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data-dom-id="Pill-react-component-2b42a7d5-c790-4b45-ad74-05057b69ca74"></div> <div id="Pill-react-component-2b42a7d5-c790-4b45-ad74-05057b69ca74"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="36345490" href="https://www.academia.edu/Documents/in/Computer_Simulation"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Computer Simulation"]}" data-trace="false" data-dom-id="Pill-react-component-472734cb-a22b-47b9-ae44-01f462972396"></div> <div id="Pill-react-component-472734cb-a22b-47b9-ae44-01f462972396"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="36345490" href="https://www.academia.edu/Documents/in/Functional_MRI"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Functional MRI"]}" data-trace="false" 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data-dom-id="Pill-react-component-5e34072f-331f-4b57-896f-3ec5046fdb7e"></div> <div id="Pill-react-component-5e34072f-331f-4b57-896f-3ec5046fdb7e"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Antti Korvenoja</h3></div><div class="js-work-strip profile--work_container" data-work-id="16962822"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962822/MODULATION_OF_SOMATOSENSORY_EVOKED_FIELDS_DUE_TO_REPETITIVE_NERVE_STIMULATION"><img alt="Research paper thumbnail of MODULATION OF SOMATOSENSORY EVOKED FIELDS DUE TO REPETITIVE NERVE STIMULATION" class="work-thumbnail" src="https://attachments.academia-assets.com/39279949/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962822/MODULATION_OF_SOMATOSENSORY_EVOKED_FIELDS_DUE_TO_REPETITIVE_NERVE_STIMULATION">MODULATION OF SOMATOSENSORY EVOKED FIELDS DUE TO REPETITIVE NERVE STIMULATION</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The adult mammalian nervous system has the ability to reorganize itself in an activity- dependent...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The adult mammalian nervous system has the ability to reorganize itself in an activity- dependent manner. The aim of this study was to investigate the influence of short-term repetitive electrical stimulation (rES, training session) on somatosensory evoked fields (SEF) as recorded with MEG. 6 healthy subjects were investigated, including 1 control. The SEFs were recorded right before the training, immediately after it, and after 25 min. Left median /3 subjects/ and right median /2 subjects/ nerve (MN) were stimulated. The interstimulus interval was 3 sec, the stimulus intensity was set to 1.3 times motor threshold of APB muscle. The training session consisted of a burst of 5 pulses with a frequency of 200 Hz, repeated every sec. for a duration of 30 min; the intensity of the stimulation was set to 2 times the motor threshold. The following SEF components were analyzed: N20m, P35m and P60m (responses in the primary somatosensory SI- area), as well as responses in the secondary somato...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fec14495e3c19b4b3596a86f786ef9f4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279949,"asset_id":16962822,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279949/download_file?st=MTczMjM5NDcxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962822"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962822"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962822; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962822]").text(description); $(".js-view-count[data-work-id=16962822]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962822; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962822']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962822, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fec14495e3c19b4b3596a86f786ef9f4" } } $('.js-work-strip[data-work-id=16962822]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962822,"title":"MODULATION OF SOMATOSENSORY EVOKED FIELDS DUE TO REPETITIVE NERVE STIMULATION","translated_title":"","metadata":{"abstract":"The adult mammalian nervous system has the ability to reorganize itself in an activity- dependent manner. The aim of this study was to investigate the influence of short-term repetitive electrical stimulation (rES, training session) on somatosensory evoked fields (SEF) as recorded with MEG. 6 healthy subjects were investigated, including 1 control. The SEFs were recorded right before the training, immediately after it, and after 25 min. Left median /3 subjects/ and right median /2 subjects/ nerve (MN) were stimulated. The interstimulus interval was 3 sec, the stimulus intensity was set to 1.3 times motor threshold of APB muscle. The training session consisted of a burst of 5 pulses with a frequency of 200 Hz, repeated every sec. for a duration of 30 min; the intensity of the stimulation was set to 2 times the motor threshold. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962821"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962821/Functional_MRI_as_a_constraint_in_multi_dipole_models_of_MEG_data"><img alt="Research paper thumbnail of Functional MRI as a constraint in multi-dipole models of MEG data" class="work-thumbnail" src="https://attachments.academia-assets.com/39279948/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962821/Functional_MRI_as_a_constraint_in_multi_dipole_models_of_MEG_data">Functional MRI as a constraint in multi-dipole models of MEG data</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The use of physiologicalconstraints in the solution of the inverse problem of brain electromagnet...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The use of physiologicalconstraints in the solution of the inverse problem of brain electromagnetic fields has received increasing attention in recent years. A priori information is needed to constrain the solution of the electromagnetic inverse problem; other imaging modalities, such as fMRI, can provide information of this kind. The goal is to combine complementary,information from different imaging modalities and</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3ffcdd2b823a065b538172d8e7b1edcc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279948,"asset_id":16962821,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279948/download_file?st=MTczMjM5NDcxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962821"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962821"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962821; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962821]").text(description); $(".js-view-count[data-work-id=16962821]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962821; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962821']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962821, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3ffcdd2b823a065b538172d8e7b1edcc" } } $('.js-work-strip[data-work-id=16962821]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962821,"title":"Functional MRI as a constraint in multi-dipole models of MEG data","translated_title":"","metadata":{"abstract":"The use of physiologicalconstraints in the solution of the inverse problem of brain electromagnetic fields has received increasing attention in recent years. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962820"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962820/Statistical_Segmentation_of_fMRI_Activations_Using_Contextual_Clustering"><img alt="Research paper thumbnail of Statistical Segmentation of fMRI Activations Using Contextual Clustering" class="work-thumbnail" src="https://attachments.academia-assets.com/39279951/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962820/Statistical_Segmentation_of_fMRI_Activations_Using_Contextual_Clustering">Statistical Segmentation of fMRI Activations Using Contextual Clustering</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 1999</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9ccfdd92b34425932e6e2b7a09800fc5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279951,"asset_id":16962820,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279951/download_file?st=MTczMjM5NDcxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962820"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962820"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962820; 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Often this goal is achieved by computing a statistical parametric map (SPM) and thresholding it. Cluster-size thresholds are also used. A new contextual segmentation method based on clustering is presented in this paper. If the SPM value of a voxel, adjusted with neighborhood information, differs from the expected non-activation value more than a specified decision value, the contextual clustering algorithm classifies the voxel to the activation class, otherwise to the non-activation class. The voxel-wise thresholding, cluster-size thresholding and contextual clustering are compared using fixed overall specificity. Generally, the contextual clustering detects activations with higher probability than the voxel-wise thresholding. Unlike cluster-size thresholding, contextual clustering is able to detect extremely small area activations, too. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962818"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962818/_Functional_imaging_of_brain_tumors_"><img alt="Research paper thumbnail of [Functional imaging of brain tumors]" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962818/_Functional_imaging_of_brain_tumors_">[Functional imaging of brain tumors]</a></div><div class="wp-workCard_item"><span>Duodecim; l盲盲ketieteellinen aikakauskirja</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (MR), are of immeasurable assistance in the diagnosis and characterization of primary intracranial tumors. Factors which can be accurately deduced via these techniques includes the location, size, mass effect and edema associated with brain tumors; usually a differential diagnosis of tumor type can be generated based on characteristics on CT and MR imaging. However, factors relating to the growth potential of brain tumors cannot be elucidated with standard imaging techniques alone. Functional imaging techniques may provide the information necessary for accurate analysis of brain tumor behavior before and after therapy. There is a well- known association between the regional supply of energy substrates to the brain in accordance to its metabolic needs. This relationship has been exploited in the development of techniques which measure regional brain activity in qualitative and quantitative terms so that we may better understand cerebral function in normal and disease processes. Of particular importance is the need to determine the presence of residual or recurrent tumor after therapy. The present treatment of high-grade astro- cytomas (anaplastic astrocytomas or glioblastoma multiforme) consists of tumor debulking followed by high-energy local radiotherapy. These treatments are designed to deposit very high radiation doses within the tumor mass while minimizing damage to the adjacent neuropil. Nevertheless, radiation-induced reactive change and gliosis (radiation necrosis) may occur in otherwise healthy tissue within weeks to months after radiotherapy. This condition is manifested by expanding masses with peripheral enhancement and central necrosis, surrounded by edema, in the region of the treated tumor which mimics recurrent tumor growth clinically and by standard radiographic techniques. Furthermore, in patients with recurrence, the tumor cell density correlates with aggressiveness of tumor regrowth and therefore patient prog- nosis, but this also cannot be elucidated on standard imaging techniques. The</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962818"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962818"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962818; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962818]").text(description); $(".js-view-count[data-work-id=16962818]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962818; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962818']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962818, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16962818]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962818,"title":"[Functional imaging of brain tumors]","translated_title":"","metadata":{"abstract":"ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (MR), are of immeasurable assistance in the diagnosis and characterization of primary intracranial tumors. Factors which can be accurately deduced via these techniques includes the location, size, mass effect and edema associated with brain tumors; usually a differential diagnosis of tumor type can be generated based on characteristics on CT and MR imaging. However, factors relating to the growth potential of brain tumors cannot be elucidated with standard imaging techniques alone. Functional imaging techniques may provide the information necessary for accurate analysis of brain tumor behavior before and after therapy. There is a well- known association between the regional supply of energy substrates to the brain in accordance to its metabolic needs. This relationship has been exploited in the development of techniques which measure regional brain activity in qualitative and quantitative terms so that we may better understand cerebral function in normal and disease processes. Of particular importance is the need to determine the presence of residual or recurrent tumor after therapy. The present treatment of high-grade astro- cytomas (anaplastic astrocytomas or glioblastoma multiforme) consists of tumor debulking followed by high-energy local radiotherapy. These treatments are designed to deposit very high radiation doses within the tumor mass while minimizing damage to the adjacent neuropil. Nevertheless, radiation-induced reactive change and gliosis (radiation necrosis) may occur in otherwise healthy tissue within weeks to months after radiotherapy. This condition is manifested by expanding masses with peripheral enhancement and central necrosis, surrounded by edema, in the region of the treated tumor which mimics recurrent tumor growth clinically and by standard radiographic techniques. Furthermore, in patients with recurrence, the tumor cell density correlates with aggressiveness of tumor regrowth and therefore patient prog- nosis, but this also cannot be elucidated on standard imaging techniques. The","publication_date":{"day":null,"month":null,"year":2000,"errors":{}},"publication_name":"Duodecim; l盲盲ketieteellinen aikakauskirja"},"translated_abstract":"ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (MR), are of immeasurable assistance in the diagnosis and characterization of primary intracranial tumors. Factors which can be accurately deduced via these techniques includes the location, size, mass effect and edema associated with brain tumors; usually a differential diagnosis of tumor type can be generated based on characteristics on CT and MR imaging. However, factors relating to the growth potential of brain tumors cannot be elucidated with standard imaging techniques alone. Functional imaging techniques may provide the information necessary for accurate analysis of brain tumor behavior before and after therapy. There is a well- known association between the regional supply of energy substrates to the brain in accordance to its metabolic needs. This relationship has been exploited in the development of techniques which measure regional brain activity in qualitative and quantitative terms so that we may better understand cerebral function in normal and disease processes. Of particular importance is the need to determine the presence of residual or recurrent tumor after therapy. The present treatment of high-grade astro- cytomas (anaplastic astrocytomas or glioblastoma multiforme) consists of tumor debulking followed by high-energy local radiotherapy. These treatments are designed to deposit very high radiation doses within the tumor mass while minimizing damage to the adjacent neuropil. Nevertheless, radiation-induced reactive change and gliosis (radiation necrosis) may occur in otherwise healthy tissue within weeks to months after radiotherapy. This condition is manifested by expanding masses with peripheral enhancement and central necrosis, surrounded by edema, in the region of the treated tumor which mimics recurrent tumor growth clinically and by standard radiographic techniques. Furthermore, in patients with recurrence, the tumor cell density correlates with aggressiveness of tumor regrowth and therefore patient prog- nosis, but this also cannot be elucidated on standard imaging techniques. The","internal_url":"https://www.academia.edu/16962818/_Functional_imaging_of_brain_tumors_","translated_internal_url":"","created_at":"2015-10-18T12:51:11.569-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"_Functional_imaging_of_brain_tumors_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[],"research_interests":[{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":21732,"name":"Magnetic Resonance Spectroscopy","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Spectroscopy"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":203765,"name":"Diagnostic Imaging","url":"https://www.academia.edu/Documents/in/Diagnostic_Imaging"},{"id":1425045,"name":"Brain Neoplasms","url":"https://www.academia.edu/Documents/in/Brain_Neoplasms"},{"id":1944553,"name":"Magnetic resonance angiography","url":"https://www.academia.edu/Documents/in/Magnetic_resonance_angiography"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16700203"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16700203/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI"><img alt="Research paper thumbnail of Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI" class="work-thumbnail" src="https://attachments.academia-assets.com/39126961/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16700203/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI">Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SimpsonGregory">Gregory Simpson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RTootell">R. Tootell</a></span></div><div class="wp-workCard_item"><span>Journal of neurophysiology</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A sudden change in the direction of motion is a particularly salient and relevant feature of visu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A sudden change in the direction of motion is a particularly salient and relevant feature of visual information. Extensive research has identified cortical areas responsive to visual motion and characterized their sensitivity to different features of motion, such as directional specificity. However, relatively little is known about responses to sudden changes in direction. Electrophysiological data from animals and functional imaging data from humans suggest a number of brain areas responsive to motion, presumably working as a network. Temporal patterns of activity allow the same network to process information in different ways. The present study in humans sought to determine which motion-sensitive areas are involved in processing changes in the direction of motion and to characterize the temporal patterns of processing within this network of brain regions. To accomplish this, we used both magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). The fMRI data w...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="310963f60c5d8edde31c5d5702bfc946" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39126961,"asset_id":16700203,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39126961/download_file?st=MTczMjM5NDcxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16700203"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16700203"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16700203; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16700203]").text(description); $(".js-view-count[data-work-id=16700203]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16700203; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16700203']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16700203, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "310963f60c5d8edde31c5d5702bfc946" } } $('.js-work-strip[data-work-id=16700203]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16700203,"title":"Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI","translated_title":"","metadata":{"abstract":"A sudden change in the direction of motion is a particularly salient and relevant feature of visual information. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16700200"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16700200/Spatiotemporal_imaging_of_human_cortical_areas_selective_to_visual_motion"><img alt="Research paper thumbnail of Spatiotemporal imaging of human cortical areas selective to visual motion" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16700200/Spatiotemporal_imaging_of_human_cortical_areas_selective_to_visual_motion">Spatiotemporal imaging of human cortical areas selective to visual motion</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SimpsonGregory">Gregory Simpson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RTootell">R. Tootell</a></span></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 1996</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16700200"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16700200"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16700200; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16700200]").text(description); $(".js-view-count[data-work-id=16700200]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16700200; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16700200']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16700200, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16700200]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16700200,"title":"Spatiotemporal imaging of human cortical areas selective to visual motion","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":1996,"errors":{}},"publication_name":"NeuroImage"},"translated_abstract":null,"internal_url":"https://www.academia.edu/16700200/Spatiotemporal_imaging_of_human_cortical_areas_selective_to_visual_motion","translated_internal_url":"","created_at":"2015-10-12T08:43:27.276-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36083888,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7104776,"work_id":16700200,"tagging_user_id":36083888,"tagged_user_id":32342049,"co_author_invite_id":null,"email":"a***e@gmail.com","affiliation":"University of California, San Diego","display_order":0,"name":"Anders Dale","title":"Spatiotemporal imaging of human cortical areas selective to visual motion"},{"id":7104785,"work_id":16700200,"tagging_user_id":36083888,"tagged_user_id":null,"co_author_invite_id":394187,"email":"s***o@nmr.mgh.harvard.edu","display_order":4194304,"name":"S. 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Possible effects of the interstimulus interval (ISI) on point localization threshold have not been previously examined. In the present set of experiments the effect of time delay on somatosensory point localization was studied using ISIs of 1, 3, 5, 7, and 9 s, and applying a newly developed computer-controlled application method of a Semmes-Weinstein monofilament. It was found that the point localization threshold was not significantly affected by the ISI length. 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Possible effects of the interstimulus interval (ISI) on point localization threshold have not been previously examined. In the present set of experiments the effect of time delay on somatosensory point localization was studied using ISIs of 1, 3, 5, 7, and 9 s, and applying a newly developed computer-controlled application method of a Semmes-Weinstein monofilament. It was found that the point localization threshold was not significantly affected by the ISI length. However, the response time was shorter and response accuracy better at the shorter (1 and 3 s) than at the longer (5, 7, and 9 s) ISIs, suggesting a change in the mechanism underlying point localization decision criteria in ISIs longer than 3 s.","publication_date":{"day":null,"month":null,"year":2004,"errors":{}},"publication_name":"Somatosensory \u0026 Motor Research"},"translated_abstract":"Somatosensory point localization is a clinical test evaluating spatial accuracy of the somatosensory system. 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However, the response time was shorter and response accuracy better at the shorter (1 and 3 s) than at the longer (5, 7, and 9 s) ISIs, suggesting a change in the mechanism underlying point localization decision criteria in ISIs longer than 3 s.","internal_url":"https://www.academia.edu/16873097/The_effect_of_interstimulus_interval_on_somatosensory_point_localization","translated_internal_url":"","created_at":"2015-10-16T06:23:02.686-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345949,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7359473,"work_id":16873097,"tagging_user_id":36345949,"tagged_user_id":null,"co_author_invite_id":679811,"email":"s***s@cc.helsinki.fi","display_order":0,"name":"Synn枚ve Carlson","title":"The effect of interstimulus interval on somatosensory point localization"},{"id":7359529,"work_id":16873097,"tagging_user_id":36345949,"tagged_user_id":36345490,"co_author_invite_id":null,"email":"a***a@helsinki.fi","display_order":4194304,"name":"Antti Korvenoja","title":"The effect of interstimulus interval on somatosensory point localization"},{"id":7359547,"work_id":16873097,"tagging_user_id":36345949,"tagged_user_id":759050,"co_author_invite_id":null,"email":"j***o@uta.fi","affiliation":"University of Helsinki","display_order":6291456,"name":"Juha Koivisto","title":"The effect of interstimulus interval on somatosensory point localization"}],"downloadable_attachments":[],"slug":"The_effect_of_interstimulus_interval_on_somatosensory_point_localization","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345949,"first_name":"Antti","middle_initials":null,"last_name":"Pertovaara","page_name":"AnttiPertovaara","domain_name":"independent","created_at":"2015-10-16T06:16:25.539-07:00","display_name":"Antti Pertovaara","url":"https://independent.academia.edu/AnttiPertovaara"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":86150,"name":"Touch","url":"https://www.academia.edu/Documents/in/Touch"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":99089,"name":"Motor","url":"https://www.academia.edu/Documents/in/Motor"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":162553,"name":"Skin","url":"https://www.academia.edu/Documents/in/Skin"},{"id":295155,"name":"Middle Aged","url":"https://www.academia.edu/Documents/in/Middle_Aged"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":500368,"name":"Hand","url":"https://www.academia.edu/Documents/in/Hand"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962814"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962814/Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1"><img alt="Research paper thumbnail of Sensorimotor Cortex Localization: Comparison of Magnetoencephalography, Functional MR Imaging, and Intraoperative Cortical Mapping 1" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962814/Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1">Sensorimotor Cortex Localization: Comparison of Magnetoencephalography, Functional MR Imaging, and Intraoperative Cortical Mapping 1</a></div><div class="wp-workCard_item"><span>Radiology</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) ima...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) imaging, as compared with intraoperative cortical mapping, for identification of the central sulcus. Fifteen patients (six men, nine women; age range, 25-58 years) with a lesion near the primary sensorimotor cortex (13 gliomas, one cavernous hemangioma, and one meningioma) were examined after institutional review board approval and written informed consent from each patient were obtained. At MEG, evoked magnetic fields to median nerve stimulation were recorded; at functional MR imaging, hemodynamic responses to self-paced palmar flexion of the wrist were imaged. General linear model analysis with contextual clustering (P &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; .01) was used to analyze functional MR imaging data, and dipole modeling was used to analyze MEG data. MEG and functional MR localizations were compared with intraoperative cortical mappings. The distance from the area of functional MR imaging activation to the tumor margin was compared between the patients with discordant and those with concordant intraoperative mapping findings by using unpaired t testing. MEG depicted the central sulcus correctly in all 15 patients, as verified at intraoperative mapping. The functional MR imaging localization results agreed with the intraoperative mappings in 11 patients. In all four patients with a false localization, the primary activation was in the postcentral sulcus region, but it did not differ significantly from the primary activation in the patients with correct localization with respect to proximity to the tumor (P = .38). Furthermore, at functional MR imaging, multiple nonprimary areas were activated, with considerable interindividual variation. Although both MEG and functional MR imaging can provide useful information for neurosurgical planning, in the present study, MEG proved to be superior for locating the central sulcus. Activation of multiple nonprimary cerebral areas may confound the interpretation of functional MR imaging results.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962814"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962814"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962814; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962814]").text(description); $(".js-view-count[data-work-id=16962814]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962814; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962814']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962814, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16962814]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962814,"title":"Sensorimotor Cortex Localization: Comparison of Magnetoencephalography, Functional MR Imaging, and Intraoperative Cortical Mapping 1","translated_title":"","metadata":{"abstract":"To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) imaging, as compared with intraoperative cortical mapping, for identification of the central sulcus. Fifteen patients (six men, nine women; age range, 25-58 years) with a lesion near the primary sensorimotor cortex (13 gliomas, one cavernous hemangioma, and one meningioma) were examined after institutional review board approval and written informed consent from each patient were obtained. At MEG, evoked magnetic fields to median nerve stimulation were recorded; at functional MR imaging, hemodynamic responses to self-paced palmar flexion of the wrist were imaged. General linear model analysis with contextual clustering (P \u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; .01) was used to analyze functional MR imaging data, and dipole modeling was used to analyze MEG data. MEG and functional MR localizations were compared with intraoperative cortical mappings. The distance from the area of functional MR imaging activation to the tumor margin was compared between the patients with discordant and those with concordant intraoperative mapping findings by using unpaired t testing. MEG depicted the central sulcus correctly in all 15 patients, as verified at intraoperative mapping. The functional MR imaging localization results agreed with the intraoperative mappings in 11 patients. In all four patients with a false localization, the primary activation was in the postcentral sulcus region, but it did not differ significantly from the primary activation in the patients with correct localization with respect to proximity to the tumor (P = .38). Furthermore, at functional MR imaging, multiple nonprimary areas were activated, with considerable interindividual variation. Although both MEG and functional MR imaging can provide useful information for neurosurgical planning, in the present study, MEG proved to be superior for locating the central sulcus. Activation of multiple nonprimary cerebral areas may confound the interpretation of functional MR imaging results.","publication_date":{"day":null,"month":null,"year":2006,"errors":{}},"publication_name":"Radiology"},"translated_abstract":"To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) imaging, as compared with intraoperative cortical mapping, for identification of the central sulcus. Fifteen patients (six men, nine women; age range, 25-58 years) with a lesion near the primary sensorimotor cortex (13 gliomas, one cavernous hemangioma, and one meningioma) were examined after institutional review board approval and written informed consent from each patient were obtained. At MEG, evoked magnetic fields to median nerve stimulation were recorded; at functional MR imaging, hemodynamic responses to self-paced palmar flexion of the wrist were imaged. General linear model analysis with contextual clustering (P \u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; .01) was used to analyze functional MR imaging data, and dipole modeling was used to analyze MEG data. MEG and functional MR localizations were compared with intraoperative cortical mappings. The distance from the area of functional MR imaging activation to the tumor margin was compared between the patients with discordant and those with concordant intraoperative mapping findings by using unpaired t testing. MEG depicted the central sulcus correctly in all 15 patients, as verified at intraoperative mapping. The functional MR imaging localization results agreed with the intraoperative mappings in 11 patients. In all four patients with a false localization, the primary activation was in the postcentral sulcus region, but it did not differ significantly from the primary activation in the patients with correct localization with respect to proximity to the tumor (P = .38). Furthermore, at functional MR imaging, multiple nonprimary areas were activated, with considerable interindividual variation. Although both MEG and functional MR imaging can provide useful information for neurosurgical planning, in the present study, MEG proved to be superior for locating the central sulcus. Activation of multiple nonprimary cerebral areas may confound the interpretation of functional MR imaging results.","internal_url":"https://www.academia.edu/16962814/Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1","translated_internal_url":"","created_at":"2015-10-18T12:51:11.057-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[],"research_interests":[{"id":640,"name":"Radiology","url":"https://www.academia.edu/Documents/in/Radiology"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":153836,"name":"Motor Cortex","url":"https://www.academia.edu/Documents/in/Motor_Cortex"},{"id":277717,"name":"Somatosensory Cortex","url":"https://www.academia.edu/Documents/in/Somatosensory_Cortex"},{"id":295155,"name":"Middle Aged","url":"https://www.academia.edu/Documents/in/Middle_Aged"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":1122411,"name":"Mr Imaging","url":"https://www.academia.edu/Documents/in/Mr_Imaging"},{"id":1425045,"name":"Brain Neoplasms","url":"https://www.academia.edu/Documents/in/Brain_Neoplasms"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13760982"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13760982/Cognitive_Control_in_Auditory_Working_Memory_Is_Enhanced_in_Musicians"><img alt="Research paper thumbnail of Cognitive Control in Auditory Working Memory Is Enhanced in Musicians" class="work-thumbnail" src="https://attachments.academia-assets.com/44983679/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13760982/Cognitive_Control_in_Auditory_Working_Memory_Is_Enhanced_in_Musicians">Cognitive Control in Auditory Working Memory Is Enhanced in Musicians</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ChristopherBailey6">Christopher Bailey</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a></span></div><div class="wp-workCard_item"><span>PLoS ONE</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ade1a6adc3a7fcf60885c407837b5461" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44983679,"asset_id":13760982,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44983679/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13760982"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13760982"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13760982; 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Behavioural evidence indicates a general enhancement of both working memory and attention in musicians. It is possible that musicians, due to their training, are better able to maintain focus on task-relevant stimuli, a skill which is crucial to working memory. We measured the blood oxygenation-level dependent (BOLD) activation signal in musicians and nonmusicians during working memory of musical sounds to determine the relation among performance, musical competence and generally enhanced cognition. All participants easily distinguished the stimuli. We tested the hypothesis that musicians nonetheless would perform better, and that differential brain activity would mainly be present in cortical areas involved in cognitive control such as the lateral prefrontal cortex. The musicians performed better as reflected in reaction times and error rates. Musicians also had larger BOLD responses than non-musicians in neuronal networks that sustain attention and cognitive control, including regions of the lateral prefrontal cortex, lateral parietal cortex, insula, and putamen in the right hemisphere, and bilaterally in the posterior dorsal prefrontal cortex and anterior cingulate gyrus. The relationship between the task performance and the magnitude of the BOLD response was more positive in musicians than in non-musicians, particularly during the most difficult working memory task. The results confirm previous findings that neural activity increases during enhanced working memory performance. The results also suggest that superior working memory task performance in musicians rely on an enhanced ability to exert sustained cognitive control. This cognitive benefit in musicians may be a consequence of focused musical training.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"PLoS ONE","grobid_abstract_attachment_id":44983679},"translated_abstract":null,"internal_url":"https://www.academia.edu/13760982/Cognitive_Control_in_Auditory_Working_Memory_Is_Enhanced_in_Musicians","translated_internal_url":"","created_at":"2015-07-07T12:38:48.197-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32876893,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":2545675,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":17931042,"co_author_invite_id":null,"email":"a***t@gjedde.nu","affiliation":"University of Copenhagen","display_order":0,"name":"Albert Gjedde","title":"Cognitive Control in Auditory Working Memory Is Enhanced in Musicians"},{"id":2545680,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":null,"co_author_invite_id":309770,"email":"g***e@sund.ku.dk","display_order":4194304,"name":"Albert Gjedde","title":"Cognitive Control in Auditory Working Memory Is Enhanced in Musicians"},{"id":2545685,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":49669980,"co_author_invite_id":153262,"email":"e***o@helsinki.fi","display_order":6291456,"name":"Elvira Brattico","title":"Cognitive Control in Auditory Working Memory Is Enhanced in Musicians"},{"id":2545688,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":null,"co_author_invite_id":313072,"email":"e***o@supereva.it","display_order":7340032,"name":"Elvira Brattico","title":"Cognitive Control in Auditory Working Memory Is Enhanced in 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962813/MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY">MAGNETOENCEPHALOGRAPHY IN NEUROSURGERY</a></div><div class="wp-workCard_item"><span>Neurosurgery</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c92fd27bb2147553d98ac4a4a55de330" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279945,"asset_id":16962813,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279945/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper 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METHODS: MEG maps magnetic fields generated by electric currents in the brain, and allows the localization of brain areas producing evoked sensory responses and spontaneous electromagnetic activity. The identified sources can be integrated with other imaging modalities, e.g., with magnetic resonance imaging scans of individual patients with brain tumors or intractable epilepsy, or with other types of brain imaging data. RESULTS: MEG measurements using modern whole-scalp instruments assist in tailoring individual therapies for neurosurgical patients by producing maps of functionally irretrievable cortical areas and by identifying cortical sources of interictal and ictal epileptiform activity. The excellent time resolution of MEG enables tracking of complex spaciotemporal source patterns, helping, for example, with the separation of the epileptic pacemaker from propagated activity. The combination of noninvasive mapping of subcortical pathways by magnetic resonance imaging diffusion tensor imaging with MEG source localization will, in the near future, provide even more accurate navigational tools for preoperative planning. Other possible future applications of MEG include the noninvasive estimation of language lateralization and the follow-up of brain plasticity elicited by central or peripheral neural lesions or during the treatment of chronic pain. CONCLUSION: MEG is a mature technique suitable for producing preoperative \"road maps\" of eloquent cortical areas and for localizing epileptiform activity.","publication_date":{"day":null,"month":null,"year":2007,"errors":{}},"publication_name":"Neurosurgery","grobid_abstract_attachment_id":39279945},"translated_abstract":null,"internal_url":"https://www.academia.edu/16962813/MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY","translated_internal_url":"","created_at":"2015-10-18T12:51:10.873-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":39279945,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279945/thumbnails/1.jpg","file_name":"0912f506173af2421d000000.pdf","download_url":"https://www.academia.edu/attachments/39279945/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279945/0912f506173af2421d000000-libre.pdf?1445197905=\u0026response-content-disposition=attachment%3B+filename%3DMAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf\u0026Expires=1732398318\u0026Signature=MdPN85AKNrTeiB26qZkhJJA8OKBm8ppSuJzbFt3TyKmtsLWf5BPyL4Q6IQn-INfqFlRHucpDtRbGjiel~~VkUry0BGE5quICY0tMnXGfpVzyuWuYbhSlTaCyTplhUArTnr~4ZUCid3M45Rdj0nV31j0VBscZYZ7KWX-TbsL3zawBGU9Tabpo1U99137hgpG91XuhJW2jcZE8w9sY-6MOKysN42Gge4uSPSsr3CuuazOkSYIQouu1Ololcgtcx-YZl5qtjU8Lp-UqHLLGMT6jV9ykqlMpMCfIXsVdqaqClXKQuKRgFCUchCmMfLu9KR76qC9K~QwODDgrOtm8sPVGoQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY","translated_slug":"","page_count":20,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[{"id":39279945,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279945/thumbnails/1.jpg","file_name":"0912f506173af2421d000000.pdf","download_url":"https://www.academia.edu/attachments/39279945/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279945/0912f506173af2421d000000-libre.pdf?1445197905=\u0026response-content-disposition=attachment%3B+filename%3DMAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf\u0026Expires=1732398318\u0026Signature=MdPN85AKNrTeiB26qZkhJJA8OKBm8ppSuJzbFt3TyKmtsLWf5BPyL4Q6IQn-INfqFlRHucpDtRbGjiel~~VkUry0BGE5quICY0tMnXGfpVzyuWuYbhSlTaCyTplhUArTnr~4ZUCid3M45Rdj0nV31j0VBscZYZ7KWX-TbsL3zawBGU9Tabpo1U99137hgpG91XuhJW2jcZE8w9sY-6MOKysN42Gge4uSPSsr3CuuazOkSYIQouu1Ololcgtcx-YZl5qtjU8Lp-UqHLLGMT6jV9ykqlMpMCfIXsVdqaqClXKQuKRgFCUchCmMfLu9KR76qC9K~QwODDgrOtm8sPVGoQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":650,"name":"Neurosurgery","url":"https://www.academia.edu/Documents/in/Neurosurgery"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":1765793,"name":"Brain Diseases","url":"https://www.academia.edu/Documents/in/Brain_Diseases"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962812"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962812/Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration"><img alt="Research paper thumbnail of Significance of the second somatosensory cortex in sensorimotor integration" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962812/Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration">Significance of the second somatosensory cortex in sensorimotor integration</a></div><div class="wp-workCard_item"><span>NeuroReport</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The functional significance of the second somatosensory cortex (SII) is poorly understood. Howeve...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The functional significance of the second somatosensory cortex (SII) is poorly understood. However, lesion and cortical stimulation studies indicate that SII may be involved in sensory aspects of tactile learning and in movement control. In the present study, we explored a possible role of SII in sensorimotor integration in humans using a multichannel magnetometer. Somatosensory evoked fields (SEFs) from SII to electrical stimulation of left and right median nerves were recorded in six healthy volunteers during rest and in different test conditions. Continuous cutaneous stimulation of the right hand or face reduced the SEFs to both left and right median nerve stimulation. Right-sided finger movements increased the SEFs to right, but not left, median nerve stimulation. The responses were equally enhanced by simple finger flexion movement and by a complex finger sequence. The suppression of SEFs by competing cutaneous inputs from different areas of the body indicates that the neurones underlying the responses receive inputs from large, bilateral receptive fields. The enhancement of sensory reactions to signals from the actively moving limb but not to those from the opposite limb indicates a spatial tuning of the SII neurones to behaviourally relevant input channels, also suggesting that SII is important for the integration of sensory information to motor programmes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962812"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962812"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962812; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962812]").text(description); $(".js-view-count[data-work-id=16962812]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962812; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962812']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962812, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16962812]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962812,"title":"Significance of the second somatosensory cortex in sensorimotor integration","translated_title":"","metadata":{"abstract":"The functional significance of the second somatosensory cortex (SII) is poorly understood. However, lesion and cortical stimulation studies indicate that SII may be involved in sensory aspects of tactile learning and in movement control. In the present study, we explored a possible role of SII in sensorimotor integration in humans using a multichannel magnetometer. Somatosensory evoked fields (SEFs) from SII to electrical stimulation of left and right median nerves were recorded in six healthy volunteers during rest and in different test conditions. Continuous cutaneous stimulation of the right hand or face reduced the SEFs to both left and right median nerve stimulation. Right-sided finger movements increased the SEFs to right, but not left, median nerve stimulation. The responses were equally enhanced by simple finger flexion movement and by a complex finger sequence. The suppression of SEFs by competing cutaneous inputs from different areas of the body indicates that the neurones underlying the responses receive inputs from large, bilateral receptive fields. The enhancement of sensory reactions to signals from the actively moving limb but not to those from the opposite limb indicates a spatial tuning of the SII neurones to behaviourally relevant input channels, also suggesting that SII is important for the integration of sensory information to motor programmes.","publication_date":{"day":null,"month":null,"year":1996,"errors":{}},"publication_name":"NeuroReport"},"translated_abstract":"The functional significance of the second somatosensory cortex (SII) is poorly understood. However, lesion and cortical stimulation studies indicate that SII may be involved in sensory aspects of tactile learning and in movement control. In the present study, we explored a possible role of SII in sensorimotor integration in humans using a multichannel magnetometer. Somatosensory evoked fields (SEFs) from SII to electrical stimulation of left and right median nerves were recorded in six healthy volunteers during rest and in different test conditions. Continuous cutaneous stimulation of the right hand or face reduced the SEFs to both left and right median nerve stimulation. Right-sided finger movements increased the SEFs to right, but not left, median nerve stimulation. The responses were equally enhanced by simple finger flexion movement and by a complex finger sequence. The suppression of SEFs by competing cutaneous inputs from different areas of the body indicates that the neurones underlying the responses receive inputs from large, bilateral receptive fields. The enhancement of sensory reactions to signals from the actively moving limb but not to those from the opposite limb indicates a spatial tuning of the SII neurones to behaviourally relevant input channels, also suggesting that SII is important for the integration of sensory information to motor programmes.","internal_url":"https://www.academia.edu/16962812/Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration","translated_internal_url":"","created_at":"2015-10-18T12:51:10.785-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":66092,"name":"Sensorimotor integration","url":"https://www.academia.edu/Documents/in/Sensorimotor_integration"},{"id":84745,"name":"Movement","url":"https://www.academia.edu/Documents/in/Movement"},{"id":86150,"name":"Touch","url":"https://www.academia.edu/Documents/in/Touch"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":119665,"name":"Reaction Time","url":"https://www.academia.edu/Documents/in/Reaction_Time"},{"id":277717,"name":"Somatosensory Cortex","url":"https://www.academia.edu/Documents/in/Somatosensory_Cortex"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":1000427,"name":"Reference Values","url":"https://www.academia.edu/Documents/in/Reference_Values"},{"id":1028516,"name":"Fingers","url":"https://www.academia.edu/Documents/in/Fingers"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); 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'We measured somatosensory evoked magnetic 6dds (SEFs) to median nerve stimulation with a 122--channel helmetshaped magnetometer in 10 healthy subjects. ]n five, the magnetic field patterns suggested long-Iaten'! activation of the ipsilateral SMI. Source locations foun by current dipole fitting corresponded to the SMI hand area, as determined by contralateral stimulation. Further evidence for the origin of the ipsilateral responses in SMI 1t'aJ provided by the suppression of these responses during movement of the contralateral fingers. Sensory input to ipsilateral SMI could playa role in sensorimotor integration of bilateral movements.","publication_date":{"day":null,"month":null,"year":1995,"errors":{}},"publication_name":"NeuroReport","grobid_abstract_attachment_id":39279943},"translated_abstract":null,"internal_url":"https://www.academia.edu/16962811/Activation_of_ipsilateral_primary_sensorimotor_cortex_by_median_nerve_stimulation","translated_internal_url":"","created_at":"2015-10-18T12:51:10.698-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":39279943,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279943/thumbnails/1.jpg","file_name":"02e7e52891a92408f1000000.pdf","download_url":"https://www.academia.edu/attachments/39279943/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Activation_of_ipsilateral_primary_sensor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279943/02e7e52891a92408f1000000-libre.pdf?1445197907=\u0026response-content-disposition=attachment%3B+filename%3DActivation_of_ipsilateral_primary_sensor.pdf\u0026Expires=1732398318\u0026Signature=OL6-1HJvL~vCrgT-xSjnOtKnbFNU6rZGxXUxcnWBG06BBC6j~izuMvyLfqrikqFVo0EFarIVT0TqnRLIycYmNK0oYL7TmS5NaJzrUchYwLFhwmhGkuNSqXcEFLSclOFZbi8IEdpZcqmm40l5eUmYeoxg6JPP1tdnWV9bpFz7wuRazL3VGRjtU7hlWyZFekOOKlJt6rq48438N74yEjeQ250NdspWhW8v2uT7vS1Uj~6HY6Ti6kkl4hcaPBmXuhDmbM-PzMtQQgqpLT14vYykxLsBs61V-aLI4d4CUx-S7zKT3ZUrR5w5omgg3KMRpnomiOkIJxUrgzMU5Uzb1vJTUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Activation_of_ipsilateral_primary_sensorimotor_cortex_by_median_nerve_stimulation","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[{"id":39279943,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279943/thumbnails/1.jpg","file_name":"02e7e52891a92408f1000000.pdf","download_url":"https://www.academia.edu/attachments/39279943/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Activation_of_ipsilateral_primary_sensor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279943/02e7e52891a92408f1000000-libre.pdf?1445197907=\u0026response-content-disposition=attachment%3B+filename%3DActivation_of_ipsilateral_primary_sensor.pdf\u0026Expires=1732398318\u0026Signature=OL6-1HJvL~vCrgT-xSjnOtKnbFNU6rZGxXUxcnWBG06BBC6j~izuMvyLfqrikqFVo0EFarIVT0TqnRLIycYmNK0oYL7TmS5NaJzrUchYwLFhwmhGkuNSqXcEFLSclOFZbi8IEdpZcqmm40l5eUmYeoxg6JPP1tdnWV9bpFz7wuRazL3VGRjtU7hlWyZFekOOKlJt6rq48438N74yEjeQ250NdspWhW8v2uT7vS1Uj~6HY6Ti6kkl4hcaPBmXuhDmbM-PzMtQQgqpLT14vYykxLsBs61V-aLI4d4CUx-S7zKT3ZUrR5w5omgg3KMRpnomiOkIJxUrgzMU5Uzb1vJTUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":78467,"name":"Cerebral Cortex","url":"https://www.academia.edu/Documents/in/Cerebral_Cortex"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":153836,"name":"Motor Cortex","url":"https://www.academia.edu/Documents/in/Motor_Cortex"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":1292780,"name":"Median Nerve","url":"https://www.academia.edu/Documents/in/Median_Nerve"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962810"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962810/Effects_of_the_interstimulus_interval_on_somatosensory_go_no_go_event_related_potentials"><img alt="Research paper thumbnail of Effects of the interstimulus interval on somatosensory go/no-go event-related potentials" class="work-thumbnail" src="https://attachments.academia-assets.com/42368521/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962810/Effects_of_the_interstimulus_interval_on_somatosensory_go_no_go_event_related_potentials">Effects of the interstimulus interval on somatosensory go/no-go event-related potentials</a></div><div class="wp-workCard_item"><span>NeuroReport</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigated the characteristics of event-related potentials using somatosensory go/no...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigated the characteristics of event-related potentials using somatosensory go/no-go paradigms. We manipulated the interstimulus interval and analyzed its effect on the peak amplitude and latency of the N140 and P300 components. The amplitude of N140 increased as the interstimulus interval increased, and was significantly larger in no-go than in go trials at the 1-s and 2-s interstimulus intervals, but not the 4-s and 6-s interstimulus intervals. The amplitude of P300 also increased with the interstimulus interval, and was significantly larger in no-go than in go trials at all interstimulus intervals. The reaction time in go trials was longer with increasing interstimulus interval. This study suggests that brain activities associated with go/no-go decisional processes are influenced by the interstimulus interval.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e237958fb95972f29b383fe5b65199e8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42368521,"asset_id":16962810,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42368521/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962810"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962810"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962810; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962810]").text(description); $(".js-view-count[data-work-id=16962810]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962810; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962810']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962810, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e237958fb95972f29b383fe5b65199e8" } } $('.js-work-strip[data-work-id=16962810]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962810,"title":"Effects of the interstimulus interval on somatosensory go/no-go event-related potentials","translated_title":"","metadata":{"abstract":"This study investigated the characteristics of event-related potentials using somatosensory go/no-go paradigms. We manipulated the interstimulus interval and analyzed its effect on the peak amplitude and latency of the N140 and P300 components. The amplitude of N140 increased as the interstimulus interval increased, and was significantly larger in no-go than in go trials at the 1-s and 2-s interstimulus intervals, but not the 4-s and 6-s interstimulus intervals. The amplitude of P300 also increased with the interstimulus interval, and was significantly larger in no-go than in go trials at all interstimulus intervals. The reaction time in go trials was longer with increasing interstimulus interval. This study suggests that brain activities associated with go/no-go decisional processes are influenced by the interstimulus interval.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"NeuroReport"},"translated_abstract":"This study investigated the characteristics of event-related potentials using somatosensory go/no-go paradigms. We manipulated the interstimulus interval and analyzed its effect on the peak amplitude and latency of the N140 and P300 components. The amplitude of N140 increased as the interstimulus interval increased, and was significantly larger in no-go than in go trials at the 1-s and 2-s interstimulus intervals, but not the 4-s and 6-s interstimulus intervals. The amplitude of P300 also increased with the interstimulus interval, and was significantly larger in no-go than in go trials at all interstimulus intervals. The reaction time in go trials was longer with increasing interstimulus interval. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962809"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962809/Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks"><img alt="Research paper thumbnail of Differences between auditory evoked responses recorded during spatial and nonspatial working memory tasks" class="work-thumbnail" src="https://attachments.academia-assets.com/39279942/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962809/Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks">Differences between auditory evoked responses recorded during spatial and nonspatial working memory tasks</a></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d631d9f2a57908337d53a06f35c993d9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279942,"asset_id":16962809,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279942/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962809"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962809"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962809; 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The use of modern neuroimaging techniques has allowed for the determination that different brain structures may be specifically activated during working memory processing of pitch and location of sound. The time course of these task-related differences, however, remains uncertain. In the present study, we performed simultaneous whole-head electroencephalogram and magnetoencephalogram recordings, using a new behavioral paradigm, to investigate the dynamics of differences between \"what\" and \"where\" evoked responses in the auditory system as a function of memory load. In the location task the latency of the N1m was shorter and its generator was situated more inferiorly than in the pitch task. Working memory processing of the tonal frequency enhanced the amplitude of the N2 component, as well as the negative-going deflection at a latency around 400 ms. A memory-load-dependent task-related difference was found in the positive slow wave which was higher during the location than pitch task at the low load. Late slow waves were affected by memory load but not type of task. These results suggest that separate neuronal networks are involved in the attribute-specific analysis of auditory stimuli and their encoding into working memory, whereas the maintenance of auditory information is accomplished by a common, nonspecific neuronal network.","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"NeuroImage","grobid_abstract_attachment_id":39279942},"translated_abstract":null,"internal_url":"https://www.academia.edu/16962809/Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks","translated_internal_url":"","created_at":"2015-10-18T12:51:10.542-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":39279942,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279942/thumbnails/1.jpg","file_name":"54760e4c0cf29afed6141c89.pdf","download_url":"https://www.academia.edu/attachments/39279942/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Differences_between_auditory_evoked_resp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279942/54760e4c0cf29afed6141c89-libre.pdf?1445197907=\u0026response-content-disposition=attachment%3B+filename%3DDifferences_between_auditory_evoked_resp.pdf\u0026Expires=1732398318\u0026Signature=dStKFI8IUWGOXsOWwdNIpWUYdWd95B7A0yCGQl1MlLGehDqqDexkDa3z2YAfPQcfljyheXjGVRfb2Qsk~rKTUW0BxQptUh0GyWVocNXW9ahze0jCU5j-zwUGQM0Sl6tvIEhyOXpwpuVa8oAToa2iAj3Zm864iIGtU1FIj0Qf9AGnr8wjlzXvUvF2wAdFCkW9Fq635CtwHRP4ehmWLHga8g3q9ga3O7dLNjAXckIctsdovbCrTZHKehNvf2zP9wGdvbBTQSitblzrlHSpEOU3iyVgkIEeS4negO6tCpG3jj-pKw0eqS1Tv9z4adHG64JjQbPWBENVo~qoPivVlYA2mA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti 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$a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16700184"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16700184/Spatiotemporal_imaging_of_motion_processing_in_human_visual_cortex"><img alt="Research paper thumbnail of Spatiotemporal imaging of motion processing in human visual cortex" class="work-thumbnail" src="https://attachments.academia-assets.com/42413893/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16700184/Spatiotemporal_imaging_of_motion_processing_in_human_visual_cortex">Spatiotemporal imaging of motion processing in human visual cortex</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SimpsonGregory">Gregory Simpson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RTootell">R. Tootell</a></span></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 1996</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="acdedd85d366cb6caa61154600753aed" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42413893,"asset_id":16700184,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42413893/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16700184"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16700184"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16700184; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16700184]").text(description); $(".js-view-count[data-work-id=16700184]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16700184; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16700184']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16700184, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "acdedd85d366cb6caa61154600753aed" } } $('.js-work-strip[data-work-id=16700184]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16700184,"title":"Spatiotemporal imaging of motion processing in human visual cortex","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":1996,"errors":{}},"publication_name":"NeuroImage"},"translated_abstract":null,"internal_url":"https://www.academia.edu/16700184/Spatiotemporal_imaging_of_motion_processing_in_human_visual_cortex","translated_internal_url":"","created_at":"2015-10-12T08:43:24.538-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36083888,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7104777,"work_id":16700184,"tagging_user_id":36083888,"tagged_user_id":32342049,"co_author_invite_id":null,"email":"a***e@gmail.com","affiliation":"University of California, San Diego","display_order":0,"name":"Anders Dale","title":"Spatiotemporal imaging of motion processing in human visual cortex"},{"id":7104786,"work_id":16700184,"tagging_user_id":36083888,"tagged_user_id":null,"co_author_invite_id":394187,"email":"s***o@nmr.mgh.harvard.edu","display_order":4194304,"name":"S. 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The aim of this study was to investigate the influence of short-term repetitive electrical stimulation (rES, training session) on somatosensory evoked fields (SEF) as recorded with MEG. 6 healthy subjects were investigated, including 1 control. The SEFs were recorded right before the training, immediately after it, and after 25 min. Left median /3 subjects/ and right median /2 subjects/ nerve (MN) were stimulated. The interstimulus interval was 3 sec, the stimulus intensity was set to 1.3 times motor threshold of APB muscle. The training session consisted of a burst of 5 pulses with a frequency of 200 Hz, repeated every sec. for a duration of 30 min; the intensity of the stimulation was set to 2 times the motor threshold. The following SEF components were analyzed: N20m, P35m and P60m (responses in the primary somatosensory SI- area), as well as responses in the secondary somato...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fec14495e3c19b4b3596a86f786ef9f4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279949,"asset_id":16962822,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279949/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962822"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962822"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962822; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962822]").text(description); $(".js-view-count[data-work-id=16962822]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962822; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962822']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962822, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fec14495e3c19b4b3596a86f786ef9f4" } } $('.js-work-strip[data-work-id=16962822]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962822,"title":"MODULATION OF SOMATOSENSORY EVOKED FIELDS DUE TO REPETITIVE NERVE STIMULATION","translated_title":"","metadata":{"abstract":"The adult mammalian nervous system has the ability to reorganize itself in an activity- dependent manner. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962821"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962821/Functional_MRI_as_a_constraint_in_multi_dipole_models_of_MEG_data"><img alt="Research paper thumbnail of Functional MRI as a constraint in multi-dipole models of MEG data" class="work-thumbnail" src="https://attachments.academia-assets.com/39279948/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962821/Functional_MRI_as_a_constraint_in_multi_dipole_models_of_MEG_data">Functional MRI as a constraint in multi-dipole models of MEG data</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The use of physiologicalconstraints in the solution of the inverse problem of brain electromagnet...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The use of physiologicalconstraints in the solution of the inverse problem of brain electromagnetic fields has received increasing attention in recent years. A priori information is needed to constrain the solution of the electromagnetic inverse problem; other imaging modalities, such as fMRI, can provide information of this kind. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962820"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962820/Statistical_Segmentation_of_fMRI_Activations_Using_Contextual_Clustering"><img alt="Research paper thumbnail of Statistical Segmentation of fMRI Activations Using Contextual Clustering" class="work-thumbnail" src="https://attachments.academia-assets.com/39279951/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962820/Statistical_Segmentation_of_fMRI_Activations_Using_Contextual_Clustering">Statistical Segmentation of fMRI Activations Using Contextual Clustering</a></div><div class="wp-workCard_item"><span>Lecture Notes in Computer Science</span><span>, 1999</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9ccfdd92b34425932e6e2b7a09800fc5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279951,"asset_id":16962820,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279951/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962820"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962820"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962820; 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Often this goal is achieved by computing a statistical parametric map (SPM) and thresholding it. Cluster-size thresholds are also used. A new contextual segmentation method based on clustering is presented in this paper. If the SPM value of a voxel, adjusted with neighborhood information, differs from the expected non-activation value more than a specified decision value, the contextual clustering algorithm classifies the voxel to the activation class, otherwise to the non-activation class. The voxel-wise thresholding, cluster-size thresholding and contextual clustering are compared using fixed overall specificity. Generally, the contextual clustering detects activations with higher probability than the voxel-wise thresholding. Unlike cluster-size thresholding, contextual clustering is able to detect extremely small area activations, too. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962818"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962818/_Functional_imaging_of_brain_tumors_"><img alt="Research paper thumbnail of [Functional imaging of brain tumors]" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962818/_Functional_imaging_of_brain_tumors_">[Functional imaging of brain tumors]</a></div><div class="wp-workCard_item"><span>Duodecim; l盲盲ketieteellinen aikakauskirja</span><span>, 2000</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (MR), are of immeasurable assistance in the diagnosis and characterization of primary intracranial tumors. Factors which can be accurately deduced via these techniques includes the location, size, mass effect and edema associated with brain tumors; usually a differential diagnosis of tumor type can be generated based on characteristics on CT and MR imaging. However, factors relating to the growth potential of brain tumors cannot be elucidated with standard imaging techniques alone. Functional imaging techniques may provide the information necessary for accurate analysis of brain tumor behavior before and after therapy. There is a well- known association between the regional supply of energy substrates to the brain in accordance to its metabolic needs. This relationship has been exploited in the development of techniques which measure regional brain activity in qualitative and quantitative terms so that we may better understand cerebral function in normal and disease processes. Of particular importance is the need to determine the presence of residual or recurrent tumor after therapy. The present treatment of high-grade astro- cytomas (anaplastic astrocytomas or glioblastoma multiforme) consists of tumor debulking followed by high-energy local radiotherapy. These treatments are designed to deposit very high radiation doses within the tumor mass while minimizing damage to the adjacent neuropil. Nevertheless, radiation-induced reactive change and gliosis (radiation necrosis) may occur in otherwise healthy tissue within weeks to months after radiotherapy. This condition is manifested by expanding masses with peripheral enhancement and central necrosis, surrounded by edema, in the region of the treated tumor which mimics recurrent tumor growth clinically and by standard radiographic techniques. Furthermore, in patients with recurrence, the tumor cell density correlates with aggressiveness of tumor regrowth and therefore patient prog- nosis, but this also cannot be elucidated on standard imaging techniques. The</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962818"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962818"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962818; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962818]").text(description); $(".js-view-count[data-work-id=16962818]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962818; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962818']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962818, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16962818]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962818,"title":"[Functional imaging of brain tumors]","translated_title":"","metadata":{"abstract":"ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (MR), are of immeasurable assistance in the diagnosis and characterization of primary intracranial tumors. Factors which can be accurately deduced via these techniques includes the location, size, mass effect and edema associated with brain tumors; usually a differential diagnosis of tumor type can be generated based on characteristics on CT and MR imaging. However, factors relating to the growth potential of brain tumors cannot be elucidated with standard imaging techniques alone. Functional imaging techniques may provide the information necessary for accurate analysis of brain tumor behavior before and after therapy. There is a well- known association between the regional supply of energy substrates to the brain in accordance to its metabolic needs. This relationship has been exploited in the development of techniques which measure regional brain activity in qualitative and quantitative terms so that we may better understand cerebral function in normal and disease processes. Of particular importance is the need to determine the presence of residual or recurrent tumor after therapy. The present treatment of high-grade astro- cytomas (anaplastic astrocytomas or glioblastoma multiforme) consists of tumor debulking followed by high-energy local radiotherapy. These treatments are designed to deposit very high radiation doses within the tumor mass while minimizing damage to the adjacent neuropil. Nevertheless, radiation-induced reactive change and gliosis (radiation necrosis) may occur in otherwise healthy tissue within weeks to months after radiotherapy. This condition is manifested by expanding masses with peripheral enhancement and central necrosis, surrounded by edema, in the region of the treated tumor which mimics recurrent tumor growth clinically and by standard radiographic techniques. Furthermore, in patients with recurrence, the tumor cell density correlates with aggressiveness of tumor regrowth and therefore patient prog- nosis, but this also cannot be elucidated on standard imaging techniques. The","publication_date":{"day":null,"month":null,"year":2000,"errors":{}},"publication_name":"Duodecim; l盲盲ketieteellinen aikakauskirja"},"translated_abstract":"ABSTRACT Conventional imaging techniques, such as computed tomography (CT) and magnetic resonance imaging (MR), are of immeasurable assistance in the diagnosis and characterization of primary intracranial tumors. Factors which can be accurately deduced via these techniques includes the location, size, mass effect and edema associated with brain tumors; usually a differential diagnosis of tumor type can be generated based on characteristics on CT and MR imaging. However, factors relating to the growth potential of brain tumors cannot be elucidated with standard imaging techniques alone. Functional imaging techniques may provide the information necessary for accurate analysis of brain tumor behavior before and after therapy. There is a well- known association between the regional supply of energy substrates to the brain in accordance to its metabolic needs. This relationship has been exploited in the development of techniques which measure regional brain activity in qualitative and quantitative terms so that we may better understand cerebral function in normal and disease processes. Of particular importance is the need to determine the presence of residual or recurrent tumor after therapy. The present treatment of high-grade astro- cytomas (anaplastic astrocytomas or glioblastoma multiforme) consists of tumor debulking followed by high-energy local radiotherapy. These treatments are designed to deposit very high radiation doses within the tumor mass while minimizing damage to the adjacent neuropil. Nevertheless, radiation-induced reactive change and gliosis (radiation necrosis) may occur in otherwise healthy tissue within weeks to months after radiotherapy. This condition is manifested by expanding masses with peripheral enhancement and central necrosis, surrounded by edema, in the region of the treated tumor which mimics recurrent tumor growth clinically and by standard radiographic techniques. Furthermore, in patients with recurrence, the tumor cell density correlates with aggressiveness of tumor regrowth and therefore patient prog- nosis, but this also cannot be elucidated on standard imaging techniques. The","internal_url":"https://www.academia.edu/16962818/_Functional_imaging_of_brain_tumors_","translated_internal_url":"","created_at":"2015-10-18T12:51:11.569-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"_Functional_imaging_of_brain_tumors_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[],"research_interests":[{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":21732,"name":"Magnetic Resonance Spectroscopy","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Spectroscopy"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":203765,"name":"Diagnostic Imaging","url":"https://www.academia.edu/Documents/in/Diagnostic_Imaging"},{"id":1425045,"name":"Brain Neoplasms","url":"https://www.academia.edu/Documents/in/Brain_Neoplasms"},{"id":1944553,"name":"Magnetic resonance angiography","url":"https://www.academia.edu/Documents/in/Magnetic_resonance_angiography"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16700203"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16700203/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI"><img alt="Research paper thumbnail of Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI" class="work-thumbnail" src="https://attachments.academia-assets.com/39126961/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16700203/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI">Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SimpsonGregory">Gregory Simpson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RTootell">R. Tootell</a></span></div><div class="wp-workCard_item"><span>Journal of neurophysiology</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A sudden change in the direction of motion is a particularly salient and relevant feature of visu...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A sudden change in the direction of motion is a particularly salient and relevant feature of visual information. Extensive research has identified cortical areas responsive to visual motion and characterized their sensitivity to different features of motion, such as directional specificity. However, relatively little is known about responses to sudden changes in direction. Electrophysiological data from animals and functional imaging data from humans suggest a number of brain areas responsive to motion, presumably working as a network. Temporal patterns of activity allow the same network to process information in different ways. The present study in humans sought to determine which motion-sensitive areas are involved in processing changes in the direction of motion and to characterize the temporal patterns of processing within this network of brain regions. To accomplish this, we used both magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). The fMRI data w...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="310963f60c5d8edde31c5d5702bfc946" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39126961,"asset_id":16700203,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39126961/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16700203"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16700203"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16700203; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16700203]").text(description); $(".js-view-count[data-work-id=16700203]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16700203; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16700203']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16700203, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "310963f60c5d8edde31c5d5702bfc946" } } $('.js-work-strip[data-work-id=16700203]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16700203,"title":"Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI","translated_title":"","metadata":{"abstract":"A sudden change in the direction of motion is a particularly salient and relevant feature of visual information. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16700200"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16700200/Spatiotemporal_imaging_of_human_cortical_areas_selective_to_visual_motion"><img alt="Research paper thumbnail of Spatiotemporal imaging of human cortical areas selective to visual motion" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16700200/Spatiotemporal_imaging_of_human_cortical_areas_selective_to_visual_motion">Spatiotemporal imaging of human cortical areas selective to visual motion</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SimpsonGregory">Gregory Simpson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RTootell">R. Tootell</a></span></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 1996</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16700200"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16700200"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16700200; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16700200]").text(description); $(".js-view-count[data-work-id=16700200]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16700200; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16700200']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16700200, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16700200]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16700200,"title":"Spatiotemporal imaging of human cortical areas selective to visual motion","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":1996,"errors":{}},"publication_name":"NeuroImage"},"translated_abstract":null,"internal_url":"https://www.academia.edu/16700200/Spatiotemporal_imaging_of_human_cortical_areas_selective_to_visual_motion","translated_internal_url":"","created_at":"2015-10-12T08:43:27.276-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36083888,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7104776,"work_id":16700200,"tagging_user_id":36083888,"tagged_user_id":32342049,"co_author_invite_id":null,"email":"a***e@gmail.com","affiliation":"University of California, San Diego","display_order":0,"name":"Anders Dale","title":"Spatiotemporal imaging of human cortical areas selective to visual motion"},{"id":7104785,"work_id":16700200,"tagging_user_id":36083888,"tagged_user_id":null,"co_author_invite_id":394187,"email":"s***o@nmr.mgh.harvard.edu","display_order":4194304,"name":"S. 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Possible effects of the interstimulus interval (ISI) on point localization threshold have not been previously examined. In the present set of experiments the effect of time delay on somatosensory point localization was studied using ISIs of 1, 3, 5, 7, and 9 s, and applying a newly developed computer-controlled application method of a Semmes-Weinstein monofilament. It was found that the point localization threshold was not significantly affected by the ISI length. 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Possible effects of the interstimulus interval (ISI) on point localization threshold have not been previously examined. In the present set of experiments the effect of time delay on somatosensory point localization was studied using ISIs of 1, 3, 5, 7, and 9 s, and applying a newly developed computer-controlled application method of a Semmes-Weinstein monofilament. It was found that the point localization threshold was not significantly affected by the ISI length. However, the response time was shorter and response accuracy better at the shorter (1 and 3 s) than at the longer (5, 7, and 9 s) ISIs, suggesting a change in the mechanism underlying point localization decision criteria in ISIs longer than 3 s.","publication_date":{"day":null,"month":null,"year":2004,"errors":{}},"publication_name":"Somatosensory \u0026 Motor Research"},"translated_abstract":"Somatosensory point localization is a clinical test evaluating spatial accuracy of the somatosensory system. 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However, the response time was shorter and response accuracy better at the shorter (1 and 3 s) than at the longer (5, 7, and 9 s) ISIs, suggesting a change in the mechanism underlying point localization decision criteria in ISIs longer than 3 s.","internal_url":"https://www.academia.edu/16873097/The_effect_of_interstimulus_interval_on_somatosensory_point_localization","translated_internal_url":"","created_at":"2015-10-16T06:23:02.686-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345949,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7359473,"work_id":16873097,"tagging_user_id":36345949,"tagged_user_id":null,"co_author_invite_id":679811,"email":"s***s@cc.helsinki.fi","display_order":0,"name":"Synn枚ve Carlson","title":"The effect of interstimulus interval on somatosensory point localization"},{"id":7359529,"work_id":16873097,"tagging_user_id":36345949,"tagged_user_id":36345490,"co_author_invite_id":null,"email":"a***a@helsinki.fi","display_order":4194304,"name":"Antti Korvenoja","title":"The effect of interstimulus interval on somatosensory point localization"},{"id":7359547,"work_id":16873097,"tagging_user_id":36345949,"tagged_user_id":759050,"co_author_invite_id":null,"email":"j***o@uta.fi","affiliation":"University of Helsinki","display_order":6291456,"name":"Juha Koivisto","title":"The effect of interstimulus interval on somatosensory point localization"}],"downloadable_attachments":[],"slug":"The_effect_of_interstimulus_interval_on_somatosensory_point_localization","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345949,"first_name":"Antti","middle_initials":null,"last_name":"Pertovaara","page_name":"AnttiPertovaara","domain_name":"independent","created_at":"2015-10-16T06:16:25.539-07:00","display_name":"Antti Pertovaara","url":"https://independent.academia.edu/AnttiPertovaara"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":86150,"name":"Touch","url":"https://www.academia.edu/Documents/in/Touch"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":99089,"name":"Motor","url":"https://www.academia.edu/Documents/in/Motor"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":162553,"name":"Skin","url":"https://www.academia.edu/Documents/in/Skin"},{"id":295155,"name":"Middle Aged","url":"https://www.academia.edu/Documents/in/Middle_Aged"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":500368,"name":"Hand","url":"https://www.academia.edu/Documents/in/Hand"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962814"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962814/Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1"><img alt="Research paper thumbnail of Sensorimotor Cortex Localization: Comparison of Magnetoencephalography, Functional MR Imaging, and Intraoperative Cortical Mapping 1" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962814/Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1">Sensorimotor Cortex Localization: Comparison of Magnetoencephalography, Functional MR Imaging, and Intraoperative Cortical Mapping 1</a></div><div class="wp-workCard_item"><span>Radiology</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) ima...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) imaging, as compared with intraoperative cortical mapping, for identification of the central sulcus. Fifteen patients (six men, nine women; age range, 25-58 years) with a lesion near the primary sensorimotor cortex (13 gliomas, one cavernous hemangioma, and one meningioma) were examined after institutional review board approval and written informed consent from each patient were obtained. At MEG, evoked magnetic fields to median nerve stimulation were recorded; at functional MR imaging, hemodynamic responses to self-paced palmar flexion of the wrist were imaged. General linear model analysis with contextual clustering (P &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; .01) was used to analyze functional MR imaging data, and dipole modeling was used to analyze MEG data. MEG and functional MR localizations were compared with intraoperative cortical mappings. The distance from the area of functional MR imaging activation to the tumor margin was compared between the patients with discordant and those with concordant intraoperative mapping findings by using unpaired t testing. MEG depicted the central sulcus correctly in all 15 patients, as verified at intraoperative mapping. The functional MR imaging localization results agreed with the intraoperative mappings in 11 patients. In all four patients with a false localization, the primary activation was in the postcentral sulcus region, but it did not differ significantly from the primary activation in the patients with correct localization with respect to proximity to the tumor (P = .38). Furthermore, at functional MR imaging, multiple nonprimary areas were activated, with considerable interindividual variation. Although both MEG and functional MR imaging can provide useful information for neurosurgical planning, in the present study, MEG proved to be superior for locating the central sulcus. Activation of multiple nonprimary cerebral areas may confound the interpretation of functional MR imaging results.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962814"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962814"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962814; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962814]").text(description); $(".js-view-count[data-work-id=16962814]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962814; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962814']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962814, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16962814]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962814,"title":"Sensorimotor Cortex Localization: Comparison of Magnetoencephalography, Functional MR Imaging, and Intraoperative Cortical Mapping 1","translated_title":"","metadata":{"abstract":"To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) imaging, as compared with intraoperative cortical mapping, for identification of the central sulcus. Fifteen patients (six men, nine women; age range, 25-58 years) with a lesion near the primary sensorimotor cortex (13 gliomas, one cavernous hemangioma, and one meningioma) were examined after institutional review board approval and written informed consent from each patient were obtained. At MEG, evoked magnetic fields to median nerve stimulation were recorded; at functional MR imaging, hemodynamic responses to self-paced palmar flexion of the wrist were imaged. General linear model analysis with contextual clustering (P \u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; .01) was used to analyze functional MR imaging data, and dipole modeling was used to analyze MEG data. MEG and functional MR localizations were compared with intraoperative cortical mappings. The distance from the area of functional MR imaging activation to the tumor margin was compared between the patients with discordant and those with concordant intraoperative mapping findings by using unpaired t testing. MEG depicted the central sulcus correctly in all 15 patients, as verified at intraoperative mapping. The functional MR imaging localization results agreed with the intraoperative mappings in 11 patients. In all four patients with a false localization, the primary activation was in the postcentral sulcus region, but it did not differ significantly from the primary activation in the patients with correct localization with respect to proximity to the tumor (P = .38). Furthermore, at functional MR imaging, multiple nonprimary areas were activated, with considerable interindividual variation. Although both MEG and functional MR imaging can provide useful information for neurosurgical planning, in the present study, MEG proved to be superior for locating the central sulcus. Activation of multiple nonprimary cerebral areas may confound the interpretation of functional MR imaging results.","publication_date":{"day":null,"month":null,"year":2006,"errors":{}},"publication_name":"Radiology"},"translated_abstract":"To prospectively evaluate magnetoencephalography (MEG) and functional magnetic resonance (MR) imaging, as compared with intraoperative cortical mapping, for identification of the central sulcus. Fifteen patients (six men, nine women; age range, 25-58 years) with a lesion near the primary sensorimotor cortex (13 gliomas, one cavernous hemangioma, and one meningioma) were examined after institutional review board approval and written informed consent from each patient were obtained. At MEG, evoked magnetic fields to median nerve stimulation were recorded; at functional MR imaging, hemodynamic responses to self-paced palmar flexion of the wrist were imaged. General linear model analysis with contextual clustering (P \u0026amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; .01) was used to analyze functional MR imaging data, and dipole modeling was used to analyze MEG data. MEG and functional MR localizations were compared with intraoperative cortical mappings. The distance from the area of functional MR imaging activation to the tumor margin was compared between the patients with discordant and those with concordant intraoperative mapping findings by using unpaired t testing. MEG depicted the central sulcus correctly in all 15 patients, as verified at intraoperative mapping. The functional MR imaging localization results agreed with the intraoperative mappings in 11 patients. In all four patients with a false localization, the primary activation was in the postcentral sulcus region, but it did not differ significantly from the primary activation in the patients with correct localization with respect to proximity to the tumor (P = .38). Furthermore, at functional MR imaging, multiple nonprimary areas were activated, with considerable interindividual variation. Although both MEG and functional MR imaging can provide useful information for neurosurgical planning, in the present study, MEG proved to be superior for locating the central sulcus. Activation of multiple nonprimary cerebral areas may confound the interpretation of functional MR imaging results.","internal_url":"https://www.academia.edu/16962814/Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1","translated_internal_url":"","created_at":"2015-10-18T12:51:11.057-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Sensorimotor_Cortex_Localization_Comparison_of_Magnetoencephalography_Functional_MR_Imaging_and_Intraoperative_Cortical_Mapping_1","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[],"research_interests":[{"id":640,"name":"Radiology","url":"https://www.academia.edu/Documents/in/Radiology"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":153836,"name":"Motor Cortex","url":"https://www.academia.edu/Documents/in/Motor_Cortex"},{"id":277717,"name":"Somatosensory Cortex","url":"https://www.academia.edu/Documents/in/Somatosensory_Cortex"},{"id":295155,"name":"Middle Aged","url":"https://www.academia.edu/Documents/in/Middle_Aged"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":1122411,"name":"Mr Imaging","url":"https://www.academia.edu/Documents/in/Mr_Imaging"},{"id":1425045,"name":"Brain Neoplasms","url":"https://www.academia.edu/Documents/in/Brain_Neoplasms"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="13760982"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/13760982/Cognitive_Control_in_Auditory_Working_Memory_Is_Enhanced_in_Musicians"><img alt="Research paper thumbnail of Cognitive Control in Auditory Working Memory Is Enhanced in Musicians" class="work-thumbnail" src="https://attachments.academia-assets.com/44983679/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/13760982/Cognitive_Control_in_Auditory_Working_Memory_Is_Enhanced_in_Musicians">Cognitive Control in Auditory Working Memory Is Enhanced in Musicians</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ChristopherBailey6">Christopher Bailey</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a></span></div><div class="wp-workCard_item"><span>PLoS ONE</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ade1a6adc3a7fcf60885c407837b5461" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44983679,"asset_id":13760982,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44983679/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="13760982"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="13760982"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13760982; 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Behavioural evidence indicates a general enhancement of both working memory and attention in musicians. It is possible that musicians, due to their training, are better able to maintain focus on task-relevant stimuli, a skill which is crucial to working memory. We measured the blood oxygenation-level dependent (BOLD) activation signal in musicians and nonmusicians during working memory of musical sounds to determine the relation among performance, musical competence and generally enhanced cognition. All participants easily distinguished the stimuli. We tested the hypothesis that musicians nonetheless would perform better, and that differential brain activity would mainly be present in cortical areas involved in cognitive control such as the lateral prefrontal cortex. The musicians performed better as reflected in reaction times and error rates. Musicians also had larger BOLD responses than non-musicians in neuronal networks that sustain attention and cognitive control, including regions of the lateral prefrontal cortex, lateral parietal cortex, insula, and putamen in the right hemisphere, and bilaterally in the posterior dorsal prefrontal cortex and anterior cingulate gyrus. The relationship between the task performance and the magnitude of the BOLD response was more positive in musicians than in non-musicians, particularly during the most difficult working memory task. The results confirm previous findings that neural activity increases during enhanced working memory performance. The results also suggest that superior working memory task performance in musicians rely on an enhanced ability to exert sustained cognitive control. This cognitive benefit in musicians may be a consequence of focused musical training.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"PLoS ONE","grobid_abstract_attachment_id":44983679},"translated_abstract":null,"internal_url":"https://www.academia.edu/13760982/Cognitive_Control_in_Auditory_Working_Memory_Is_Enhanced_in_Musicians","translated_internal_url":"","created_at":"2015-07-07T12:38:48.197-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32876893,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":2545675,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":17931042,"co_author_invite_id":null,"email":"a***t@gjedde.nu","affiliation":"University of Copenhagen","display_order":0,"name":"Albert Gjedde","title":"Cognitive Control in Auditory Working Memory Is Enhanced in Musicians"},{"id":2545680,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":null,"co_author_invite_id":309770,"email":"g***e@sund.ku.dk","display_order":4194304,"name":"Albert Gjedde","title":"Cognitive Control in Auditory Working Memory Is Enhanced in Musicians"},{"id":2545685,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":49669980,"co_author_invite_id":153262,"email":"e***o@helsinki.fi","display_order":6291456,"name":"Elvira Brattico","title":"Cognitive Control in Auditory Working Memory Is Enhanced in Musicians"},{"id":2545688,"work_id":13760982,"tagging_user_id":32876893,"tagged_user_id":null,"co_author_invite_id":313072,"email":"e***o@supereva.it","display_order":7340032,"name":"Elvira Brattico","title":"Cognitive Control in Auditory Working Memory Is Enhanced in 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class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962813/MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY">MAGNETOENCEPHALOGRAPHY IN NEUROSURGERY</a></div><div class="wp-workCard_item"><span>Neurosurgery</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c92fd27bb2147553d98ac4a4a55de330" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279945,"asset_id":16962813,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279945/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span 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METHODS: MEG maps magnetic fields generated by electric currents in the brain, and allows the localization of brain areas producing evoked sensory responses and spontaneous electromagnetic activity. The identified sources can be integrated with other imaging modalities, e.g., with magnetic resonance imaging scans of individual patients with brain tumors or intractable epilepsy, or with other types of brain imaging data. RESULTS: MEG measurements using modern whole-scalp instruments assist in tailoring individual therapies for neurosurgical patients by producing maps of functionally irretrievable cortical areas and by identifying cortical sources of interictal and ictal epileptiform activity. The excellent time resolution of MEG enables tracking of complex spaciotemporal source patterns, helping, for example, with the separation of the epileptic pacemaker from propagated activity. The combination of noninvasive mapping of subcortical pathways by magnetic resonance imaging diffusion tensor imaging with MEG source localization will, in the near future, provide even more accurate navigational tools for preoperative planning. Other possible future applications of MEG include the noninvasive estimation of language lateralization and the follow-up of brain plasticity elicited by central or peripheral neural lesions or during the treatment of chronic pain. CONCLUSION: MEG is a mature technique suitable for producing preoperative \"road maps\" of eloquent cortical areas and for localizing epileptiform activity.","publication_date":{"day":null,"month":null,"year":2007,"errors":{}},"publication_name":"Neurosurgery","grobid_abstract_attachment_id":39279945},"translated_abstract":null,"internal_url":"https://www.academia.edu/16962813/MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY","translated_internal_url":"","created_at":"2015-10-18T12:51:10.873-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":39279945,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279945/thumbnails/1.jpg","file_name":"0912f506173af2421d000000.pdf","download_url":"https://www.academia.edu/attachments/39279945/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279945/0912f506173af2421d000000-libre.pdf?1445197905=\u0026response-content-disposition=attachment%3B+filename%3DMAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf\u0026Expires=1732398318\u0026Signature=MdPN85AKNrTeiB26qZkhJJA8OKBm8ppSuJzbFt3TyKmtsLWf5BPyL4Q6IQn-INfqFlRHucpDtRbGjiel~~VkUry0BGE5quICY0tMnXGfpVzyuWuYbhSlTaCyTplhUArTnr~4ZUCid3M45Rdj0nV31j0VBscZYZ7KWX-TbsL3zawBGU9Tabpo1U99137hgpG91XuhJW2jcZE8w9sY-6MOKysN42Gge4uSPSsr3CuuazOkSYIQouu1Ololcgtcx-YZl5qtjU8Lp-UqHLLGMT6jV9ykqlMpMCfIXsVdqaqClXKQuKRgFCUchCmMfLu9KR76qC9K~QwODDgrOtm8sPVGoQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY","translated_slug":"","page_count":20,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[{"id":39279945,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279945/thumbnails/1.jpg","file_name":"0912f506173af2421d000000.pdf","download_url":"https://www.academia.edu/attachments/39279945/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"MAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279945/0912f506173af2421d000000-libre.pdf?1445197905=\u0026response-content-disposition=attachment%3B+filename%3DMAGNETOENCEPHALOGRAPHY_IN_NEUROSURGERY.pdf\u0026Expires=1732398318\u0026Signature=MdPN85AKNrTeiB26qZkhJJA8OKBm8ppSuJzbFt3TyKmtsLWf5BPyL4Q6IQn-INfqFlRHucpDtRbGjiel~~VkUry0BGE5quICY0tMnXGfpVzyuWuYbhSlTaCyTplhUArTnr~4ZUCid3M45Rdj0nV31j0VBscZYZ7KWX-TbsL3zawBGU9Tabpo1U99137hgpG91XuhJW2jcZE8w9sY-6MOKysN42Gge4uSPSsr3CuuazOkSYIQouu1Ololcgtcx-YZl5qtjU8Lp-UqHLLGMT6jV9ykqlMpMCfIXsVdqaqClXKQuKRgFCUchCmMfLu9KR76qC9K~QwODDgrOtm8sPVGoQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":650,"name":"Neurosurgery","url":"https://www.academia.edu/Documents/in/Neurosurgery"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":1765793,"name":"Brain Diseases","url":"https://www.academia.edu/Documents/in/Brain_Diseases"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962812"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962812/Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration"><img alt="Research paper thumbnail of Significance of the second somatosensory cortex in sensorimotor integration" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962812/Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration">Significance of the second somatosensory cortex in sensorimotor integration</a></div><div class="wp-workCard_item"><span>NeuroReport</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The functional significance of the second somatosensory cortex (SII) is poorly understood. Howeve...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The functional significance of the second somatosensory cortex (SII) is poorly understood. However, lesion and cortical stimulation studies indicate that SII may be involved in sensory aspects of tactile learning and in movement control. In the present study, we explored a possible role of SII in sensorimotor integration in humans using a multichannel magnetometer. Somatosensory evoked fields (SEFs) from SII to electrical stimulation of left and right median nerves were recorded in six healthy volunteers during rest and in different test conditions. Continuous cutaneous stimulation of the right hand or face reduced the SEFs to both left and right median nerve stimulation. Right-sided finger movements increased the SEFs to right, but not left, median nerve stimulation. The responses were equally enhanced by simple finger flexion movement and by a complex finger sequence. The suppression of SEFs by competing cutaneous inputs from different areas of the body indicates that the neurones underlying the responses receive inputs from large, bilateral receptive fields. The enhancement of sensory reactions to signals from the actively moving limb but not to those from the opposite limb indicates a spatial tuning of the SII neurones to behaviourally relevant input channels, also suggesting that SII is important for the integration of sensory information to motor programmes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962812"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962812"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962812; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962812]").text(description); $(".js-view-count[data-work-id=16962812]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962812; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962812']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962812, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=16962812]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962812,"title":"Significance of the second somatosensory cortex in sensorimotor integration","translated_title":"","metadata":{"abstract":"The functional significance of the second somatosensory cortex (SII) is poorly understood. However, lesion and cortical stimulation studies indicate that SII may be involved in sensory aspects of tactile learning and in movement control. In the present study, we explored a possible role of SII in sensorimotor integration in humans using a multichannel magnetometer. Somatosensory evoked fields (SEFs) from SII to electrical stimulation of left and right median nerves were recorded in six healthy volunteers during rest and in different test conditions. Continuous cutaneous stimulation of the right hand or face reduced the SEFs to both left and right median nerve stimulation. Right-sided finger movements increased the SEFs to right, but not left, median nerve stimulation. The responses were equally enhanced by simple finger flexion movement and by a complex finger sequence. The suppression of SEFs by competing cutaneous inputs from different areas of the body indicates that the neurones underlying the responses receive inputs from large, bilateral receptive fields. The enhancement of sensory reactions to signals from the actively moving limb but not to those from the opposite limb indicates a spatial tuning of the SII neurones to behaviourally relevant input channels, also suggesting that SII is important for the integration of sensory information to motor programmes.","publication_date":{"day":null,"month":null,"year":1996,"errors":{}},"publication_name":"NeuroReport"},"translated_abstract":"The functional significance of the second somatosensory cortex (SII) is poorly understood. However, lesion and cortical stimulation studies indicate that SII may be involved in sensory aspects of tactile learning and in movement control. In the present study, we explored a possible role of SII in sensorimotor integration in humans using a multichannel magnetometer. Somatosensory evoked fields (SEFs) from SII to electrical stimulation of left and right median nerves were recorded in six healthy volunteers during rest and in different test conditions. Continuous cutaneous stimulation of the right hand or face reduced the SEFs to both left and right median nerve stimulation. Right-sided finger movements increased the SEFs to right, but not left, median nerve stimulation. The responses were equally enhanced by simple finger flexion movement and by a complex finger sequence. The suppression of SEFs by competing cutaneous inputs from different areas of the body indicates that the neurones underlying the responses receive inputs from large, bilateral receptive fields. The enhancement of sensory reactions to signals from the actively moving limb but not to those from the opposite limb indicates a spatial tuning of the SII neurones to behaviourally relevant input channels, also suggesting that SII is important for the integration of sensory information to motor programmes.","internal_url":"https://www.academia.edu/16962812/Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration","translated_internal_url":"","created_at":"2015-10-18T12:51:10.785-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Significance_of_the_second_somatosensory_cortex_in_sensorimotor_integration","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":66092,"name":"Sensorimotor integration","url":"https://www.academia.edu/Documents/in/Sensorimotor_integration"},{"id":84745,"name":"Movement","url":"https://www.academia.edu/Documents/in/Movement"},{"id":86150,"name":"Touch","url":"https://www.academia.edu/Documents/in/Touch"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male"},{"id":119665,"name":"Reaction Time","url":"https://www.academia.edu/Documents/in/Reaction_Time"},{"id":277717,"name":"Somatosensory Cortex","url":"https://www.academia.edu/Documents/in/Somatosensory_Cortex"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":1000427,"name":"Reference Values","url":"https://www.academia.edu/Documents/in/Reference_Values"},{"id":1028516,"name":"Fingers","url":"https://www.academia.edu/Documents/in/Fingers"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"}],"urls":[]}, dispatcherData: dispatcherData }); 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'We measured somatosensory evoked magnetic 6dds (SEFs) to median nerve stimulation with a 122--channel helmetshaped magnetometer in 10 healthy subjects. ]n five, the magnetic field patterns suggested long-Iaten'! activation of the ipsilateral SMI. Source locations foun by current dipole fitting corresponded to the SMI hand area, as determined by contralateral stimulation. Further evidence for the origin of the ipsilateral responses in SMI 1t'aJ provided by the suppression of these responses during movement of the contralateral fingers. Sensory input to ipsilateral SMI could playa role in sensorimotor integration of bilateral movements.","publication_date":{"day":null,"month":null,"year":1995,"errors":{}},"publication_name":"NeuroReport","grobid_abstract_attachment_id":39279943},"translated_abstract":null,"internal_url":"https://www.academia.edu/16962811/Activation_of_ipsilateral_primary_sensorimotor_cortex_by_median_nerve_stimulation","translated_internal_url":"","created_at":"2015-10-18T12:51:10.698-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":39279943,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279943/thumbnails/1.jpg","file_name":"02e7e52891a92408f1000000.pdf","download_url":"https://www.academia.edu/attachments/39279943/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Activation_of_ipsilateral_primary_sensor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279943/02e7e52891a92408f1000000-libre.pdf?1445197907=\u0026response-content-disposition=attachment%3B+filename%3DActivation_of_ipsilateral_primary_sensor.pdf\u0026Expires=1732398318\u0026Signature=OL6-1HJvL~vCrgT-xSjnOtKnbFNU6rZGxXUxcnWBG06BBC6j~izuMvyLfqrikqFVo0EFarIVT0TqnRLIycYmNK0oYL7TmS5NaJzrUchYwLFhwmhGkuNSqXcEFLSclOFZbi8IEdpZcqmm40l5eUmYeoxg6JPP1tdnWV9bpFz7wuRazL3VGRjtU7hlWyZFekOOKlJt6rq48438N74yEjeQ250NdspWhW8v2uT7vS1Uj~6HY6Ti6kkl4hcaPBmXuhDmbM-PzMtQQgqpLT14vYykxLsBs61V-aLI4d4CUx-S7zKT3ZUrR5w5omgg3KMRpnomiOkIJxUrgzMU5Uzb1vJTUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Activation_of_ipsilateral_primary_sensorimotor_cortex_by_median_nerve_stimulation","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti Korvenoja","url":"https://independent.academia.edu/AnttiKorvenoja"},"attachments":[{"id":39279943,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279943/thumbnails/1.jpg","file_name":"02e7e52891a92408f1000000.pdf","download_url":"https://www.academia.edu/attachments/39279943/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Activation_of_ipsilateral_primary_sensor.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279943/02e7e52891a92408f1000000-libre.pdf?1445197907=\u0026response-content-disposition=attachment%3B+filename%3DActivation_of_ipsilateral_primary_sensor.pdf\u0026Expires=1732398318\u0026Signature=OL6-1HJvL~vCrgT-xSjnOtKnbFNU6rZGxXUxcnWBG06BBC6j~izuMvyLfqrikqFVo0EFarIVT0TqnRLIycYmNK0oYL7TmS5NaJzrUchYwLFhwmhGkuNSqXcEFLSclOFZbi8IEdpZcqmm40l5eUmYeoxg6JPP1tdnWV9bpFz7wuRazL3VGRjtU7hlWyZFekOOKlJt6rq48438N74yEjeQ250NdspWhW8v2uT7vS1Uj~6HY6Ti6kkl4hcaPBmXuhDmbM-PzMtQQgqpLT14vYykxLsBs61V-aLI4d4CUx-S7zKT3ZUrR5w5omgg3KMRpnomiOkIJxUrgzMU5Uzb1vJTUA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":78467,"name":"Cerebral Cortex","url":"https://www.academia.edu/Documents/in/Cerebral_Cortex"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female"},{"id":153836,"name":"Motor Cortex","url":"https://www.academia.edu/Documents/in/Motor_Cortex"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":1292780,"name":"Median Nerve","url":"https://www.academia.edu/Documents/in/Median_Nerve"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962810"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962810/Effects_of_the_interstimulus_interval_on_somatosensory_go_no_go_event_related_potentials"><img alt="Research paper thumbnail of Effects of the interstimulus interval on somatosensory go/no-go event-related potentials" class="work-thumbnail" src="https://attachments.academia-assets.com/42368521/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962810/Effects_of_the_interstimulus_interval_on_somatosensory_go_no_go_event_related_potentials">Effects of the interstimulus interval on somatosensory go/no-go event-related potentials</a></div><div class="wp-workCard_item"><span>NeuroReport</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study investigated the characteristics of event-related potentials using somatosensory go/no...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study investigated the characteristics of event-related potentials using somatosensory go/no-go paradigms. We manipulated the interstimulus interval and analyzed its effect on the peak amplitude and latency of the N140 and P300 components. The amplitude of N140 increased as the interstimulus interval increased, and was significantly larger in no-go than in go trials at the 1-s and 2-s interstimulus intervals, but not the 4-s and 6-s interstimulus intervals. The amplitude of P300 also increased with the interstimulus interval, and was significantly larger in no-go than in go trials at all interstimulus intervals. The reaction time in go trials was longer with increasing interstimulus interval. This study suggests that brain activities associated with go/no-go decisional processes are influenced by the interstimulus interval.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e237958fb95972f29b383fe5b65199e8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42368521,"asset_id":16962810,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42368521/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962810"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962810"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962810; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16962810]").text(description); $(".js-view-count[data-work-id=16962810]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16962810; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16962810']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16962810, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e237958fb95972f29b383fe5b65199e8" } } $('.js-work-strip[data-work-id=16962810]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16962810,"title":"Effects of the interstimulus interval on somatosensory go/no-go event-related potentials","translated_title":"","metadata":{"abstract":"This study investigated the characteristics of event-related potentials using somatosensory go/no-go paradigms. We manipulated the interstimulus interval and analyzed its effect on the peak amplitude and latency of the N140 and P300 components. The amplitude of N140 increased as the interstimulus interval increased, and was significantly larger in no-go than in go trials at the 1-s and 2-s interstimulus intervals, but not the 4-s and 6-s interstimulus intervals. The amplitude of P300 also increased with the interstimulus interval, and was significantly larger in no-go than in go trials at all interstimulus intervals. The reaction time in go trials was longer with increasing interstimulus interval. This study suggests that brain activities associated with go/no-go decisional processes are influenced by the interstimulus interval.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"NeuroReport"},"translated_abstract":"This study investigated the characteristics of event-related potentials using somatosensory go/no-go paradigms. We manipulated the interstimulus interval and analyzed its effect on the peak amplitude and latency of the N140 and P300 components. The amplitude of N140 increased as the interstimulus interval increased, and was significantly larger in no-go than in go trials at the 1-s and 2-s interstimulus intervals, but not the 4-s and 6-s interstimulus intervals. The amplitude of P300 also increased with the interstimulus interval, and was significantly larger in no-go than in go trials at all interstimulus intervals. The reaction time in go trials was longer with increasing interstimulus interval. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16962809"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16962809/Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks"><img alt="Research paper thumbnail of Differences between auditory evoked responses recorded during spatial and nonspatial working memory tasks" class="work-thumbnail" src="https://attachments.academia-assets.com/39279942/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16962809/Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks">Differences between auditory evoked responses recorded during spatial and nonspatial working memory tasks</a></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d631d9f2a57908337d53a06f35c993d9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39279942,"asset_id":16962809,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39279942/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16962809"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16962809"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16962809; 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The use of modern neuroimaging techniques has allowed for the determination that different brain structures may be specifically activated during working memory processing of pitch and location of sound. The time course of these task-related differences, however, remains uncertain. In the present study, we performed simultaneous whole-head electroencephalogram and magnetoencephalogram recordings, using a new behavioral paradigm, to investigate the dynamics of differences between \"what\" and \"where\" evoked responses in the auditory system as a function of memory load. In the location task the latency of the N1m was shorter and its generator was situated more inferiorly than in the pitch task. Working memory processing of the tonal frequency enhanced the amplitude of the N2 component, as well as the negative-going deflection at a latency around 400 ms. A memory-load-dependent task-related difference was found in the positive slow wave which was higher during the location than pitch task at the low load. Late slow waves were affected by memory load but not type of task. These results suggest that separate neuronal networks are involved in the attribute-specific analysis of auditory stimuli and their encoding into working memory, whereas the maintenance of auditory information is accomplished by a common, nonspecific neuronal network.","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"NeuroImage","grobid_abstract_attachment_id":39279942},"translated_abstract":null,"internal_url":"https://www.academia.edu/16962809/Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks","translated_internal_url":"","created_at":"2015-10-18T12:51:10.542-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36345490,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":39279942,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39279942/thumbnails/1.jpg","file_name":"54760e4c0cf29afed6141c89.pdf","download_url":"https://www.academia.edu/attachments/39279942/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Differences_between_auditory_evoked_resp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39279942/54760e4c0cf29afed6141c89-libre.pdf?1445197907=\u0026response-content-disposition=attachment%3B+filename%3DDifferences_between_auditory_evoked_resp.pdf\u0026Expires=1732398318\u0026Signature=dStKFI8IUWGOXsOWwdNIpWUYdWd95B7A0yCGQl1MlLGehDqqDexkDa3z2YAfPQcfljyheXjGVRfb2Qsk~rKTUW0BxQptUh0GyWVocNXW9ahze0jCU5j-zwUGQM0Sl6tvIEhyOXpwpuVa8oAToa2iAj3Zm864iIGtU1FIj0Qf9AGnr8wjlzXvUvF2wAdFCkW9Fq635CtwHRP4ehmWLHga8g3q9ga3O7dLNjAXckIctsdovbCrTZHKehNvf2zP9wGdvbBTQSitblzrlHSpEOU3iyVgkIEeS4negO6tCpG3jj-pKw0eqS1Tv9z4adHG64JjQbPWBENVo~qoPivVlYA2mA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Differences_between_auditory_evoked_responses_recorded_during_spatial_and_nonspatial_working_memory_tasks","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":36345490,"first_name":"Antti","middle_initials":null,"last_name":"Korvenoja","page_name":"AnttiKorvenoja","domain_name":"independent","created_at":"2015-10-16T06:08:59.586-07:00","display_name":"Antti 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$a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16700184"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16700184/Spatiotemporal_imaging_of_motion_processing_in_human_visual_cortex"><img alt="Research paper thumbnail of Spatiotemporal imaging of motion processing in human visual cortex" class="work-thumbnail" src="https://attachments.academia-assets.com/42413893/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16700184/Spatiotemporal_imaging_of_motion_processing_in_human_visual_cortex">Spatiotemporal imaging of motion processing in human visual cortex</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/SimpsonGregory">Gregory Simpson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AnttiKorvenoja">Antti Korvenoja</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RTootell">R. Tootell</a></span></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 1996</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="acdedd85d366cb6caa61154600753aed" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42413893,"asset_id":16700184,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42413893/download_file?st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&st=MTczMjM5NDcxOCw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16700184"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16700184"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16700184; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16700184]").text(description); $(".js-view-count[data-work-id=16700184]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16700184; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16700184']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 16700184, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "acdedd85d366cb6caa61154600753aed" } } $('.js-work-strip[data-work-id=16700184]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16700184,"title":"Spatiotemporal imaging of motion processing in human visual cortex","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":1996,"errors":{}},"publication_name":"NeuroImage"},"translated_abstract":null,"internal_url":"https://www.academia.edu/16700184/Spatiotemporal_imaging_of_motion_processing_in_human_visual_cortex","translated_internal_url":"","created_at":"2015-10-12T08:43:24.538-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36083888,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7104777,"work_id":16700184,"tagging_user_id":36083888,"tagged_user_id":32342049,"co_author_invite_id":null,"email":"a***e@gmail.com","affiliation":"University of California, San Diego","display_order":0,"name":"Anders Dale","title":"Spatiotemporal imaging of motion processing in human visual cortex"},{"id":7104786,"work_id":16700184,"tagging_user_id":36083888,"tagged_user_id":null,"co_author_invite_id":394187,"email":"s***o@nmr.mgh.harvard.edu","display_order":4194304,"name":"S. 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