perception in which gamma oscillations in feature sensitive and spatial attention-relevant brain regions reciprocally drive one another and convey global stimulus aspects to local processing units at low levels of the sensory hierarchy by top-down feedback. Our data therefore support the notion of inverse hierarchical processing within the visual system underlying awareness of coherent percepts.","publication":null,"publication_with_fallback":null,"downloadable_attachments":[{"id":32752864,"asset_id":5709506,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/32752864/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/32752864/Moratti2014-libre.pdf?1391621799=\u0026response-content-disposition=attachment%3B+filename%3DMoratti2014.pdf\u0026Expires=1733924697\u0026Signature=aAYQ7TbYHL5jFejFIMVdLx9urPa8uQoXapk18b7ALqp948vTMx~-PYPEiN-RH6vlHBR22GT5AZ43IeM0jgKQyDt2WZ8t6S-VGXdFo7I7Dsb5f39qZZRpFBikaMTZMySGYBEiSq1Ft3mPPvhTUBv9iPnMJdRXSFTH6f5VDBflDqlPiMoNTEai5ufdXsD7wXvZCpsSZ2ONde06k6-LsxTsw7-HV0MMkJn7U7~oSLGeJ-qFU7-OTHcujMoCkSxcd44L-twM9gjrwbIPurrAYi6KvTEeO4cB7AVH0Ik3nlnFP-ghyJx0bFV3aILp94TVHQun0dfwSn6p1y7bQIuPp7O5PA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/32752864/download_file?st=MTczMzkyMTA5Nyw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/32752864/mini_magick20190411-31430-zv6ozc.png?1555021954"}],"downloadable_attachments_with_full_thumbnails":[{"id":32752864,"asset_id":5709506,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/32752864/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/32752864/Moratti2014-libre.pdf?1391621799=\u0026response-content-disposition=attachment%3B+filename%3DMoratti2014.pdf\u0026Expires=1733924697\u0026Signature=aAYQ7TbYHL5jFejFIMVdLx9urPa8uQoXapk18b7ALqp948vTMx~-PYPEiN-RH6vlHBR22GT5AZ43IeM0jgKQyDt2WZ8t6S-VGXdFo7I7Dsb5f39qZZRpFBikaMTZMySGYBEiSq1Ft3mPPvhTUBv9iPnMJdRXSFTH6f5VDBflDqlPiMoNTEai5ufdXsD7wXvZCpsSZ2ONde06k6-LsxTsw7-HV0MMkJn7U7~oSLGeJ-qFU7-OTHcujMoCkSxcd44L-twM9gjrwbIPurrAYi6KvTEeO4cB7AVH0Ik3nlnFP-ghyJx0bFV3aILp94TVHQun0dfwSn6p1y7bQIuPp7O5PA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/32752864/download_file?st=MTczMzkyMTA5Nyw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/32752864/mini_magick20190411-31430-zv6ozc.png?1555021954"}],"has_pdf":true,"has_fulltext":true,"page_count":10,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":236,"name":"Cognitive Psychology","url":"https://www.academia.edu/Documents/in/Cognitive_Psychology","nofollow":false},{"id":254,"name":"Emotion","url":"https://www.academia.edu/Documents/in/Emotion","nofollow":false},{"id":10402,"name":"EEG","url":"https://www.academia.edu/Documents/in/EEG","nofollow":false},{"id":82957,"name":"MEG","url":"https://www.academia.edu/Documents/in/MEG","nofollow":false}],"publication_year":null,"publication_year_with_fallback":null,"paper_rank":null,"all_time_views":32,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709513" data-work_id="5709513" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709513/Early_modulation_of_visual_perception_by_emotional_arousal_Evidence_from_steady_state_visual_evoked_brain_potentials">Early modulation of visual perception by emotional arousal: Evidence from steady-state visual evoked brain potentials</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Allocation of processing resources to emotional picture stimuli was examined using steady-state visual evoked brain potentials (ssVEPs). Participants viewed a set of 60 colored affective pictures from the International Affective Picture... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709513" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Allocation of processing resources to emotional picture stimuli was examined using steady-state visual evoked brain potentials (ssVEPs). Participants viewed a set of 60 colored affective pictures from the International Affective Picture System, presented in a flickering mode at 10 Hz in order to elicit ssVEPs. Phase and amplitude of the 10-Hz ssVEP were examined for six picture categories: threat and mutilation (unpleasant), families and erotica (pleasant), and household objects and persons (neutral). Self-reported affective arousal and hedonic valence of the picture stimuli were assessed by means of subjective ratings. Viewing affectively arousing (unpleasant and pleasant) pictures was associated with enhanced ssVEP amplitude at parieto-occipital recording sites, as compared with neutral stimuli. Phase information suggested increased coactivation of right occipitotemporal and frontotemporal sources during processing of affectively arousing stimuli. These findings are consistent with reentrant modulation of early visual processing by distributed networks including subcortical and neocortical structures according to a stimulus&#39;s motivational relevance.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709513" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f9d2460921e86698c23a5735354528ae" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172295,&quot;asset_id&quot;:5709513,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172295/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709513 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709513"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709513, container: ".js-paper-rank-work_5709513", }); });</script></li><li class="js-percentile-work_5709513 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5709513; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_5709513"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_5709513 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="5709513"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5709513; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5709513]").text(description); $(".js-view-count-work_5709513").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709513").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709513"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">15</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="221" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>,&nbsp;<script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5359" href="https://www.academia.edu/Documents/in/Visual_perception">Visual perception</a>,&nbsp;<script data-card-contents-for-ri="5359" type="text/json">{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10904" href="https://www.academia.edu/Documents/in/Electroencephalography">Electroencephalography</a>,&nbsp;<script data-card-contents-for-ri="10904" type="text/json">{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="42162" href="https://www.academia.edu/Documents/in/Emotions">Emotions</a><script data-card-contents-for-ri="42162" type="text/json">{"id":42162,"name":"Emotions","url":"https://www.academia.edu/Documents/in/Emotions","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709513]'), work: {"id":5709513,"title":"Early modulation of visual perception by emotional arousal: Evidence from steady-state visual evoked brain potentials","created_at":"2014-01-13T23:31:39.919-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709513/Early_modulation_of_visual_perception_by_emotional_arousal_Evidence_from_steady_state_visual_evoked_brain_potentials","slug":"Early_modulation_of_visual_perception_by_emotional_arousal_Evidence_from_steady_state_visual_evoked_brain_potentials","dom_id":"work_5709513","summary":"Allocation of processing resources to emotional picture stimuli was examined using steady-state visual evoked brain potentials (ssVEPs). Participants viewed a set of 60 colored affective pictures from the International Affective Picture System, presented in a flickering mode at 10 Hz in order to elicit ssVEPs. Phase and amplitude of the 10-Hz ssVEP were examined for six picture categories: threat and mutilation (unpleasant), families and erotica (pleasant), and household objects and persons (neutral). Self-reported affective arousal and hedonic valence of the picture stimuli were assessed by means of subjective ratings. Viewing affectively arousing (unpleasant and pleasant) pictures was associated with enhanced ssVEP amplitude at parieto-occipital recording sites, as compared with neutral stimuli. Phase information suggested increased coactivation of right occipitotemporal and frontotemporal sources during processing of affectively arousing stimuli. These findings are consistent with reentrant modulation of early visual processing by distributed networks including subcortical and neocortical structures according to a stimulus's motivational relevance.","publication":"Cognitive Affective \u0026 Behavioral Neuroscience","publication_with_fallback":"Cognitive Affective \u0026 Behavioral Neuroscience","downloadable_attachments":[{"id":49172295,"asset_id":5709513,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172295/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172295/cabn.3.3.19520160927-9630-d2zot9-libre.pdf?1475041407=\u0026response-content-disposition=attachment%3B+filename%3DEarly_modulation_of_visual_perception_by.pdf\u0026Expires=1733924697\u0026Signature=aT~~fTgMBid7iopHzxTya8mN0mjh4cAVG43JvPjHQNE5Jrjsg4uGXluFVqt0LeYaluB9JgxF8wInaLA~ZkQXpKOW5G6ZQflUccYOo~OOvbv2v9mA4dGPmMl3IKnvbxvEhs5DGGVH6o9C8uJGQUo2g0xOXkdaKvcIC-Bni9F2467h8Z89qHuE~aP8uEgJMRwXkXao4v1a4RcdxVFzycMFyuwZUs~c0YV3dsX49olc3kH7M4w2tSrP2y0IjpsLoBHGTAkYWjFOxE8X3QwpS2cBl737Jm-f8VKk~jId-ktUATGotnQdxdF~7D3y2ZHT4SOKZbtuksJze8D8NB-p7lPvtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172295/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172295/mini_magick20190201-17887-1nl96zu.png?1549039520"}],"downloadable_attachments_with_full_thumbnails":[{"id":49172295,"asset_id":5709513,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172295/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172295/cabn.3.3.19520160927-9630-d2zot9-libre.pdf?1475041407=\u0026response-content-disposition=attachment%3B+filename%3DEarly_modulation_of_visual_perception_by.pdf\u0026Expires=1733924697\u0026Signature=aT~~fTgMBid7iopHzxTya8mN0mjh4cAVG43JvPjHQNE5Jrjsg4uGXluFVqt0LeYaluB9JgxF8wInaLA~ZkQXpKOW5G6ZQflUccYOo~OOvbv2v9mA4dGPmMl3IKnvbxvEhs5DGGVH6o9C8uJGQUo2g0xOXkdaKvcIC-Bni9F2467h8Z89qHuE~aP8uEgJMRwXkXao4v1a4RcdxVFzycMFyuwZUs~c0YV3dsX49olc3kH7M4w2tSrP2y0IjpsLoBHGTAkYWjFOxE8X3QwpS2cBl737Jm-f8VKk~jId-ktUATGotnQdxdF~7D3y2ZHT4SOKZbtuksJze8D8NB-p7lPvtg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172295/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172295/mini_magick20190201-17887-1nl96zu.png?1549039520"}],"has_pdf":true,"has_fulltext":true,"page_count":12,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology","nofollow":false},{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception","nofollow":false},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography","nofollow":false},{"id":42162,"name":"Emotions","url":"https://www.academia.edu/Documents/in/Emotions","nofollow":false},{"id":51864,"name":"Visual Processing","url":"https://www.academia.edu/Documents/in/Visual_Processing"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain"},{"id":228502,"name":"International Affective Picture System (IAPS)","url":"https://www.academia.edu/Documents/in/International_Affective_Picture_System_IAPS_"},{"id":344588,"name":"Self Assessment","url":"https://www.academia.edu/Documents/in/Self_Assessment"},{"id":413194,"name":"Analysis of Variance","url":"https://www.academia.edu/Documents/in/Analysis_of_Variance"},{"id":413195,"name":"Time Factors","url":"https://www.academia.edu/Documents/in/Time_Factors"},{"id":968586,"name":"Visual Evoked Potentials","url":"https://www.academia.edu/Documents/in/Visual_Evoked_Potentials"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":1819399,"name":"Case Control Studies","url":"https://www.academia.edu/Documents/in/Case_Control_Studies"},{"id":2234200,"name":"Functional Laterality","url":"https://www.academia.edu/Documents/in/Functional_Laterality"}],"publication_year":2003,"publication_year_with_fallback":2003,"paper_rank":null,"all_time_views":32,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709515" data-work_id="5709515" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709515/Brain_responses_to_repetitions_of_human_and_animal_faces_inverted_faces_and_objects_An_MEG_study">Brain responses to repetitions of human and animal faces, inverted faces, and objects — An MEG study</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Recent studies have identified a prominent face-selective ERP response to immediate repetitions of faces ∼ 250 ms (N250r) which was strongly attenuated or eliminated for control stimuli , NeuroReport, 15, 1501-1505. In the present study... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709515" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Recent studies have identified a prominent face-selective ERP response to immediate repetitions of faces ∼ 250 ms (N250r) which was strongly attenuated or eliminated for control stimuli , NeuroReport, 15, 1501-1505. In the present study we used a 148-channel whole head neuromagnetometer to investigate event-related magnetic fields (ERMFs) elicited by repetitions of exemplars of human faces, inverted human faces, primate faces, and car fronts. Participants counted rare pictures of butterflies interspersed in a series of pairs of one of these categories. The second stimulus of each pair could either be a repetition or a non-repetition of the first stimulus. We observed prominent M100 (90-140 ms) and M170 (140-220 ms) responses. Both M100 and M170 were insensitive to repetition and showed little differences between stimulus categories, except for a slight increase and delay of M170 to inverted faces. By contrast, we observed a repetition-sensitive M250r response (220-330 ms). This M250r was larger for upright human and primate faces when compared to both inverted human faces and cars, a finding that was specific for right hemispheric sensors. Source localization suggested different generators for M170 and M250r in occipitotemporal and fusiform areas, respectively. These findings suggest that repetitionsensitive brain activity ∼ 250 ms reflects the transient activation of object representations, with largest responses for upright faces, in the right hemisphere.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709515" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="89b921552d79c59980075c25a0f022d3" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172303,&quot;asset_id&quot;:5709515,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172303/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709515 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709515"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709515, container: ".js-paper-rank-work_5709515", }); 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$(".js-view-count[data-work-id=5709515]").text(description); $(".js-view-count-work_5709515").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709515").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709515"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">15</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="237" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>,&nbsp;<script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5356" href="https://www.academia.edu/Documents/in/Magnetoencephalography">Magnetoencephalography</a>,&nbsp;<script data-card-contents-for-ri="5356" type="text/json">{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10904" href="https://www.academia.edu/Documents/in/Electroencephalography">Electroencephalography</a>,&nbsp;<script data-card-contents-for-ri="10904" type="text/json">{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="11636" href="https://www.academia.edu/Documents/in/Face">Face</a><script data-card-contents-for-ri="11636" type="text/json">{"id":11636,"name":"Face","url":"https://www.academia.edu/Documents/in/Face","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709515]'), work: {"id":5709515,"title":"Brain responses to repetitions of human and animal faces, inverted faces, and objects — An MEG study","created_at":"2014-01-13T23:31:40.448-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709515/Brain_responses_to_repetitions_of_human_and_animal_faces_inverted_faces_and_objects_An_MEG_study","slug":"Brain_responses_to_repetitions_of_human_and_animal_faces_inverted_faces_and_objects_An_MEG_study","dom_id":"work_5709515","summary":"Recent studies have identified a prominent face-selective ERP response to immediate repetitions of faces ∼ 250 ms (N250r) which was strongly attenuated or eliminated for control stimuli , NeuroReport, 15, 1501-1505. In the present study we used a 148-channel whole head neuromagnetometer to investigate event-related magnetic fields (ERMFs) elicited by repetitions of exemplars of human faces, inverted human faces, primate faces, and car fronts. Participants counted rare pictures of butterflies interspersed in a series of pairs of one of these categories. The second stimulus of each pair could either be a repetition or a non-repetition of the first stimulus. We observed prominent M100 (90-140 ms) and M170 (140-220 ms) responses. Both M100 and M170 were insensitive to repetition and showed little differences between stimulus categories, except for a slight increase and delay of M170 to inverted faces. By contrast, we observed a repetition-sensitive M250r response (220-330 ms). This M250r was larger for upright human and primate faces when compared to both inverted human faces and cars, a finding that was specific for right hemispheric sensors. Source localization suggested different generators for M170 and M250r in occipitotemporal and fusiform areas, respectively. These findings suggest that repetitionsensitive brain activity ∼ 250 ms reflects the transient activation of object representations, with largest responses for upright faces, in the right hemisphere.","publication":"Brain Research","publication_with_fallback":"Brain Research","downloadable_attachments":[{"id":49172303,"asset_id":5709515,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172303/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172303/j.brainres.2007.09.07920160927-32387-1dlfm0c-libre.pdf?1475041401=\u0026response-content-disposition=attachment%3B+filename%3DBrain_responses_to_repetitions_of_human.pdf\u0026Expires=1733924698\u0026Signature=J2Eh4rl0u5sBJiTWXkFd5xGJUVPMh47ruaae9H7~jbtLPng8nMo5M5VMIgo1Xh-XsD6YocZcQe~WD8JjuHybVwctm6Z1I~dxE9wFn78c3WSQQvDsVtCDVML29JUadukShS0NfvXbXR0l5jgg85sZmPQL41twUZ5OIPAj~LQl-MJyhPl5jdHE5-7uVDh9Jb2M2cckoNHtlA9LnQLkXgzN~tcmjY~zr~e5Q5DIUmn5J8Lwox8-xYbOK9Qtg~FU-1SgzsxYRqPZNG2RrRT0VShmYgcxzRaq8lq8wFg-J9z8RHaPWWZW1okxwp1Po~8hAaIG3bz0KEa2h2gSGfny-RbAJg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172303/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172303/mini_magick20190201-25518-1xi4b47.png?1549039523"}],"downloadable_attachments_with_full_thumbnails":[{"id":49172303,"asset_id":5709515,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172303/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172303/j.brainres.2007.09.07920160927-32387-1dlfm0c-libre.pdf?1475041401=\u0026response-content-disposition=attachment%3B+filename%3DBrain_responses_to_repetitions_of_human.pdf\u0026Expires=1733924698\u0026Signature=J2Eh4rl0u5sBJiTWXkFd5xGJUVPMh47ruaae9H7~jbtLPng8nMo5M5VMIgo1Xh-XsD6YocZcQe~WD8JjuHybVwctm6Z1I~dxE9wFn78c3WSQQvDsVtCDVML29JUadukShS0NfvXbXR0l5jgg85sZmPQL41twUZ5OIPAj~LQl-MJyhPl5jdHE5-7uVDh9Jb2M2cckoNHtlA9LnQLkXgzN~tcmjY~zr~e5Q5DIUmn5J8Lwox8-xYbOK9Qtg~FU-1SgzsxYRqPZNG2RrRT0VShmYgcxzRaq8lq8wFg-J9z8RHaPWWZW1okxwp1Po~8hAaIG3bz0KEa2h2gSGfny-RbAJg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172303/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172303/mini_magick20190201-25518-1xi4b47.png?1549039523"}],"has_pdf":true,"has_fulltext":true,"page_count":8,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science","nofollow":false},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography","nofollow":false},{"id":11636,"name":"Face","url":"https://www.academia.edu/Documents/in/Face","nofollow":false},{"id":28499,"name":"Face perception","url":"https://www.academia.edu/Documents/in/Face_perception"},{"id":34754,"name":"Magnetic field","url":"https://www.academia.edu/Documents/in/Magnetic_field"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":54755,"name":"Right Hemisphere 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class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709516" data-work_id="5709516" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709516/Fear_but_not_awareness_predicts_enhanced_sensory_processing_in_fear_conditioning">Fear but not awareness predicts enhanced sensory processing in fear conditioning</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">It is not clear whether enhanced cortical processing of reinforced stimuli as reported by neuroimaging studies is due to expectancy of an aversive event alone or to activation of the fear system. The present study investigated cortical... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709516" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">It is not clear whether enhanced cortical processing of reinforced stimuli as reported by neuroimaging studies is due to expectancy of an aversive event alone or to activation of the fear system. The present study investigated cortical and autonomic responses of aware participants using an instructed fear conditioning design. Steady-state visual evoked fields (ssVEF) and heart rate change were recorded to assess sensory processing and activation of the fear system by reinforced (CS+) and nonreinforced stimuli (CS−). Participants who showed heart rate acceleration demonstrated increased ssVEFs in visual and parietal cortex during CS+ in acquisition trials. Heart rate decelerators did not show enhanced cortical activation with respect to the CS+. Participants in both groups reported awareness of CS–US contingencies. Awareness of stimulus contingency in fear conditioning seems not to be sufficient to elicit enhanced visual cortical processing.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709516" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="23d41d5ac0b3eda54326fc23868f581e" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172304,&quot;asset_id&quot;:5709516,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172304/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709516 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709516"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709516, container: ".js-paper-rank-work_5709516", }); 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$(".js-view-count[data-work-id=5709516]").text(description); $(".js-view-count-work_5709516").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709516").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709516"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">12</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1026" href="https://www.academia.edu/Documents/in/Psychophysiology">Psychophysiology</a>,&nbsp;<script data-card-contents-for-ri="1026" type="text/json">{"id":1026,"name":"Psychophysiology","url":"https://www.academia.edu/Documents/in/Psychophysiology","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3931" href="https://www.academia.edu/Documents/in/Fear">Fear</a>,&nbsp;<script data-card-contents-for-ri="3931" type="text/json">{"id":3931,"name":"Fear","url":"https://www.academia.edu/Documents/in/Fear","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5356" href="https://www.academia.edu/Documents/in/Magnetoencephalography">Magnetoencephalography</a>,&nbsp;<script data-card-contents-for-ri="5356" type="text/json">{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7736" href="https://www.academia.edu/Documents/in/Attention">Attention</a><script data-card-contents-for-ri="7736" type="text/json">{"id":7736,"name":"Attention","url":"https://www.academia.edu/Documents/in/Attention","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709516]'), work: {"id":5709516,"title":"Fear but not awareness predicts enhanced sensory processing in fear conditioning","created_at":"2014-01-13T23:31:41.004-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709516/Fear_but_not_awareness_predicts_enhanced_sensory_processing_in_fear_conditioning","slug":"Fear_but_not_awareness_predicts_enhanced_sensory_processing_in_fear_conditioning","dom_id":"work_5709516","summary":"It is not clear whether enhanced cortical processing of reinforced stimuli as reported by neuroimaging studies is due to expectancy of an aversive event alone or to activation of the fear system. The present study investigated cortical and autonomic responses of aware participants using an instructed fear conditioning design. Steady-state visual evoked fields (ssVEF) and heart rate change were recorded to assess sensory processing and activation of the fear system by reinforced (CS+) and nonreinforced stimuli (CS−). Participants who showed heart rate acceleration demonstrated increased ssVEFs in visual and parietal cortex during CS+ in acquisition trials. Heart rate decelerators did not show enhanced cortical activation with respect to the CS+. Participants in both groups reported awareness of CS–US contingencies. Awareness of stimulus contingency in fear conditioning seems not to be sufficient to elicit enhanced visual cortical processing.","publication":"Psychophysiology","publication_with_fallback":"Psychophysiology","downloadable_attachments":[{"id":49172304,"asset_id":5709516,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172304/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172304/j.1464-8986.2006.00386.x20160927-32387-1c45ozs-libre.pdf?1475041402=\u0026response-content-disposition=attachment%3B+filename%3DFear_but_not_awareness_predicts_enhanced.pdf\u0026Expires=1733924698\u0026Signature=JYrKx6PLg8I89bVv0fVx8ksiZ63ZIiFQ792JWJh7krGTXJOXEcD~h5aRzb-mE7y6ptSZEqZR2IOZjk3y2tVMswyHImNnbLZDsndRMthmrDNsnrhDJ-L8tIux~-L0x39ekmcXu9GcCpwGEdm4H~arWTZnPavxrY3aMzfOgrfgdyFoBMMcFvnBlFemzP241781XtPWxeImGfa7PDJmokjJFQkZ24mzirJvCORDl79~5TxCr6Tub8i86gUoZ5amvYjxl8PnKVAcuVCzdtIfvY~T3s~Xwgov97hkzguVfnXcwrArsyFLPKbPtuCopS7CPZQHIT08~7cySCpcyir3RIlSnQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172304/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172304/mini_magick20190201-30356-1r3eb8p.png?1549039574"}],"downloadable_attachments_with_full_thumbnails":[{"id":49172304,"asset_id":5709516,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172304/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172304/j.1464-8986.2006.00386.x20160927-32387-1c45ozs-libre.pdf?1475041402=\u0026response-content-disposition=attachment%3B+filename%3DFear_but_not_awareness_predicts_enhanced.pdf\u0026Expires=1733924698\u0026Signature=JYrKx6PLg8I89bVv0fVx8ksiZ63ZIiFQ792JWJh7krGTXJOXEcD~h5aRzb-mE7y6ptSZEqZR2IOZjk3y2tVMswyHImNnbLZDsndRMthmrDNsnrhDJ-L8tIux~-L0x39ekmcXu9GcCpwGEdm4H~arWTZnPavxrY3aMzfOgrfgdyFoBMMcFvnBlFemzP241781XtPWxeImGfa7PDJmokjJFQkZ24mzirJvCORDl79~5TxCr6Tub8i86gUoZ5amvYjxl8PnKVAcuVCzdtIfvY~T3s~Xwgov97hkzguVfnXcwrArsyFLPKbPtuCopS7CPZQHIT08~7cySCpcyir3RIlSnQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172304/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172304/mini_magick20190201-30356-1r3eb8p.png?1549039574"}],"has_pdf":true,"has_fulltext":true,"page_count":11,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan 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u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709517/Cortical_activation_during_Pavlovian_fear_conditioning_depends_on_heart_rate_response_patterns_An_MEG_study">Cortical activation during Pavlovian fear conditioning depends on heart rate response patterns: An MEG study</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In the present study, we examined stimulus-driven neuromagnetic activity in a delayed Pavlovian aversive conditioning paradigm using steady state visual evoked fields (SSVEF). Subjects showing an accelerative heart rate (HR) component to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709517" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In the present study, we examined stimulus-driven neuromagnetic activity in a delayed Pavlovian aversive conditioning paradigm using steady state visual evoked fields (SSVEF). Subjects showing an accelerative heart rate (HR) component to the CS+ during learning trials exhibited an increased activation in sensory and parietal cortex due to CS+ depiction in the extinction block. This was accompanied by a selective orientation response (OR) to the CS+ during extinction as indexed by HR deceleration. However, they did not show any differential cortical activation patterns during acquisition. In contrast, subjects not showing an accelerative HR component but rather unspecific HR changes during learning were characterized by greater activity in left orbito-frontal brain regions in the acquisition block but did not show differential SSVEF patterns during extinction. The results suggest that participants expressing different HR responses also differ in their stimulus-driven neuromagnetic response pattern to an aversively conditioned stimulus. 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Subjects showing an accelerative heart rate (HR) component to the CS+ during learning trials exhibited an increased activation in sensory and parietal cortex due to CS+ depiction in the extinction block. This was accompanied by a selective orientation response (OR) to the CS+ during extinction as indexed by HR deceleration. However, they did not show any differential cortical activation patterns during acquisition. In contrast, subjects not showing an accelerative HR component but rather unspecific HR changes during learning were characterized by greater activity in left orbito-frontal brain regions in the acquisition block but did not show differential SSVEF patterns during extinction. The results suggest that participants expressing different HR responses also differ in their stimulus-driven neuromagnetic response pattern to an aversively conditioned stimulus. 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type="text/json">{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5356" href="https://www.academia.edu/Documents/in/Magnetoencephalography">Magnetoencephalography</a>,&nbsp;<script data-card-contents-for-ri="5356" type="text/json">{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5359" href="https://www.academia.edu/Documents/in/Visual_perception">Visual perception</a><script data-card-contents-for-ri="5359" type="text/json">{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709518]'), work: {"id":5709518,"title":"Motivated attention in 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u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709520" data-work_id="5709520" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709520/Sustained_versus_transient_brain_responses_in_schizophrenia_the_role_of_intrinsic_neural_activity">Sustained versus transient brain responses in schizophrenia: the role of intrinsic neural activity</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Schizophrenia patients (SZ) show early visual processing deficits in many, but not all, tasks. These deficits may be associated with dysregulation of intrinsic oscillatory activity that compromises signal-to-noise in the SZ brain. This... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709520" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Schizophrenia patients (SZ) show early visual processing deficits in many, but not all, tasks. These deficits may be associated with dysregulation of intrinsic oscillatory activity that compromises signal-to-noise in the SZ brain. This question was studied using visual steady-state stimulation and post-steady-state presentation of transient visual stimuli. SZ had higher intrinsic oscillatory activity at the steady-state stimulation frequency (12.5 Hz) and at the 6.25 Hz subharmonic, showed a significant decrease in visual steady-state magnitude over 2 sec of stimulation, and were unable to promptly terminate the steady-state response following stimulation offset. If adjustment for levels of intrinsic brain activity were made, however, it would have appeared that SZ had activity of similar magnitude as healthy subjects following steady-state stimulus termination, indicating that such adjustments could substantially alter theoretical interpretations. Visual evoked potential abnormalities (N1/P2 amplitudes) present among SZ at the initiation of steady-state stimulation were less apparent in the 750 ms immediately following steady-state stimulation offset. Higher intrinsic oscillatory brain activity may be a fundamental characteristic of SZ that merits further evaluation for understanding this disorder&#39;s neuropathological correlates and associated symptomatology.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709520" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6badee8111e7c3b3e5304ced51de546d" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172299,&quot;asset_id&quot;:5709520,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172299/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709520 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709520"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709520, container: ".js-paper-rank-work_5709520", }); 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})();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709521" data-work_id="5709521" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709521/Modulation_of_the_C1_Visual_Event_related_Component_by_Conditioned_Stimuli_Evidence_for_Sensory_Plasticity_in_Early_Affective_Perception">Modulation of the C1 Visual Event-related Component by Conditioned Stimuli: Evidence for Sensory Plasticity in Early Affective Perception</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Previous research has demonstrated optimized processing of motivationally significant stimuli early in perception. In the present study, the time course and underlying mechanisms for such fast differentiation are of interest. We... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709521" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Previous research has demonstrated optimized processing of motivationally significant stimuli early in perception. In the present study, the time course and underlying mechanisms for such fast differentiation are of interest. We investigated the involvement of the primary visual cortex in affective evaluation of conditioned stimuli (CSs). In order to elicit learning within the visual system we chose affective pictures as unconditioned stimuli and used laterally presented gratings as CSs. Using high-density electroencephalography, we demonstrated modulation of the C1 visual event-related component for threat-related stimuli versus neutral stimuli, which increased with continuing acquisition of affective meaning. The differentiation between aversive and neutral visual stimuli occurred as early as 65--90 ms after stimulus onset and suggested involvement of the primary visual areas in affective evaluation. As an underlying mechanism, we discuss short-term reorganization in visual cortex, enabling sensory amplification of specific visual features that are related to motivationally relevant information. Figure 2. Layout of the electrode array. The electrodes, labeled here according to the international 10--20 system, were grouped for the purpose of statistical analyses. The electrodes posterior to Pz comprise the posterior groups, and the midline divided left and right electrodes.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709521" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d935bf2c156b519c7aeea98f1f133187" rel="nofollow" data-download="{&quot;attachment_id&quot;:32752879,&quot;asset_id&quot;:5709521,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/32752879/download_file?st=MTczMzkyMTA5OCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709521 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709521"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709521, container: ".js-paper-rank-work_5709521", }); 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In the present study, the time course and underlying mechanisms for such fast differentiation are of interest. We investigated the involvement of the primary visual cortex in affective evaluation of conditioned stimuli (CSs). In order to elicit learning within the visual system we chose affective pictures as unconditioned stimuli and used laterally presented gratings as CSs. Using high-density electroencephalography, we demonstrated modulation of the C1 visual event-related component for threat-related stimuli versus neutral stimuli, which increased with continuing acquisition of affective meaning. The differentiation between aversive and neutral visual stimuli occurred as early as 65--90 ms after stimulus onset and suggested involvement of the primary visual areas in affective evaluation. As an underlying mechanism, we discuss short-term reorganization in visual cortex, enabling sensory amplification of specific visual features that are related to motivationally relevant information. Figure 2. Layout of the electrode array. The electrodes, labeled here according to the international 10--20 system, were grouped for the purpose of statistical analyses. 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Plasticity","url":"https://www.academia.edu/Documents/in/Neuronal_Plasticity"},{"id":187796,"name":"Primary visual cortex","url":"https://www.academia.edu/Documents/in/Primary_visual_cortex"},{"id":620661,"name":"High Density Concrete","url":"https://www.academia.edu/Documents/in/High_Density_Concrete"},{"id":968586,"name":"Visual Evoked Potentials","url":"https://www.academia.edu/Documents/in/Visual_Evoked_Potentials"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":1315979,"name":"Time Course","url":"https://www.academia.edu/Documents/in/Time_Course"},{"id":1682353,"name":"Visual Features","url":"https://www.academia.edu/Documents/in/Visual_Features"}],"publication_year":2006,"publication_year_with_fallback":2006,"paper_rank":null,"all_time_views":16,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709522" data-work_id="5709522" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709522/Additive_Effects_of_Emotional_Content_and_Spatial_Selective_Attention_on_Electrocortical_Facilitation">Additive Effects of Emotional Content and Spatial Selective Attention on Electrocortical Facilitation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Affectively arousing visual stimuli have been suggested to automatically attract attentional resources in order to optimize sensory processing. The present study crosses the factors of spatial selective attention and affective content,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709522" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Affectively arousing visual stimuli have been suggested to automatically attract attentional resources in order to optimize sensory processing. The present study crosses the factors of spatial selective attention and affective content, and examines the relationship between instructed (spatial) and automatic attention to affective stimuli. In addition to response times and error rate, electroencephalographic data from 129 electrodes were recorded during a covert spatial attention task. This task required silent counting of randomdot targets embedded in a 10 Hz flicker of colored pictures presented to both hemifields. Steady-state visual evoked potentials (ssVEPs) were obtained to determine amplitude and phase of electrocortical responses to pictures. An increase of ssVEP amplitude was observed as an additive function of spatial attention and emotional content. Statistical parametric mapping of this effect indicated occipitotemporal and parietal cortex activation contralateral to the attended visual hemifield in ssVEP amplitude modulation. This difference was most pronounced during selection of the left visual hemifield, at right temporal electrodes. In line with this finding, phase information revealed accelerated processing of aversive arousing, compared to affectively neutral pictures. The data suggest that affective stimulus properties modulate the spatiotemporal process along the ventral stream, encompassing amplitude amplification and timing changes of posterior and temporal cortex. Figure 3. Layout of the electrode array. Locations of the electrodes grouped into factors for regional mean ANOVAs are shown.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709522" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bafe89d6e12b71e1b162261398f06e8a" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172344,&quot;asset_id&quot;:5709522,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172344/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709522 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709522"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709522, container: ".js-paper-rank-work_5709522", }); 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$(".js-view-count[data-work-id=5709522]").text(description); $(".js-view-count-work_5709522").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709522").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709522"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">11</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="237" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>,&nbsp;<script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1680" href="https://www.academia.edu/Documents/in/Selective_Attention">Selective Attention</a>,&nbsp;<script data-card-contents-for-ri="1680" type="text/json">{"id":1680,"name":"Selective Attention","url":"https://www.academia.edu/Documents/in/Selective_Attention","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7736" href="https://www.academia.edu/Documents/in/Attention">Attention</a>,&nbsp;<script data-card-contents-for-ri="7736" type="text/json">{"id":7736,"name":"Attention","url":"https://www.academia.edu/Documents/in/Attention","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="10904" href="https://www.academia.edu/Documents/in/Electroencephalography">Electroencephalography</a><script data-card-contents-for-ri="10904" type="text/json">{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709522]'), work: {"id":5709522,"title":"Additive Effects of Emotional Content and Spatial Selective Attention on Electrocortical Facilitation","created_at":"2014-01-13T23:31:44.065-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709522/Additive_Effects_of_Emotional_Content_and_Spatial_Selective_Attention_on_Electrocortical_Facilitation","slug":"Additive_Effects_of_Emotional_Content_and_Spatial_Selective_Attention_on_Electrocortical_Facilitation","dom_id":"work_5709522","summary":"Affectively arousing visual stimuli have been suggested to automatically attract attentional resources in order to optimize sensory processing. The present study crosses the factors of spatial selective attention and affective content, and examines the relationship between instructed (spatial) and automatic attention to affective stimuli. In addition to response times and error rate, electroencephalographic data from 129 electrodes were recorded during a covert spatial attention task. This task required silent counting of randomdot targets embedded in a 10 Hz flicker of colored pictures presented to both hemifields. Steady-state visual evoked potentials (ssVEPs) were obtained to determine amplitude and phase of electrocortical responses to pictures. An increase of ssVEP amplitude was observed as an additive function of spatial attention and emotional content. Statistical parametric mapping of this effect indicated occipitotemporal and parietal cortex activation contralateral to the attended visual hemifield in ssVEP amplitude modulation. This difference was most pronounced during selection of the left visual hemifield, at right temporal electrodes. In line with this finding, phase information revealed accelerated processing of aversive arousing, compared to affectively neutral pictures. The data suggest that affective stimulus properties modulate the spatiotemporal process along the ventral stream, encompassing amplitude amplification and timing changes of posterior and temporal cortex. Figure 3. Layout of the electrode array. Locations of the electrodes grouped into factors for regional mean ANOVAs are shown.","publication":"Cerebral Cortex","publication_with_fallback":"Cerebral Cortex","downloadable_attachments":[{"id":49172344,"asset_id":5709522,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172344/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172344/Additive_effects_of_emtional_content_and20160927-9622-iai3hf-libre.pdf?1475041390=\u0026response-content-disposition=attachment%3B+filename%3DAdditive_Effects_of_Emotional_Content_an.pdf\u0026Expires=1733924699\u0026Signature=O2KLygULpr4hxopx18hr19OSfI-QE~DE9CJMHeGmEreXTOZhfbdK633mK0hnDMqNl9Qeqfs4u2CPNfnXOFzTDaFHiajobdkPrf70I3mccWalQl38R7wn-jrjCYvy2u0rsA7GOjB0bWZsXTV1FvksTivFRZsRzWZ0foPjii7gz0xHQcy86a-esmz1o30G5GsI~YpH1e9vm4nMQ1xQhpR0CmT6jMmP05~Sq9pG5ZfxWcnn3ymZcKwe6B-~e0K3MMjXgsB8C6KZZ~5pSZ1wmLdsGlujg-DrTpiiQxH7sXVkJeHSQfJnoWtLYtoBkm23jhralAqVuhk4dKZPTdpzMQQJ1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172344/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172344/mini_magick20190201-25515-3tv1xf.png?1549039508"}],"downloadable_attachments_with_full_thumbnails":[{"id":49172344,"asset_id":5709522,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172344/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172344/Additive_effects_of_emtional_content_and20160927-9622-iai3hf-libre.pdf?1475041390=\u0026response-content-disposition=attachment%3B+filename%3DAdditive_Effects_of_Emotional_Content_an.pdf\u0026Expires=1733924699\u0026Signature=O2KLygULpr4hxopx18hr19OSfI-QE~DE9CJMHeGmEreXTOZhfbdK633mK0hnDMqNl9Qeqfs4u2CPNfnXOFzTDaFHiajobdkPrf70I3mccWalQl38R7wn-jrjCYvy2u0rsA7GOjB0bWZsXTV1FvksTivFRZsRzWZ0foPjii7gz0xHQcy86a-esmz1o30G5GsI~YpH1e9vm4nMQ1xQhpR0CmT6jMmP05~Sq9pG5ZfxWcnn3ymZcKwe6B-~e0K3MMjXgsB8C6KZZ~5pSZ1wmLdsGlujg-DrTpiiQxH7sXVkJeHSQfJnoWtLYtoBkm23jhralAqVuhk4dKZPTdpzMQQJ1Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172344/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172344/mini_magick20190201-25515-3tv1xf.png?1549039508"}],"has_pdf":true,"has_fulltext":true,"page_count":11,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science","nofollow":false},{"id":1680,"name":"Selective Attention","url":"https://www.academia.edu/Documents/in/Selective_Attention","nofollow":false},{"id":7736,"name":"Attention","url":"https://www.academia.edu/Documents/in/Attention","nofollow":false},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography","nofollow":false},{"id":42162,"name":"Emotions","url":"https://www.academia.edu/Documents/in/Emotions"},{"id":45349,"name":"Space perception","url":"https://www.academia.edu/Documents/in/Space_perception"},{"id":78467,"name":"Cerebral Cortex","url":"https://www.academia.edu/Documents/in/Cerebral_Cortex"},{"id":119665,"name":"Reaction Time","url":"https://www.academia.edu/Documents/in/Reaction_Time"},{"id":346333,"name":"Cerebral","url":"https://www.academia.edu/Documents/in/Cerebral"},{"id":413194,"name":"Analysis of Variance","url":"https://www.academia.edu/Documents/in/Analysis_of_Variance"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"publication_year":2004,"publication_year_with_fallback":2004,"paper_rank":null,"all_time_views":12,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709524" data-work_id="5709524" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709524/Orbitofrontal_dysfunction_related_to_depressive_symptomatology_in_subjects_with_borderline_personality_disorder">Orbitofrontal dysfunction related to depressive symptomatology in subjects with borderline personality disorder</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Objective: In order to explore the relationships of fronto-limbic dysfunction with the clinical features of borderline personality disorder (BPD), the authors investigated brain electrophysiological activity in BPD patients following... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709524" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Objective: In order to explore the relationships of fronto-limbic dysfunction with the clinical features of borderline personality disorder (BPD), the authors investigated brain electrophysiological activity in BPD patients following stimulation with emotionally arousing images. Methods: Seventeen non-medicated patients with borderline personality disorder were studied with magneto-encephalography. Regional cortical activities were obtained by minimum norm estimate (MNE) of steady-state visual evoked fields (ssVEFs). Linear regression models were conducted to explore clinical correlates of brain activity. Results: Although no interaction group × picture category × brain region was found, a significant interaction group × brain region appeared for orbito-frontal cortex (OFC). BPD patients showed significantly reduced magnetocortical activity in left OFC across all picture categories (F = 26.4; p b .05; F = 31.4). Left OFC activity was inversely correlated with depression score in the BDI (r: − 0.48, p b 0.05), with score in the Cornell Dysthymia rating scale (r: − 0.52, p b 0.05) and with the number of criteria met for depressive personality disorder (r: − 0.44, p b 0.05). Left orbitofrontal activity was also inversely correlated with the global score in the GAF (r − 0.63, p b 0.01). No correlations were found between OFC activity and impulsivity or global severity of BPD symptoms. Conclusions: Abnormal functioning at orbitofrontal areas in BPD could be related to the presence of affective symptomatology and is associated with greater functional deterioration of patients.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709524" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="226ff96fde196d618c2b6fe853544ab0" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172291,&quot;asset_id&quot;:5709524,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172291/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709524 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709524"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709524, container: ".js-paper-rank-work_5709524", }); 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$(".js-view-count[data-work-id=5709524]").text(description); $(".js-view-count-work_5709524").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709524").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709524"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">17</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="3217" href="https://www.academia.edu/Documents/in/Depression">Depression</a>,&nbsp;<script data-card-contents-for-ri="3217" type="text/json">{"id":3217,"name":"Depression","url":"https://www.academia.edu/Documents/in/Depression","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5356" href="https://www.academia.edu/Documents/in/Magnetoencephalography">Magnetoencephalography</a>,&nbsp;<script data-card-contents-for-ri="5356" type="text/json">{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="7535" href="https://www.academia.edu/Documents/in/Borderline_Personality_Disorder">Borderline Personality Disorder</a>,&nbsp;<script data-card-contents-for-ri="7535" type="text/json">{"id":7535,"name":"Borderline Personality Disorder","url":"https://www.academia.edu/Documents/in/Borderline_Personality_Disorder","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="42162" href="https://www.academia.edu/Documents/in/Emotions">Emotions</a><script data-card-contents-for-ri="42162" type="text/json">{"id":42162,"name":"Emotions","url":"https://www.academia.edu/Documents/in/Emotions","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709524]'), work: {"id":5709524,"title":"Orbitofrontal dysfunction related to depressive symptomatology in subjects with borderline personality disorder","created_at":"2014-01-13T23:31:45.112-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709524/Orbitofrontal_dysfunction_related_to_depressive_symptomatology_in_subjects_with_borderline_personality_disorder","slug":"Orbitofrontal_dysfunction_related_to_depressive_symptomatology_in_subjects_with_borderline_personality_disorder","dom_id":"work_5709524","summary":"Objective: In order to explore the relationships of fronto-limbic dysfunction with the clinical features of borderline personality disorder (BPD), the authors investigated brain electrophysiological activity in BPD patients following stimulation with emotionally arousing images. Methods: Seventeen non-medicated patients with borderline personality disorder were studied with magneto-encephalography. Regional cortical activities were obtained by minimum norm estimate (MNE) of steady-state visual evoked fields (ssVEFs). Linear regression models were conducted to explore clinical correlates of brain activity. Results: Although no interaction group × picture category × brain region was found, a significant interaction group × brain region appeared for orbito-frontal cortex (OFC). BPD patients showed significantly reduced magnetocortical activity in left OFC across all picture categories (F = 26.4; p b .05; F = 31.4). Left OFC activity was inversely correlated with depression score in the BDI (r: − 0.48, p b 0.05), with score in the Cornell Dysthymia rating scale (r: − 0.52, p b 0.05) and with the number of criteria met for depressive personality disorder (r: − 0.44, p b 0.05). Left orbitofrontal activity was also inversely correlated with the global score in the GAF (r − 0.63, p b 0.01). No correlations were found between OFC activity and impulsivity or global severity of BPD symptoms. Conclusions: Abnormal functioning at orbitofrontal areas in BPD could be related to the presence of affective symptomatology and is associated with greater functional deterioration of patients.","publication":"Journal of Affective Disorders","publication_with_fallback":"Journal of Affective 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Rating Scales","url":"https://www.academia.edu/Documents/in/Psychiatric_Status_Rating_Scales"}],"publication_year":2011,"publication_year_with_fallback":2011,"paper_rank":null,"all_time_views":16,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709525" data-work_id="5709525" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709525/Neural_mechanisms_of_evoked_oscillations_Stability_and_interaction_with_transient_events">Neural mechanisms of evoked oscillations: Stability and interaction with transient events</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">There is increasing evidence that early event-related potentials are a result of phase alignment of ongoing background oscillations of the electroencephalogram rather than additive amplitude modulation. Steady state visual-evoked... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709525" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">There is increasing evidence that early event-related potentials are a result of phase alignment of ongoing background oscillations of the electroencephalogram rather than additive amplitude modulation. Steady state visual-evoked potentials (ssVEPs) can be recorded using an intensity modulated stimulus, resulting in an evoked brain response at a known frequency, i.e. the stimulation frequency. Given this property, the ssVEP is ideally suited for examining the relationship between single-trial fluctuations in phase/amplitude and the evoked brain potential resulting from averaging across trials. To address this issue, the current study investigated the contribution of single trial power and intertrial phase locking to ssVEP generation by presenting a peripheral flicker. Further, transient stimuli were presented during flicker and at three increasing latency lags following flicker offset to examine (1) to what extent a stimulus can disturb the ssVEP oscillation and (2) how phase alignment during P1-N1-P2 time windows is affected during presence of evoked oscillations. The former assessment evaluates the stability of ssVEPs and the latter the phase alignment processes to transient stimuli under experimentally induced background oscillations. We observed that ssVEPs are a result of phase alignment rather than single trial amplitude modulation. In addition, ssVEP oscillations were not disturbed by transient stimuli. Finally, phase alignment in P1-N1-P2 time windows was distorted during and shortly after steady state stimulation. We conclude that ssVEPs represent strongly phase locked oscillations sharing the same generation mechanisms as early evoked potentials. Hum Brain Mapp, 2007. © 2007 Wiley-Liss, Inc.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709525" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e6cb1c977f82f199e679e44ce43df23e" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172289,&quot;asset_id&quot;:5709525,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172289/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709525 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709525"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709525, container: ".js-paper-rank-work_5709525", }); 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Steady state visual-evoked potentials (ssVEPs) can be recorded using an intensity modulated stimulus, resulting in an evoked brain response at a known frequency, i.e. the stimulation frequency. Given this property, the ssVEP is ideally suited for examining the relationship between single-trial fluctuations in phase/amplitude and the evoked brain potential resulting from averaging across trials. To address this issue, the current study investigated the contribution of single trial power and intertrial phase locking to ssVEP generation by presenting a peripheral flicker. Further, transient stimuli were presented during flicker and at three increasing latency lags following flicker offset to examine (1) to what extent a stimulus can disturb the ssVEP oscillation and (2) how phase alignment during P1-N1-P2 time windows is affected during presence of evoked oscillations. The former assessment evaluates the stability of ssVEPs and the latter the phase alignment processes to transient stimuli under experimentally induced background oscillations. We observed that ssVEPs are a result of phase alignment rather than single trial amplitude modulation. In addition, ssVEP oscillations were not disturbed by transient stimuli. Finally, phase alignment in P1-N1-P2 time windows was distorted during and shortly after steady state stimulation. We conclude that ssVEPs represent strongly phase locked oscillations sharing the same generation mechanisms as early evoked potentials. Hum Brain Mapp, 2007. © 2007 Wiley-Liss, Inc.","publication":"Human Brain Mapping","publication_with_fallback":"Human Brain Mapping","downloadable_attachments":[{"id":49172289,"asset_id":5709525,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172289/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172289/hbm.2034220160927-32387-81mrfx-libre.pdf?1475041407=\u0026response-content-disposition=attachment%3B+filename%3DNeural_mechanisms_of_evoked_oscillations.pdf\u0026Expires=1733924699\u0026Signature=gXosDioAEVydIfDSTWFlTCUPlgv6KqOenVYTOJNHd4w5OXsTRXd7Z1EbApkJuo9-ts0MjOHQvCBAdIW8X5ENWJc0VaDDvJmJpKIu-G-A6XDF4tf8un8NPa7GG08ZAySuVYDEYqR4VVMV6rCfRODoErZie1P-Pso9DgFcAqLukxyXDw3pTDyxWtllbWFxACeqcMamKOnq4SmceKWa23HjUIJMzN6jXzD5tvMc651a4vGo5iU7-jdu~qIS7v-S0U5jqJ0nHxZjVQ~Tl6PgvF6Veasr7iPdvQ6NAz405y7AB9EK1nTeOFRlyhRQeTgDwBs-XBK1I6Yc8Jhq7wW4WXcqIw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172289/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172289/mini_magick20190201-25515-17ovgfv.png?1549039526"}],"downloadable_attachments_with_full_thumbnails":[{"id":49172289,"asset_id":5709525,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172289/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172289/hbm.2034220160927-32387-81mrfx-libre.pdf?1475041407=\u0026response-content-disposition=attachment%3B+filename%3DNeural_mechanisms_of_evoked_oscillations.pdf\u0026Expires=1733924699\u0026Signature=gXosDioAEVydIfDSTWFlTCUPlgv6KqOenVYTOJNHd4w5OXsTRXd7Z1EbApkJuo9-ts0MjOHQvCBAdIW8X5ENWJc0VaDDvJmJpKIu-G-A6XDF4tf8un8NPa7GG08ZAySuVYDEYqR4VVMV6rCfRODoErZie1P-Pso9DgFcAqLukxyXDw3pTDyxWtllbWFxACeqcMamKOnq4SmceKWa23HjUIJMzN6jXzD5tvMc651a4vGo5iU7-jdu~qIS7v-S0U5jqJ0nHxZjVQ~Tl6PgvF6Veasr7iPdvQ6NAz405y7AB9EK1nTeOFRlyhRQeTgDwBs-XBK1I6Yc8Jhq7wW4WXcqIw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172289/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172289/mini_magick20190201-25515-17ovgfv.png?1549039526"}],"has_pdf":true,"has_fulltext":true,"page_count":16,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science","nofollow":false},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography","nofollow":false},{"id":119665,"name":"Reaction Time","url":"https://www.academia.edu/Documents/in/Reaction_Time","nofollow":false},{"id":123230,"name":"Regression Analysis","url":"https://www.academia.edu/Documents/in/Regression_Analysis","nofollow":false},{"id":174781,"name":"Oscillations","url":"https://www.academia.edu/Documents/in/Oscillations"},{"id":685368,"name":"Human Brain Mapping","url":"https://www.academia.edu/Documents/in/Human_Brain_Mapping"},{"id":968586,"name":"Visual Evoked Potentials","url":"https://www.academia.edu/Documents/in/Visual_Evoked_Potentials"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":1275961,"name":"Alpha Rhythm","url":"https://www.academia.edu/Documents/in/Alpha_Rhythm"},{"id":1394091,"name":"Theta Rhythm","url":"https://www.academia.edu/Documents/in/Theta_Rhythm"}],"publication_year":2007,"publication_year_with_fallback":2007,"paper_rank":null,"all_time_views":21,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709526" data-work_id="5709526" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709526/Adaptation_in_human_visual_cortex_as_a_mechanism_for_rapid_discrimination_of_aversive_stimuli">Adaptation in human visual cortex as a mechanism for rapid discrimination of aversive stimuli</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This study sought to examine the electrophysiological correlates of visual perceptual priming in a sample of low risk preterm infants. We compared the ERP data of 20 healthy preterm infants at the age of 6 months (corrected age: 4 months)... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709526" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This study sought to examine the electrophysiological correlates of visual perceptual priming in a sample of low risk preterm infants. We compared the ERP data of 20 healthy preterm infants at the age of 6 months (corrected age: 4 months) to those of 20 six-month-old and 20 four-month-old full term infants. The comparison groups represented the preterm infants&#39; chronological and corrected ages respectively. The results showed that the brain responses of the preterm infants at the age of 6 months, specifically the topography and the latency of the Nc component, are more similar to those of their corrected age peers than to those of the chronological age controls.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709526" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1b27aae3ed02684fe4bd2f3c849ed628" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172300,&quot;asset_id&quot;:5709526,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172300/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709526 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709526"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709526, container: ".js-paper-rank-work_5709526", }); 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We compared the ERP data of 20 healthy preterm infants at the age of 6 months (corrected age: 4 months) to those of 20 six-month-old and 20 four-month-old full term infants. The comparison groups represented the preterm infants' chronological and corrected ages respectively. The results showed that the brain responses of the preterm infants at the age of 6 months, specifically the topography and the latency of the Nc component, are more similar to those of their corrected age peers than to those of the chronological age controls.","publication":"Neuroimage","publication_with_fallback":"Neuroimage","downloadable_attachments":[{"id":49172300,"asset_id":5709526,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172300/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172300/Adaptation_in_human_visual_cortex_as_a_m20160927-5677-k481n4-libre.pdf?1475041403=\u0026response-content-disposition=attachment%3B+filename%3DAdaptation_in_human_visual_cortex_as_a_m.pdf\u0026Expires=1733924699\u0026Signature=Go~ARhgEK6tK8WrzHyN8D~iSj7uxlGf6gYe2kOR5Fi72jErujmXC~KJSZqVUamTPXEBjZt5-BlRdlUF4Vt~X2TSjssOsegCoBWAWeJ~6MDPXqW2HYhmNNRAQL3WsDRl62kpmHuPFUes~m7OLk1AuLo~XMHep9-LWC5xYUhVp520aHC3wgTKta4o76Tx6wXLZKfYHKozTr0Mupvx5-yhD~NNvRfxsGZIrxndVvEgCVuse-FsaLMbuv1CoTiVI-OVSAqzAldtfHcNybZXCB-bL~v6okgd0grfFGIS8ZjJLXA4MTrAeZwRk4A9aH-DJqbsBOqLUP2ptn5okuD0YWD4Vkw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172300/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172300/mini_magick20190201-24408-1da4mux.png?1549039659"}],"downloadable_attachments_with_full_thumbnails":[{"id":49172300,"asset_id":5709526,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172300/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172300/Adaptation_in_human_visual_cortex_as_a_m20160927-5677-k481n4-libre.pdf?1475041403=\u0026response-content-disposition=attachment%3B+filename%3DAdaptation_in_human_visual_cortex_as_a_m.pdf\u0026Expires=1733924699\u0026Signature=Go~ARhgEK6tK8WrzHyN8D~iSj7uxlGf6gYe2kOR5Fi72jErujmXC~KJSZqVUamTPXEBjZt5-BlRdlUF4Vt~X2TSjssOsegCoBWAWeJ~6MDPXqW2HYhmNNRAQL3WsDRl62kpmHuPFUes~m7OLk1AuLo~XMHep9-LWC5xYUhVp520aHC3wgTKta4o76Tx6wXLZKfYHKozTr0Mupvx5-yhD~NNvRfxsGZIrxndVvEgCVuse-FsaLMbuv1CoTiVI-OVSAqzAldtfHcNybZXCB-bL~v6okgd0grfFGIS8ZjJLXA4MTrAeZwRk4A9aH-DJqbsBOqLUP2ptn5okuD0YWD4Vkw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172300/download_file?st=MTczMzkyMTA5OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172300/mini_magick20190201-24408-1da4mux.png?1549039659"}],"has_pdf":true,"has_fulltext":true,"page_count":8,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan 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u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709527" data-work_id="5709527" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709527/Source_distribution_of_neuromagnetic_slow_waves_and_MEG_delta_activity_in_schizophrenic_patients">Source distribution of neuromagnetic slow waves and MEG-delta activity in schizophrenic patients</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background: Schizophrenic patients exhibit more activity in the electroencephalographic delta and theta frequency range than do control subjects. Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709527" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background: Schizophrenic patients exhibit more activity in the electroencephalographic delta and theta frequency range than do control subjects. Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the magnetoencephalogram (MEG), the distribution of its sources, and associations between symptom profiles and sources of low-frequency activity in the brain. Methods: Whole-head MEG recordings were obtained from 28 schizophrenic patients and 20 healthy control subjects during a resting condition. The generators of the focal magnetic slow waves were located employing a single moving dipole model. Distributed or multiple delta and theta sources were captured by the minimum norm estimate. Results: Both localization procedures showed slow wave activity to be enhanced in schizophrenic patients compared with control subjects. Focal slow wave activity differed most between groups in frontotemporal and in posterior regions. Slow wave activity was associated with symptom characteristics in that positive symptoms varied with frontal delta and theta activity. Conclusions: Results indicate that activity in low-frequency bands in schizophrenic patients exceeds the activity of control subjects in distinct areas, and that this focal clustering of neuromagnetic slow waves may be related to psychopathologic characteristics.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709527" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="eb0c2e00356ecda802c77eaf5fe3064e" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172302,&quot;asset_id&quot;:5709527,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172302/download_file?st=MTczMzkyMTEwMCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709527 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709527"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709527, container: ".js-paper-rank-work_5709527", }); 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$(".js-view-count[data-work-id=5709527]").text(description); $(".js-view-count-work_5709527").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709527").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709527"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">29</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="48" href="https://www.academia.edu/Documents/in/Engineering">Engineering</a>,&nbsp;<script data-card-contents-for-ri="48" type="text/json">{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3217" href="https://www.academia.edu/Documents/in/Depression">Depression</a>,&nbsp;<script data-card-contents-for-ri="3217" type="text/json">{"id":3217,"name":"Depression","url":"https://www.academia.edu/Documents/in/Depression","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="3227" href="https://www.academia.edu/Documents/in/Schizophrenia">Schizophrenia</a>,&nbsp;<script data-card-contents-for-ri="3227" type="text/json">{"id":3227,"name":"Schizophrenia","url":"https://www.academia.edu/Documents/in/Schizophrenia","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5356" href="https://www.academia.edu/Documents/in/Magnetoencephalography">Magnetoencephalography</a><script data-card-contents-for-ri="5356" type="text/json">{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709527]'), work: {"id":5709527,"title":"Source distribution of neuromagnetic slow waves and MEG-delta activity in schizophrenic patients","created_at":"2014-01-13T23:31:57.976-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709527/Source_distribution_of_neuromagnetic_slow_waves_and_MEG_delta_activity_in_schizophrenic_patients","slug":"Source_distribution_of_neuromagnetic_slow_waves_and_MEG_delta_activity_in_schizophrenic_patients","dom_id":"work_5709527","summary":"Background: Schizophrenic patients exhibit more activity in the electroencephalographic delta and theta frequency range than do control subjects. Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the magnetoencephalogram (MEG), the distribution of its sources, and associations between symptom profiles and sources of low-frequency activity in the brain. Methods: Whole-head MEG recordings were obtained from 28 schizophrenic patients and 20 healthy control subjects during a resting condition. The generators of the focal magnetic slow waves were located employing a single moving dipole model. Distributed or multiple delta and theta sources were captured by the minimum norm estimate. Results: Both localization procedures showed slow wave activity to be enhanced in schizophrenic patients compared with control subjects. Focal slow wave activity differed most between groups in frontotemporal and in posterior regions. Slow wave activity was associated with symptom characteristics in that positive symptoms varied with frontal delta and theta activity. Conclusions: Results indicate that activity in low-frequency bands in schizophrenic patients exceeds the activity of control subjects in distinct areas, and that this focal clustering of neuromagnetic slow waves may be related to psychopathologic characteristics.","publication":"Biological Psychiatry","publication_with_fallback":"Biological 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activity in schizophrenic and depressive patients</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background: Schizophrenic patients exhibit more activity in the electroencephalographic delta and theta frequency range than do control subjects. Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709528" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background: Schizophrenic patients exhibit more activity in the electroencephalographic delta and theta frequency range than do control subjects. Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the magnetoencephalogram (MEG), the distribution of its sources, and associations between symptom profiles and sources of low-frequency activity in the brain. Methods: Whole-head MEG recordings were obtained from 28 schizophrenic patients and 20 healthy control subjects during a resting condition. The generators of the focal magnetic slow waves were located employing a single moving dipole model. Distributed or multiple delta and theta sources were captured by the minimum norm estimate. Results: Both localization procedures showed slow wave activity to be enhanced in schizophrenic patients compared with control subjects. Focal slow wave activity differed most between groups in frontotemporal and in posterior regions. Slow wave activity was associated with symptom characteristics in that positive symptoms varied with frontal delta and theta activity. Conclusions: Results indicate that activity in low-frequency bands in schizophrenic patients exceeds the activity of control subjects in distinct areas, and that this focal clustering of neuromagnetic slow waves may be related to psychopathologic characteristics.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709528" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="98ada7379ed3ece81bcc6ce8d240a0b3" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172296,&quot;asset_id&quot;:5709528,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172296/download_file?st=MTczMzkyMTEwMCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709528 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709528"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709528, container: ".js-paper-rank-work_5709528", }); 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Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the magnetoencephalogram (MEG), the distribution of its sources, and associations between symptom profiles and sources of low-frequency activity in the brain. Methods: Whole-head MEG recordings were obtained from 28 schizophrenic patients and 20 healthy control subjects during a resting condition. The generators of the focal magnetic slow waves were located employing a single moving dipole model. Distributed or multiple delta and theta sources were captured by the minimum norm estimate. Results: Both localization procedures showed slow wave activity to be enhanced in schizophrenic patients compared with control subjects. Focal slow wave activity differed most between groups in frontotemporal and in posterior regions. Slow wave activity was associated with symptom characteristics in that positive symptoms varied with frontal delta and theta activity. Conclusions: Results indicate that activity in low-frequency bands in schizophrenic patients exceeds the activity of control subjects in distinct areas, and that this focal clustering of neuromagnetic slow waves may be related to psychopathologic characteristics.","publication":"Clinical Neurophysiology","publication_with_fallback":"Clinical 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disorders","url":"https://www.academia.edu/Documents/in/Cognition_disorders"},{"id":2463800,"name":"Severity of Illness Index","url":"https://www.academia.edu/Documents/in/Severity_of_Illness_Index"},{"id":2467548,"name":"Neuropsychological Tests","url":"https://www.academia.edu/Documents/in/Neuropsychological_Tests"}],"publication_year":2003,"publication_year_with_fallback":2003,"paper_rank":null,"all_time_views":12,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709530" data-work_id="5709530" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709530/Tinnitus_Perception_and_Distress_Is_Related_to_Abnormal_Spontaneous_Brain_Activity_as_Measured_by_Magnetoencephalography">Tinnitus Perception and Distress Is Related to Abnormal Spontaneous Brain Activity as Measured by Magnetoencephalography</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Here, we show that the spontaneous neuronal activity of a group of individuals with tinnitus (n = 17) is characterised by a marked reduction in alpha (8-12 Hz) power together with an enhancement in delta (1.5-4 Hz) as compared to a normal... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709530" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Here, we show that the spontaneous neuronal activity of a group of individuals with tinnitus (n = 17) is characterised by a marked reduction in alpha (8-12 Hz) power together with an enhancement in delta (1.5-4 Hz) as compared to a normal hearing control group (n = 16). This pattern was especially pronounced for temporal regions. Moreover, correlations with tinnitusrelated distress revealed strong associations with this abnormal spontaneous activity pattern, particularly in right temporal and left frontal areas. Overall, effects were stronger for the alpha than for the delta frequency band. A data stream of 5 min, recorded with a whole-head neuromagnetometer under a resting condition, was sufficient to extract the marked differences.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709530" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5fd92b5d2213c2f719ba09e5bd27cd1f" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172294,&quot;asset_id&quot;:5709530,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172294/download_file?st=MTczMzkyMTEwMCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709530 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709530"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709530, container: ".js-paper-rank-work_5709530", }); 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This pattern was especially pronounced for temporal regions. Moreover, correlations with tinnitusrelated distress revealed strong associations with this abnormal spontaneous activity pattern, particularly in right temporal and left frontal areas. Overall, effects were stronger for the alpha than for the delta frequency band. A data stream of 5 min, recorded with a whole-head neuromagnetometer under a resting condition, was sufficient to extract the marked differences.","publication":"PLOS Medicine","publication_with_fallback":"PLOS 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variables</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709532" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="72379b68168149de30402db0b81b37c2" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172362,&quot;asset_id&quot;:5709532,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" 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Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":1131,"name":"Biomedical Engineering","url":"https://www.academia.edu/Documents/in/Biomedical_Engineering","nofollow":false},{"id":964675,"name":"Alcohol Use","url":"https://www.academia.edu/Documents/in/Alcohol_Use","nofollow":false},{"id":1920615,"name":"Biomedizinische Technik","url":"https://www.academia.edu/Documents/in/Biomedizinische_Technik","nofollow":false}],"publication_year":2001,"publication_year_with_fallback":2001,"paper_rank":null,"all_time_views":6,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709533" data-work_id="5709533" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709533/Source_distribution_of_neuromagnetic_slow_wave_activity_in_schizophrenic_patients_effects_of_activation">Source distribution of neuromagnetic slow-wave activity in schizophrenic patients—effects of activation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background: Schizophrenic patients exhibit more activity in the electroencephalographic delta and theta frequency range than do control subjects. Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709533" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background: Schizophrenic patients exhibit more activity in the electroencephalographic delta and theta frequency range than do control subjects. Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the magnetoencephalogram (MEG), the distribution of its sources, and associations between symptom profiles and sources of low-frequency activity in the brain. Methods: Whole-head MEG recordings were obtained from 28 schizophrenic patients and 20 healthy control subjects during a resting condition. The generators of the focal magnetic slow waves were located employing a single moving dipole model. Distributed or multiple delta and theta sources were captured by the minimum norm estimate. Results: Both localization procedures showed slow wave activity to be enhanced in schizophrenic patients compared with control subjects. Focal slow wave activity differed most between groups in frontotemporal and in posterior regions. Slow wave activity was associated with symptom characteristics in that positive symptoms varied with frontal delta and theta activity. Conclusions: Results indicate that activity in low-frequency bands in schizophrenic patients exceeds the activity of control subjects in distinct areas, and that this focal clustering of neuromagnetic slow waves may be related to psychopathologic characteristics.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709533" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5b564b2e4185e795c547fac120ac785f" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172293,&quot;asset_id&quot;:5709533,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172293/download_file?st=MTczMzkyMTEwMCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709533 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709533"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709533, container: ".js-paper-rank-work_5709533", }); 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Using magnetic source imaging (MSI) our study aimed to explore this phenomenon in the magnetoencephalogram (MEG), the distribution of its sources, and associations between symptom profiles and sources of low-frequency activity in the brain. Methods: Whole-head MEG recordings were obtained from 28 schizophrenic patients and 20 healthy control subjects during a resting condition. The generators of the focal magnetic slow waves were located employing a single moving dipole model. Distributed or multiple delta and theta sources were captured by the minimum norm estimate. Results: Both localization procedures showed slow wave activity to be enhanced in schizophrenic patients compared with control subjects. Focal slow wave activity differed most between groups in frontotemporal and in posterior regions. Slow wave activity was associated with symptom characteristics in that positive symptoms varied with frontal delta and theta activity. Conclusions: Results indicate that activity in low-frequency bands in schizophrenic patients exceeds the activity of control subjects in distinct areas, and that this focal clustering of neuromagnetic slow waves may be related to psychopathologic characteristics.","publication":"Schizophrenia Research","publication_with_fallback":"Schizophrenia Research","downloadable_attachments":[{"id":49172293,"asset_id":5709533,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172293/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172293/Source_distribution_of_neuromagnetic_slo20160927-1090-7ga8f6-libre.pdf?1475041405=\u0026response-content-disposition=attachment%3B+filename%3DSource_distribution_of_neuromagnetic_slo.pdf\u0026Expires=1733924700\u0026Signature=d~N4CngFvuGbx7lRLb1aySFOG6clTfbfFYjGM9dKkxkDUXT64tvb8S50T0n3J0t3ADvtXRxQZdmKCQ3JoeUKRtyExyoT2wkakzqdP4II2PQsYkDG17J-6BZ6HBpmRFxiR2OqQDBHoP2tNqXBYDLH1llOqMzN9vEHBMb3CqJWq8Sg2heq~7X6nxTY9TxQYaYaDN6gCVaRiyI-Q7GQLl8b1tI8stgrNZ4~noGeJ3RS9D7IZnCNxp1UqQIQeqqnIuH-glwXDVSYlNZAEqnG7JiQX2~aunu79aBagdLRuxJs2yDO-V0Nyq9gXcpZMg85YIL3PEFNxUaKR9P6KN-lFvUMWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172293/download_file?st=MTczMzkyMTEwMCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172293/mini_magick20190201-17884-76kly0.png?1549039527"}],"downloadable_attachments_with_full_thumbnails":[{"id":49172293,"asset_id":5709533,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/49172293/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/49172293/Source_distribution_of_neuromagnetic_slo20160927-1090-7ga8f6-libre.pdf?1475041405=\u0026response-content-disposition=attachment%3B+filename%3DSource_distribution_of_neuromagnetic_slo.pdf\u0026Expires=1733924700\u0026Signature=d~N4CngFvuGbx7lRLb1aySFOG6clTfbfFYjGM9dKkxkDUXT64tvb8S50T0n3J0t3ADvtXRxQZdmKCQ3JoeUKRtyExyoT2wkakzqdP4II2PQsYkDG17J-6BZ6HBpmRFxiR2OqQDBHoP2tNqXBYDLH1llOqMzN9vEHBMb3CqJWq8Sg2heq~7X6nxTY9TxQYaYaDN6gCVaRiyI-Q7GQLl8b1tI8stgrNZ4~noGeJ3RS9D7IZnCNxp1UqQIQeqqnIuH-glwXDVSYlNZAEqnG7JiQX2~aunu79aBagdLRuxJs2yDO-V0Nyq9gXcpZMg85YIL3PEFNxUaKR9P6KN-lFvUMWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/49172293/download_file?st=MTczMzkyMTEwMCw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/49172293/mini_magick20190201-17884-76kly0.png?1549039527"}],"has_pdf":true,"has_fulltext":true,"page_count":9,"ordered_authors":[{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering","nofollow":false},{"id":3217,"name":"Depression","url":"https://www.academia.edu/Documents/in/Depression","nofollow":false},{"id":3227,"name":"Schizophrenia","url":"https://www.academia.edu/Documents/in/Schizophrenia","nofollow":false},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false},{"id":10904,"name":"Electroencephalography","url":"https://www.academia.edu/Documents/in/Electroencephalography"},{"id":23890,"name":"Comparative Study","url":"https://www.academia.edu/Documents/in/Comparative_Study"},{"id":30372,"name":"Low Frequency","url":"https://www.academia.edu/Documents/in/Low_Frequency"},{"id":47884,"name":"Biological 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disorders","url":"https://www.academia.edu/Documents/in/Cognition_disorders"},{"id":2463800,"name":"Severity of Illness Index","url":"https://www.academia.edu/Documents/in/Severity_of_Illness_Index"},{"id":2467548,"name":"Neuropsychological Tests","url":"https://www.academia.edu/Documents/in/Neuropsychological_Tests"}],"publication_year":2003,"publication_year_with_fallback":2003,"paper_rank":null,"all_time_views":20,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_5709534" data-work_id="5709534" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709534/Age_related_occipito_temporal_hypoactivation_during_visual_search_Relationships_between_mN2pc_sources_and_performance">Age-related occipito-temporal hypoactivation during visual search: Relationships between mN2pc sources and performance</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Recently, an event-related potential (ERP) study provided evidence that normal aging significantly delays and attenuates the electrophysiological correlate of the allocation of visuospatial attention (N2pc component) during a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709534" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Recently, an event-related potential (ERP) study provided evidence that normal aging significantly delays and attenuates the electrophysiological correlate of the allocation of visuospatial attention (N2pc component) during a feature-detection visual search task. To further explore the effects of normal aging on the N2pc neural sources, neuromagnetic activity during the execution of a visual search task was recorded in healthy young (N = 14) and older (N = 20) participants by using magnetoencephalography (MEG). The possible relationships between these neural sources and overt performance were explored by assessing the co-variation between the neural N2pc activity and both the task performance and the execution in the Trail Making Test Form A (TMT-A). Results revealed that young participants showed greater activity in occipito-temporal regions than older participants during the mN2pc (magnetic counterpart of the N2pc component) latency range (190-270 ms). Moreover, older participants showed reduced relative activation in the right occipito-temporal source of mN2pc. These findings suggest that the previously observed age-related changes in N2pc parameters are associated with a significant hypoactivation of occipito-temporal N2pc sources that is more marked in the right hemisphere.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709534" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fc72626ebf2fb3e75ed995ce0edd746d" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172292,&quot;asset_id&quot;:5709534,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172292/download_file?st=MTczMzkyMTEwMCw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709534 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709534"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709534, container: ".js-paper-rank-work_5709534", }); 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$(".js-view-count[data-work-id=5709534]").text(description); $(".js-view-count-work_5709534").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709534").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709534"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">30</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="221" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>,&nbsp;<script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="237" href="https://www.academia.edu/Documents/in/Cognitive_Science">Cognitive Science</a>,&nbsp;<script data-card-contents-for-ri="237" type="text/json">{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="867" href="https://www.academia.edu/Documents/in/Perception">Perception</a>,&nbsp;<script data-card-contents-for-ri="867" type="text/json">{"id":867,"name":"Perception","url":"https://www.academia.edu/Documents/in/Perception","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4212" href="https://www.academia.edu/Documents/in/Cognition">Cognition</a><script data-card-contents-for-ri="4212" type="text/json">{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709534]'), work: {"id":5709534,"title":"Age-related occipito-temporal hypoactivation during visual search: Relationships between mN2pc sources and performance","created_at":"2014-01-13T23:32:11.155-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709534/Age_related_occipito_temporal_hypoactivation_during_visual_search_Relationships_between_mN2pc_sources_and_performance","slug":"Age_related_occipito_temporal_hypoactivation_during_visual_search_Relationships_between_mN2pc_sources_and_performance","dom_id":"work_5709534","summary":"Recently, an event-related potential (ERP) study provided evidence that normal aging significantly delays and attenuates the electrophysiological correlate of the allocation of visuospatial attention (N2pc component) during a feature-detection visual search task. To further explore the effects of normal aging on the N2pc neural sources, neuromagnetic activity during the execution of a visual search task was recorded in healthy young (N = 14) and older (N = 20) participants by using magnetoencephalography (MEG). The possible relationships between these neural sources and overt performance were explored by assessing the co-variation between the neural N2pc activity and both the task performance and the execution in the Trail Making Test Form A (TMT-A). Results revealed that young participants showed greater activity in occipito-temporal regions than older participants during the mN2pc (magnetic counterpart of the N2pc component) latency range (190-270 ms). Moreover, older participants showed reduced relative activation in the right occipito-temporal source of mN2pc. These findings suggest that the previously observed age-related changes in N2pc parameters are associated with a significant hypoactivation of occipito-temporal N2pc sources that is more marked in the right 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u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/5709536/Oscillatory_activity_in_prefrontal_and_posterior_regions_during_implicit_letter_location_binding">Oscillatory activity in prefrontal and posterior regions during implicit letter-location binding</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Many cognitive abilities involve the integration of information from different modalities, a process referred to as &quot;binding.&quot; It remains less clear, however, whether the creation of bound representations occurs in an involuntary manner,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_5709536" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Many cognitive abilities involve the integration of information from different modalities, a process referred to as &quot;binding.&quot; It remains less clear, however, whether the creation of bound representations occurs in an involuntary manner, and whether the links between the constituent features of an object are symmetrical. We used magnetoencephalography to investigate whether oscillatory brain activity related to binding processes would be observed in conditions in which participants maintain one feature only (involuntary binding); and whether this activity varies as a function of the feature attended to by participants (binding asymmetry). Participants performed two probe recognition tasks that were identical in terms of their perceptual characteristics and only differed with respect to the instructions given (to memorize either consonants or locations). MEG data were reconstructed using a current source distribution estimation in the classical frequency bands. We observed implicit verbal-spatial binding only when participants successfully maintained the identity of consonants, which was associated with a selective increase in oscillatory activity over prefrontal regions in all frequency bands during the first half of the retention period and accompanied by increased activity in posterior brain regions. The increase in oscillatory activity in prefrontal areas was only observed during the verbal task, which suggests that this activity might be signaling neural processes specifically involved in cross-code binding. Current results are in agreement with proposals suggesting that the prefrontal cortex function as a &quot;pointer&quot; which indexes the features that belong together within an object.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/5709536" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b5a8ef31c1921da5f9054c1ce96aff37" rel="nofollow" data-download="{&quot;attachment_id&quot;:49172283,&quot;asset_id&quot;:5709536,&quot;asset_type&quot;:&quot;Work&quot;,&quot;always_allow_download&quot;:false,&quot;track&quot;:null,&quot;button_location&quot;:&quot;work_strip&quot;,&quot;source&quot;:null,&quot;hide_modal&quot;:null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49172283/download_file?st=MTczMzkyMTEwMSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by&nbsp;<span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="8275121" href="https://ucm.academia.edu/StephanMoratti">Stephan Moratti</a><script data-card-contents-for-user="8275121" type="text/json">{"id":8275121,"first_name":"Stephan","last_name":"Moratti","domain_name":"ucm","page_name":"StephanMoratti","display_name":"Stephan Moratti","profile_url":"https://ucm.academia.edu/StephanMoratti","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_5709536 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="5709536"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 5709536, container: ".js-paper-rank-work_5709536", }); 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$(".js-view-count[data-work-id=5709536]").text(description); $(".js-view-count-work_5709536").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_5709536").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="5709536"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>&nbsp;&nbsp;<a class="InlineList-item-text u-positionRelative">9</a>&nbsp;&nbsp;</div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="4212" href="https://www.academia.edu/Documents/in/Cognition">Cognition</a>,&nbsp;<script data-card-contents-for-ri="4212" type="text/json">{"id":4212,"name":"Cognition","url":"https://www.academia.edu/Documents/in/Cognition","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5356" href="https://www.academia.edu/Documents/in/Magnetoencephalography">Magnetoencephalography</a>,&nbsp;<script data-card-contents-for-ri="5356" type="text/json">{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="28576" href="https://www.academia.edu/Documents/in/Prefrontal_Cortex">Prefrontal Cortex</a>,&nbsp;<script data-card-contents-for-ri="28576" type="text/json">{"id":28576,"name":"Prefrontal Cortex","url":"https://www.academia.edu/Documents/in/Prefrontal_Cortex","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="52176" href="https://www.academia.edu/Documents/in/Brain_Mapping">Brain Mapping</a><script data-card-contents-for-ri="52176" type="text/json">{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=5709536]'), work: {"id":5709536,"title":"Oscillatory activity in prefrontal and posterior regions during implicit letter-location binding","created_at":"2014-01-13T23:32:12.239-08:00","owner_id":8275121,"url":"https://www.academia.edu/5709536/Oscillatory_activity_in_prefrontal_and_posterior_regions_during_implicit_letter_location_binding","slug":"Oscillatory_activity_in_prefrontal_and_posterior_regions_during_implicit_letter_location_binding","dom_id":"work_5709536","summary":"Many cognitive abilities involve the integration of information from different modalities, a process referred to as \"binding.\" It remains less clear, however, whether the creation of bound representations occurs in an involuntary manner, and whether the links between the constituent features of an object are symmetrical. 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