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Motor recovery beginning 23 years after ischemic stroke.</div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/38876823" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="cc7f23d16e93a08d7750ae6b68fb066e" rel="nofollow" data-download="{"attachment_id":58973401,"asset_id":38876823,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/58973401/download_file?st=MTczMjQwMjAzNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="109814020" href="https://uni-oldenburg.academia.edu/PeterS%C3%B6r%C3%B6s">Peter Sörös</a><script data-card-contents-for-user="109814020" type="text/json">{"id":109814020,"first_name":"Peter","last_name":"Sörös","domain_name":"uni-oldenburg","page_name":"PeterSörös","display_name":"Peter Sörös","profile_url":"https://uni-oldenburg.academia.edu/PeterS%C3%B6r%C3%B6s?f_ri=9224","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_38876823 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="38876823"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 38876823, container: ".js-paper-rank-work_38876823", }); 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$(".js-view-count[data-work-id=38876823]").text(description); $(".js-view-count-work_38876823").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_38876823").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="38876823"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14004" href="https://www.academia.edu/Documents/in/Stroke_rehabilitation">Stroke rehabilitation</a>, <script data-card-contents-for-ri="14004" type="text/json">{"id":14004,"name":"Stroke rehabilitation","url":"https://www.academia.edu/Documents/in/Stroke_rehabilitation?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="61234" href="https://www.academia.edu/Documents/in/Stroke">Stroke</a><script data-card-contents-for-ri="61234" type="text/json">{"id":61234,"name":"Stroke","url":"https://www.academia.edu/Documents/in/Stroke?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=38876823]'), work: {"id":38876823,"title":"Motor recovery beginning 23 years after ischemic stroke","created_at":"2019-04-20T13:47:40.467-07:00","url":"https://www.academia.edu/38876823/Motor_recovery_beginning_23_years_after_ischemic_stroke?f_ri=9224","dom_id":"work_38876823","summary":"Sörös P, Teasell R, Hanley DF, Spence JD. Motor recovery beginning 23 years after ischemic stroke.","downloadable_attachments":[{"id":58973401,"asset_id":38876823,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":109814020,"first_name":"Peter","last_name":"Sörös","domain_name":"uni-oldenburg","page_name":"PeterSörös","display_name":"Peter Sörös","profile_url":"https://uni-oldenburg.academia.edu/PeterS%C3%B6r%C3%B6s?f_ri=9224","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":14004,"name":"Stroke rehabilitation","url":"https://www.academia.edu/Documents/in/Stroke_rehabilitation?f_ri=9224","nofollow":false},{"id":61234,"name":"Stroke","url":"https://www.academia.edu/Documents/in/Stroke?f_ri=9224","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_30406070" data-work_id="30406070" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/30406070/Localization_of_brain_function_using_magnetic_resonance_imaging">Localization of brain function using magnetic resonance imaging</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/30406070" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="35c9537325a76b62fd3c5db6bfaafec2" rel="nofollow" data-download="{"attachment_id":50851270,"asset_id":30406070,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50851270/download_file?st=MTczMjQwMjAzNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="57892780" href="https://independent.academia.edu/MarkRCohen">Mark R. 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This study tested... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1487553" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">While neuroimaging studies implicate medial rostral prefrontal cortex (mrPFC) in self-referential processing, simulation accounts of social cognition suggest that this region also supports thinking about other people. This study tested the prediction that mrPFC might be involved in appraising the personality traits of another person to the degree that this person is perceived as similar to oneself. We also examined whether recruiting common processes for thinking about oneself and others might impact on subsequent memory for those judgments. Functional MRI was used while two factors were crossed: (i) the requirement to engage in personality trait or episodic source memory judgments and (ii) the reference for these judgments (i.e., oneself or a friend). The results link haemodynamic changes in mrPFC to both personality judgments about oneself and subsequent episodic memory retrieval of these judgments. The degree to which BOLD signal in this region was also associated with thinking about others correlated with perceived similarity in both tasks, thus corroborating simulation accounts. Moreover, participants who perceived themselves as having similar traits to their friends tended to be poorer at remembering whether they had made trait judgments in reference to themselves or their friend. This behavioral effect was reflected in the BOLD signal in mrPFC: there was a positive correlation between signal change for self versus friend judgments and subsequent memory for the reference of such judgments. The results suggest that investigations of mrPFC activity in the context of self/other judgments should take into account this psychological similarity effect.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1487553" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="edba8cf07c1bf7436512d0c73ced18b5" rel="nofollow" data-download="{"attachment_id":50951479,"asset_id":1487553,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50951479/download_file?st=MTczMjQwMjAzNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="223372" href="https://ucl.academia.edu/PaulBurgess">Paul Burgess</a><script data-card-contents-for-user="223372" type="text/json">{"id":223372,"first_name":"Paul","last_name":"Burgess","domain_name":"ucl","page_name":"PaulBurgess","display_name":"Paul Burgess","profile_url":"https://ucl.academia.edu/PaulBurgess?f_ri=9224","photo":"https://0.academia-photos.com/223372/500715/629824/s65_paul.burgess.jpg"}</script></span></span></li><li class="js-paper-rank-work_1487553 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1487553"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1487553, container: ".js-paper-rank-work_1487553", }); 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$(".js-view-count[data-work-id=1487553]").text(description); $(".js-view-count-work_1487553").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1487553").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1487553"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">23</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="2672" href="https://www.academia.edu/Documents/in/Personality">Personality</a>, <script data-card-contents-for-ri="2672" type="text/json">{"id":2672,"name":"Personality","url":"https://www.academia.edu/Documents/in/Personality?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4626" href="https://www.academia.edu/Documents/in/Social_Cognition">Social Cognition</a>, <script data-card-contents-for-ri="4626" type="text/json">{"id":4626,"name":"Social Cognition","url":"https://www.academia.edu/Documents/in/Social_Cognition?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6200" href="https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging">Magnetic Resonance Imaging</a>, <script data-card-contents-for-ri="6200" type="text/json">{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a><script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1487553]'), work: {"id":1487553,"title":"When I think about me and simulate you: medial rostral prefrontal cortex and self-referential processes","created_at":"2012-03-26T19:04:56.896-07:00","url":"https://www.academia.edu/1487553/When_I_think_about_me_and_simulate_you_medial_rostral_prefrontal_cortex_and_self_referential_processes?f_ri=9224","dom_id":"work_1487553","summary":"While neuroimaging studies implicate medial rostral prefrontal cortex (mrPFC) in self-referential processing, simulation accounts of social cognition suggest that this region also supports thinking about other people. This study tested the prediction that mrPFC might be involved in appraising the personality traits of another person to the degree that this person is perceived as similar to oneself. We also examined whether recruiting common processes for thinking about oneself and others might impact on subsequent memory for those judgments. Functional MRI was used while two factors were crossed: (i) the requirement to engage in personality trait or episodic source memory judgments and (ii) the reference for these judgments (i.e., oneself or a friend). The results link haemodynamic changes in mrPFC to both personality judgments about oneself and subsequent episodic memory retrieval of these judgments. The degree to which BOLD signal in this region was also associated with thinking about others correlated with perceived similarity in both tasks, thus corroborating simulation accounts. Moreover, participants who perceived themselves as having similar traits to their friends tended to be poorer at remembering whether they had made trait judgments in reference to themselves or their friend. This behavioral effect was reflected in the BOLD signal in mrPFC: there was a positive correlation between signal change for self versus friend judgments and subsequent memory for the reference of such judgments. The results suggest that investigations of mrPFC activity in the context of self/other judgments should take into account this psychological similarity effect.","downloadable_attachments":[{"id":50951479,"asset_id":1487553,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":223372,"first_name":"Paul","last_name":"Burgess","domain_name":"ucl","page_name":"PaulBurgess","display_name":"Paul Burgess","profile_url":"https://ucl.academia.edu/PaulBurgess?f_ri=9224","photo":"https://0.academia-photos.com/223372/500715/629824/s65_paul.burgess.jpg"}],"research_interests":[{"id":2672,"name":"Personality","url":"https://www.academia.edu/Documents/in/Personality?f_ri=9224","nofollow":false},{"id":4626,"name":"Social Cognition","url":"https://www.academia.edu/Documents/in/Social_Cognition?f_ri=9224","nofollow":false},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":18440,"name":"Social Perception","url":"https://www.academia.edu/Documents/in/Social_Perception?f_ri=9224"},{"id":28576,"name":"Prefrontal Cortex","url":"https://www.academia.edu/Documents/in/Prefrontal_Cortex?f_ri=9224"},{"id":32361,"name":"Episodic Memory","url":"https://www.academia.edu/Documents/in/Episodic_Memory?f_ri=9224"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping?f_ri=9224"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=9224"},{"id":61534,"name":"Thinking","url":"https://www.academia.edu/Documents/in/Thinking?f_ri=9224"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans?f_ri=9224"},{"id":66843,"name":"Judgment","url":"https://www.academia.edu/Documents/in/Judgment?f_ri=9224"},{"id":99038,"name":"Process Simulation","url":"https://www.academia.edu/Documents/in/Process_Simulation?f_ri=9224"},{"id":103260,"name":"Neuroimage","url":"https://www.academia.edu/Documents/in/Neuroimage?f_ri=9224"},{"id":119665,"name":"Reaction Time","url":"https://www.academia.edu/Documents/in/Reaction_Time?f_ri=9224"},{"id":133057,"name":"Young Adult","url":"https://www.academia.edu/Documents/in/Young_Adult?f_ri=9224"},{"id":232673,"name":"Source Memory","url":"https://www.academia.edu/Documents/in/Source_Memory?f_ri=9224"},{"id":321147,"name":"Self Concept","url":"https://www.academia.edu/Documents/in/Self_Concept?f_ri=9224"},{"id":380825,"name":"Oxygen","url":"https://www.academia.edu/Documents/in/Oxygen?f_ri=9224"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult?f_ri=9224"},{"id":1120028,"name":"Friends","url":"https://www.academia.edu/Documents/in/Friends?f_ri=9224"},{"id":1843330,"name":"Personality Trait","url":"https://www.academia.edu/Documents/in/Personality_Trait?f_ri=9224"},{"id":2467548,"name":"Neuropsychological Tests","url":"https://www.academia.edu/Documents/in/Neuropsychological_Tests?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_13304383" data-work_id="13304383" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/13304383/Effects_of_nonspatial_selective_and_divided_visual_attention_on_fMRI_BOLD_responses">Effects of nonspatial selective and divided visual attention on fMRI BOLD responses</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13304383" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fcace753806c521e42b26b7648c0d0f3" rel="nofollow" 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window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_13304383"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_13304383 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="13304383"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 13304383; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=13304383]").text(description); $(".js-view-count-work_13304383").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_13304383").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="13304383"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">21</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="1680" href="https://www.academia.edu/Documents/in/Selective_Attention">Selective Attention</a>, <script data-card-contents-for-ri="1680" type="text/json">{"id":1680,"name":"Selective Attention","url":"https://www.academia.edu/Documents/in/Selective_Attention?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="4008" href="https://www.academia.edu/Documents/in/Visual_attention">Visual attention</a>, <script data-card-contents-for-ri="4008" type="text/json">{"id":4008,"name":"Visual attention","url":"https://www.academia.edu/Documents/in/Visual_attention?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5187" href="https://www.academia.edu/Documents/in/Statistical_Analysis">Statistical Analysis</a>, <script data-card-contents-for-ri="5187" type="text/json">{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5359" href="https://www.academia.edu/Documents/in/Visual_perception">Visual perception</a><script data-card-contents-for-ri="5359" type="text/json">{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=13304383]'), work: {"id":13304383,"title":"Effects of nonspatial selective and 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Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=9224","nofollow":false},{"id":5359,"name":"Visual perception","url":"https://www.academia.edu/Documents/in/Visual_perception?f_ri=9224","nofollow":false},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224"},{"id":7736,"name":"Attention","url":"https://www.academia.edu/Documents/in/Attention?f_ri=9224"},{"id":8538,"name":"Working Memory","url":"https://www.academia.edu/Documents/in/Working_Memory?f_ri=9224"},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224"},{"id":28576,"name":"Prefrontal Cortex","url":"https://www.academia.edu/Documents/in/Prefrontal_Cortex?f_ri=9224"},{"id":38756,"name":"Color Perception","url":"https://www.academia.edu/Documents/in/Color_Perception?f_ri=9224"},{"id":49816,"name":"Divided Attention","url":"https://www.academia.edu/Documents/in/Divided_Attention?f_ri=9224"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping?f_ri=9224"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans?f_ri=9224"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female?f_ri=9224"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male?f_ri=9224"},{"id":119259,"name":"Magnetic Resonance","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance?f_ri=9224"},{"id":123277,"name":"Posterior Parietal Cortex","url":"https://www.academia.edu/Documents/in/Posterior_Parietal_Cortex?f_ri=9224"},{"id":124303,"name":"Size Perception","url":"https://www.academia.edu/Documents/in/Size_Perception?f_ri=9224"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult?f_ri=9224"},{"id":406036,"name":"Parietal Lobe","url":"https://www.academia.edu/Documents/in/Parietal_Lobe?f_ri=9224"},{"id":505179,"name":"Shape Perception","url":"https://www.academia.edu/Documents/in/Shape_Perception?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_54883866" data-work_id="54883866" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/54883866/Perceiving_emotion_in_expressive_piano_performance_A_functional_MRI_study">Perceiving emotion in expressive piano performance: A functional MRI study</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm 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perception","url":"https://www.academia.edu/Documents/in/Speech_perception?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6062" href="https://www.academia.edu/Documents/in/Anterior_Cingulate">Anterior Cingulate</a>, <script data-card-contents-for-ri="6062" type="text/json">{"id":6062,"name":"Anterior Cingulate","url":"https://www.academia.edu/Documents/in/Anterior_Cingulate?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="34477" href="https://www.academia.edu/Documents/in/Music_Performance">Music Performance</a><script data-card-contents-for-ri="34477" type="text/json">{"id":34477,"name":"Music Performance","url":"https://www.academia.edu/Documents/in/Music_Performance?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=54883866]'), work: {"id":54883866,"title":"Perceiving emotion in expressive piano performance: A functional MRI study","created_at":"2021-10-02T10:43:50.651-07:00","url":"https://www.academia.edu/54883866/Perceiving_emotion_in_expressive_piano_performance_A_functional_MRI_study?f_ri=9224","dom_id":"work_54883866","summary":null,"downloadable_attachments":[{"id":71028258,"asset_id":54883866,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":120288517,"first_name":"fred","last_name":"steinberg","domain_name":"fau","page_name":"fredsteinberg","display_name":"fred steinberg","profile_url":"https://fau.academia.edu/fredsteinberg?f_ri=9224","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":5391,"name":"Speech perception","url":"https://www.academia.edu/Documents/in/Speech_perception?f_ri=9224","nofollow":false},{"id":6062,"name":"Anterior Cingulate","url":"https://www.academia.edu/Documents/in/Anterior_Cingulate?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":34477,"name":"Music Performance","url":"https://www.academia.edu/Documents/in/Music_Performance?f_ri=9224","nofollow":false},{"id":337457,"name":"Supplementary Motor Area","url":"https://www.academia.edu/Documents/in/Supplementary_Motor_Area?f_ri=9224"},{"id":406036,"name":"Parietal Lobe","url":"https://www.academia.edu/Documents/in/Parietal_Lobe?f_ri=9224"},{"id":865670,"name":"Parahippocampal 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In magnetic resonance imaging (MRI) ap-plications, one of the main uses is for correction of motion-induced artifacts so that subsequent image analysis would be... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72357052" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Image registration is used in many fields for mapping one image to another. In magnetic resonance imaging (MRI) ap-plications, one of the main uses is for correction of motion-induced artifacts so that subsequent image analysis would be more reliable. 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In magnetic resonance imaging (MRI) ap-plications, one of the main uses is for correction of motion-induced artifacts so that subsequent image analysis would be more reliable. This paper gives an ...","downloadable_attachments":[{"id":81314952,"asset_id":72357052,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":199812118,"first_name":"tram","last_name":"nguyen","domain_name":"independent","page_name":"tramnguyen847","display_name":"tram nguyen","profile_url":"https://independent.academia.edu/tramnguyen847?f_ri=9224","photo":"https://0.academia-photos.com/199812118/61442135/49719222/s65_tram.nguyen.png"}],"research_interests":[{"id":165,"name":"Pathology","url":"https://www.academia.edu/Documents/in/Pathology?f_ri=9224","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=9224","nofollow":false},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false},{"id":8928,"name":"MRI","url":"https://www.academia.edu/Documents/in/MRI?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224"},{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=9224"},{"id":29731,"name":"Image Registration","url":"https://www.academia.edu/Documents/in/Image_Registration?f_ri=9224"},{"id":102218,"name":"Image Restoration","url":"https://www.academia.edu/Documents/in/Image_Restoration?f_ri=9224"},{"id":159012,"name":"Radio Frequency","url":"https://www.academia.edu/Documents/in/Radio_Frequency?f_ri=9224"},{"id":416294,"name":"Magnetic Fields","url":"https://www.academia.edu/Documents/in/Magnetic_Fields?f_ri=9224"},{"id":765332,"name":"Transformations","url":"https://www.academia.edu/Documents/in/Transformations?f_ri=9224"},{"id":2439414,"name":"Magnetic resonance image","url":"https://www.academia.edu/Documents/in/Magnetic_resonance_image?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_22787186" data-work_id="22787186" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/22787186/Human_motor_cortex_activity_during_mental_rotation">Human motor cortex activity during mental rotation</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/22787186" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f7396379474e8c9b76976badf404e916" rel="nofollow" data-download="{"attachment_id":43341907,"asset_id":22787186,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43341907/download_file?st=MTczMjQwMjAzNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="41514352" href="https://univie.academia.edu/ClausLamm">Claus Lamm</a><script data-card-contents-for-user="41514352" type="text/json">{"id":41514352,"first_name":"Claus","last_name":"Lamm","domain_name":"univie","page_name":"ClausLamm","display_name":"Claus Lamm","profile_url":"https://univie.academia.edu/ClausLamm?f_ri=9224","photo":"https://0.academia-photos.com/41514352/12105301/13484090/s65_claus.lamm.jpg_oh_572086ecc9e26a0a1329fe74cc0dd02d_oe_5798e77d"}</script></span></span></li><li class="js-paper-rank-work_22787186 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="22787186"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 22787186, container: ".js-paper-rank-work_22787186", }); });</script></li><li class="js-percentile-work_22787186 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22787186; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_22787186"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_22787186 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="22787186"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22787186; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22787186]").text(description); $(".js-view-count-work_22787186").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_22787186").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="22787186"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">22</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="4165" href="https://www.academia.edu/Documents/in/Fuzzy_Logic">Fuzzy Logic</a>, <script data-card-contents-for-ri="4165" type="text/json">{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6200" href="https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging">Magnetic Resonance Imaging</a>, <script data-card-contents-for-ri="6200" type="text/json">{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="15838" href="https://www.academia.edu/Documents/in/Imagination">Imagination</a><script data-card-contents-for-ri="15838" type="text/json">{"id":15838,"name":"Imagination","url":"https://www.academia.edu/Documents/in/Imagination?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=22787186]'), work: {"id":22787186,"title":"Human motor cortex activity during mental rotation","created_at":"2016-03-04T00:26:28.158-08:00","url":"https://www.academia.edu/22787186/Human_motor_cortex_activity_during_mental_rotation?f_ri=9224","dom_id":"work_22787186","summary":null,"downloadable_attachments":[{"id":43341907,"asset_id":22787186,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":41514352,"first_name":"Claus","last_name":"Lamm","domain_name":"univie","page_name":"ClausLamm","display_name":"Claus Lamm","profile_url":"https://univie.academia.edu/ClausLamm?f_ri=9224","photo":"https://0.academia-photos.com/41514352/12105301/13484090/s65_claus.lamm.jpg_oh_572086ecc9e26a0a1329fe74cc0dd02d_oe_5798e77d"}],"research_interests":[{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=9224","nofollow":false},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":15838,"name":"Imagination","url":"https://www.academia.edu/Documents/in/Imagination?f_ri=9224","nofollow":false},{"id":38511,"name":"Fuzzy Clustering","url":"https://www.academia.edu/Documents/in/Fuzzy_Clustering?f_ri=9224"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping?f_ri=9224"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans?f_ri=9224"},{"id":103260,"name":"Neuroimage","url":"https://www.academia.edu/Documents/in/Neuroimage?f_ri=9224"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male?f_ri=9224"},{"id":115306,"name":"Mental rotation","url":"https://www.academia.edu/Documents/in/Mental_rotation?f_ri=9224"},{"id":123274,"name":"Parietal Cortex","url":"https://www.academia.edu/Documents/in/Parietal_Cortex?f_ri=9224"},{"id":131237,"name":"Cluster Analysis","url":"https://www.academia.edu/Documents/in/Cluster_Analysis?f_ri=9224"},{"id":153836,"name":"Motor Cortex","url":"https://www.academia.edu/Documents/in/Motor_Cortex?f_ri=9224"},{"id":154636,"name":"Cognitive Process","url":"https://www.academia.edu/Documents/in/Cognitive_Process?f_ri=9224"},{"id":312150,"name":"Premotor cortex","url":"https://www.academia.edu/Documents/in/Premotor_cortex?f_ri=9224"},{"id":337457,"name":"Supplementary Motor Area","url":"https://www.academia.edu/Documents/in/Supplementary_Motor_Area?f_ri=9224"},{"id":382075,"name":"Adult","url":"https://www.academia.edu/Documents/in/Adult?f_ri=9224"},{"id":486757,"name":"Random-Effects Models","url":"https://www.academia.edu/Documents/in/Random-Effects_Models?f_ri=9224"},{"id":766410,"name":"Primary Motor Cortex","url":"https://www.academia.edu/Documents/in/Primary_Motor_Cortex?f_ri=9224"},{"id":818658,"name":"Rotation","url":"https://www.academia.edu/Documents/in/Rotation?f_ri=9224"},{"id":1315979,"name":"Time Course","url":"https://www.academia.edu/Documents/in/Time_Course?f_ri=9224"},{"id":1888321,"name":"Dorsolateral Prefrontal Cortex","url":"https://www.academia.edu/Documents/in/Dorsolateral_Prefrontal_Cortex?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_23358464" data-work_id="23358464" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/23358464/Tongue_movements_in_patients_with_skeletal_Class_III_malocclusions_evaluated_with_real_time_balanced_turbo_field_echo_cine_magnetic_resonance_imaging">Tongue movements in patients with skeletal Class III malocclusions evaluated with real-time balanced turbo field echo cine magnetic resonance imaging</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">INTRODUCTION: The aim of this study was to evaluate the position and movements of the tongue in patients with skeletal Class III malocclusion. METHODS: Sixty-six patients (31 male, 35 female) with Class III malocclusion were divided into... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_23358464" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">INTRODUCTION:<br />The aim of this study was to evaluate the position and movements of the tongue in patients with skeletal Class III malocclusion.<br />METHODS:<br />Sixty-six patients (31 male, 35 female) with Class III malocclusion were divided into 3 groups according to cephalometric analysis. The first group comprised 23 patients (13 male, 10 female) with mandibular prognathism, the second group comprised 21 patients (9 male, 12 female) with maxillary retrognathism, and the third group comprised 22 patients (9 male, 13 female) with both maxillary retrognathism and mandibular prognathism. Twenty-two skeletal Class I patients (10 male, 12 female) were also included as the control group.<br />RESULTS:<br />Dentofacial morphology affects the position and the movements of the tongue during deglutition. Contact of the anterior portion of the tongue with the rugae area of the hard palate decreased in the Class III malocclusion groups. The posterior portion of the dorsal tongue was positioned more inferiorly, and the root of the tongue was positioned more inferiorly and anteriorly in patients with Class III malocclusion than in the control group. The tip of the tongue was also in a more anterior position in the Class III groups. When the deglutition stages were evaluated, we observed that the manner of bolus transfer was different in patients with skeletal Class III malocclusion than in those with skeletal Class I malocclusion.<br />CONCLUSIONS:<br />Tongue posture is affected by dentofacial structures, and adaptive changes occur in the tip, dorsum, and root of the tongue. Deglutitive tongue movements in patients with skeletal Class III malocclusion are also different from those with skeletal Class I malocclusion.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/23358464" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ca1f5dc1ba9f2834b1bb2cb50901b204" rel="nofollow" data-download="{"attachment_id":43812626,"asset_id":23358464,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43812626/download_file?st=MTczMjQwMjAzNSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="18340321" href="https://kiprvilladom.academia.edu/NailBulakba%C5%9F%C4%B1">Nail Bulakbaşı</a><script data-card-contents-for-user="18340321" type="text/json">{"id":18340321,"first_name":"Nail","last_name":"Bulakbaşı","domain_name":"kiprvilladom","page_name":"NailBulakbaşı","display_name":"Nail Bulakbaşı","profile_url":"https://kiprvilladom.academia.edu/NailBulakba%C5%9F%C4%B1?f_ri=9224","photo":"https://0.academia-photos.com/18340321/9833240/10958818/s65_nail.bulakba_.jpg"}</script></span></span></li><li class="js-paper-rank-work_23358464 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="23358464"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 23358464, container: ".js-paper-rank-work_23358464", }); });</script></li><li class="js-percentile-work_23358464 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23358464; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_23358464"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_23358464 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="23358464"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23358464; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23358464]").text(description); $(".js-view-count-work_23358464").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_23358464").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="23358464"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="8928" href="https://www.academia.edu/Documents/in/MRI">MRI</a>, <script data-card-contents-for-ri="8928" type="text/json">{"id":8928,"name":"MRI","url":"https://www.academia.edu/Documents/in/MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1670488" href="https://www.academia.edu/Documents/in/Cine_MRI_and_VPI">Cine MRI and VPI</a><script data-card-contents-for-ri="1670488" type="text/json">{"id":1670488,"name":"Cine MRI and VPI","url":"https://www.academia.edu/Documents/in/Cine_MRI_and_VPI?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=23358464]'), work: {"id":23358464,"title":"Tongue movements in patients with skeletal Class III malocclusions evaluated with real-time balanced turbo field echo cine magnetic resonance imaging","created_at":"2016-03-17T02:34:09.045-07:00","url":"https://www.academia.edu/23358464/Tongue_movements_in_patients_with_skeletal_Class_III_malocclusions_evaluated_with_real_time_balanced_turbo_field_echo_cine_magnetic_resonance_imaging?f_ri=9224","dom_id":"work_23358464","summary":"INTRODUCTION:\nThe aim of this study was to evaluate the position and movements of the tongue in patients with skeletal Class III malocclusion.\nMETHODS:\nSixty-six patients (31 male, 35 female) with Class III malocclusion were divided into 3 groups according to cephalometric analysis. The first group comprised 23 patients (13 male, 10 female) with mandibular prognathism, the second group comprised 21 patients (9 male, 12 female) with maxillary retrognathism, and the third group comprised 22 patients (9 male, 13 female) with both maxillary retrognathism and mandibular prognathism. Twenty-two skeletal Class I patients (10 male, 12 female) were also included as the control group.\nRESULTS:\nDentofacial morphology affects the position and the movements of the tongue during deglutition. Contact of the anterior portion of the tongue with the rugae area of the hard palate decreased in the Class III malocclusion groups. The posterior portion of the dorsal tongue was positioned more inferiorly, and the root of the tongue was positioned more inferiorly and anteriorly in patients with Class III malocclusion than in the control group. The tip of the tongue was also in a more anterior position in the Class III groups. When the deglutition stages were evaluated, we observed that the manner of bolus transfer was different in patients with skeletal Class III malocclusion than in those with skeletal Class I malocclusion.\nCONCLUSIONS:\nTongue posture is affected by dentofacial structures, and adaptive changes occur in the tip, dorsum, and root of the tongue. Deglutitive tongue movements in patients with skeletal Class III malocclusion are also different from those with skeletal Class I malocclusion.","downloadable_attachments":[{"id":43812626,"asset_id":23358464,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":18340321,"first_name":"Nail","last_name":"Bulakbaşı","domain_name":"kiprvilladom","page_name":"NailBulakbaşı","display_name":"Nail Bulakbaşı","profile_url":"https://kiprvilladom.academia.edu/NailBulakba%C5%9F%C4%B1?f_ri=9224","photo":"https://0.academia-photos.com/18340321/9833240/10958818/s65_nail.bulakba_.jpg"}],"research_interests":[{"id":8928,"name":"MRI","url":"https://www.academia.edu/Documents/in/MRI?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":1670488,"name":"Cine MRI and VPI","url":"https://www.academia.edu/Documents/in/Cine_MRI_and_VPI?f_ri=9224","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_4056953" data-work_id="4056953" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/4056953/Reductions_in_interhemispheric_motor_cortex_functional_connectivity_after_muscle_fatigue">Reductions in interhemispheric motor cortex functional connectivity after muscle fatigue</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Muscle fatigue has been known to differentially affect the activation level of the primary motor cortices (MIs) of the brain's two hemispheres. Whether this fatigue-related decoupling influence on the motor cortical signals extends beyond... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_4056953" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Muscle fatigue has been known to differentially affect the activation level of the primary motor cortices (MIs) of the brain's two hemispheres. Whether this fatigue-related decoupling influence on the motor cortical signals extends beyond the motor action to the after-fatigue-task resting state is unknown. This question can be addressed by analyzing functional connectivity (FC) of low-frequency oscillations of resting-state functional MRI (fMRI) signals of the MIs. Low-frequency oscillations (<0.08 Hz) have been detected in many fMRI studies and appear to be synchronized between functionally related areas. These patterns of FC have been shown to differ between normal and various pathological states. The purpose of this study was to examine muscle fatigue-induced resting-state interhemispheric motor cortex FC changes in healthy subjects. We hypothesized that muscle fatigue would create a temporary “disrupted state” in the brain, and would decrease resting state interhemispheric motor cortical FC. Ten healthy subjects performed repetitive unilateral handgrip contractions that induced significant muscle fatigue, with resting state fMRI data collected before and after the task. After excluding two subjects due to gross head motion, interhemispheric motor cortex FC was assessed by cross-correlating the MI fMRI signal time courses. We found that the number of significant interhemispheric correlations in the MI fMRI signals decreased significantly after the performance of the fatigue task. These results suggest that resting state interhemispheric motor cortex FC may be used as an index of recovery from fatigue.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/4056953" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1b00cce04e6015ac5895c7e68605717c" rel="nofollow" data-download="{"attachment_id":50053789,"asset_id":4056953,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/50053789/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="4884736" href="https://umich.academia.edu/ScottPeltier">Scott Peltier</a><script data-card-contents-for-user="4884736" type="text/json">{"id":4884736,"first_name":"Scott","last_name":"Peltier","domain_name":"umich","page_name":"ScottPeltier","display_name":"Scott Peltier","profile_url":"https://umich.academia.edu/ScottPeltier?f_ri=9224","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_4056953 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="4056953"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 4056953, container: ".js-paper-rank-work_4056953", }); 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Whether this fatigue-related decoupling influence on the motor cortical signals extends beyond the motor action to the after-fatigue-task resting state is unknown. This question can be addressed by analyzing functional connectivity (FC) of low-frequency oscillations of resting-state functional MRI (fMRI) signals of the MIs. Low-frequency oscillations (\u003c0.08 Hz) have been detected in many fMRI studies and appear to be synchronized between functionally related areas. These patterns of FC have been shown to differ between normal and various pathological states. The purpose of this study was to examine muscle fatigue-induced resting-state interhemispheric motor cortex FC changes in healthy subjects. We hypothesized that muscle fatigue would create a temporary “disrupted state” in the brain, and would decrease resting state interhemispheric motor cortical FC. Ten healthy subjects performed repetitive unilateral handgrip contractions that induced significant muscle fatigue, with resting state fMRI data collected before and after the task. After excluding two subjects due to gross head motion, interhemispheric motor cortex FC was assessed by cross-correlating the MI fMRI signal time courses. We found that the number of significant interhemispheric correlations in the MI fMRI signals decreased significantly after the performance of the fatigue task. These results suggest that resting state interhemispheric motor cortex FC may be used as an index of recovery from fatigue.","downloadable_attachments":[{"id":50053789,"asset_id":4056953,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":4884736,"first_name":"Scott","last_name":"Peltier","domain_name":"umich","page_name":"ScottPeltier","display_name":"Scott Peltier","profile_url":"https://umich.academia.edu/ScottPeltier?f_ri=9224","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science?f_ri=9224","nofollow":false},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":52176,"name":"Brain 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Disorder","url":"https://www.academia.edu/Documents/in/developmental_Disorder?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_29100145" data-work_id="29100145" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/29100145/Exploring_the_role_of_the_posterior_middle_temporal_gyrus_in_semantic_cognition_Integration_of_anterior_temporal_lobe_with_executive_processes">Exploring the role of the posterior middle temporal gyrus in semantic cognition: Integration of anterior temporal lobe with executive processes</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Making sense of the world around us depends upon selectively retrieving information relevant to our current goal or context. However, it is unclear whether selective semantic retrieval relies exclusively on general control mechanisms... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_29100145" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Making sense of the world around us depends upon selectively retrieving information relevant to our current goal or context. However, it is unclear whether selective semantic retrieval relies exclusively on general control mechanisms recruited in demanding non-semantic tasks, or instead on systems specialised for the control of meaning. One hypothesis is that the left posterior middle temporal gyrus (pMTG) is important in the controlled retrieval of semantic (not non-semantic) information; however this view remains controversial since a parallel literature links this site to event and relational semantics. In a functional neuroimaging study, we demonstrated that an area of pMTG implicated in semantic control by a recent meta-analysis was activated in a conjunction of (i) semantic association over size judgements and (ii) action over colour feature matching. Under these circumstances the same region showed functional coupling with the inferior frontal gyrus — another crucial site for semantic control. Structural and functional connectivity analyses demonstrated that this site is at the nexus of networks recruited in automatic semantic processing (the default mode network) and executively demanding tasks (the multiple-demand network). Moreover, in both task and task-free contexts, pMTG exhibited functional properties that were more similar to ventral parts of inferior frontal cortex, implicated in controlled semantic retrieval , than more dorsal inferior frontal sulcus, implicated in domain-general control. Finally, the pMTG region was functionally correlated at rest with other regions implicated in control-demanding semantic tasks, including inferior frontal gyrus and intraparietal sulcus. We suggest that pMTG may play a crucial role within a large-scale network that allows the integration of automatic retrieval in the default mode network with executively-demanding goal-oriented cognition, and that this could support our ability to understand actions and non-dominant semantic associations, allowing semantic retrieval to be 'shaped' to suit a task or context.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/29100145" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1de5430660cd68df737262a26cf3c8e6" rel="nofollow" data-download="{"attachment_id":49548053,"asset_id":29100145,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/49548053/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="3530967" href="https://york.academia.edu/CharlotteMurphy">Charlotte Murphy</a><script data-card-contents-for-user="3530967" type="text/json">{"id":3530967,"first_name":"Charlotte","last_name":"Murphy","domain_name":"york","page_name":"CharlotteMurphy","display_name":"Charlotte Murphy","profile_url":"https://york.academia.edu/CharlotteMurphy?f_ri=9224","photo":"https://0.academia-photos.com/3530967/1213051/1517921/s65_charlotte.murphy.jpg"}</script></span></span></li><li class="js-paper-rank-work_29100145 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="29100145"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 29100145, container: ".js-paper-rank-work_29100145", }); 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However, it is unclear whether selective semantic retrieval relies exclusively on general control mechanisms recruited in demanding non-semantic tasks, or instead on systems specialised for the control of meaning. One hypothesis is that the left posterior middle temporal gyrus (pMTG) is important in the controlled retrieval of semantic (not non-semantic) information; however this view remains controversial since a parallel literature links this site to event and relational semantics. In a functional neuroimaging study, we demonstrated that an area of pMTG implicated in semantic control by a recent meta-analysis was activated in a conjunction of (i) semantic association over size judgements and (ii) action over colour feature matching. Under these circumstances the same region showed functional coupling with the inferior frontal gyrus — another crucial site for semantic control. Structural and functional connectivity analyses demonstrated that this site is at the nexus of networks recruited in automatic semantic processing (the default mode network) and executively demanding tasks (the multiple-demand network). Moreover, in both task and task-free contexts, pMTG exhibited functional properties that were more similar to ventral parts of inferior frontal cortex, implicated in controlled semantic retrieval , than more dorsal inferior frontal sulcus, implicated in domain-general control. Finally, the pMTG region was functionally correlated at rest with other regions implicated in control-demanding semantic tasks, including inferior frontal gyrus and intraparietal sulcus. We suggest that pMTG may play a crucial role within a large-scale network that allows the integration of automatic retrieval in the default mode network with executively-demanding goal-oriented cognition, and that this could support our ability to understand actions and non-dominant semantic associations, allowing semantic retrieval to be 'shaped' to suit a task or context.","downloadable_attachments":[{"id":49548053,"asset_id":29100145,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":3530967,"first_name":"Charlotte","last_name":"Murphy","domain_name":"york","page_name":"CharlotteMurphy","display_name":"Charlotte Murphy","profile_url":"https://york.academia.edu/CharlotteMurphy?f_ri=9224","photo":"https://0.academia-photos.com/3530967/1213051/1517921/s65_charlotte.murphy.jpg"}],"research_interests":[{"id":1595,"name":"Memory (Cognitive 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href="https://www.academia.edu/21956748/Traumatic_Brain_Injury_Alters_Word_Memory_Test_Performance_by_Slowing_Response_Time_and_Increasing_Cortical_Activation_An_fMRI_Study_of_a_Symptom_Validity_Test">Traumatic Brain Injury Alters Word Memory Test Performance by Slowing Response Time and Increasing Cortical Activation: An fMRI Study of a Symptom Validity Test</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/21956748" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="24fa6036bf9d7ac7924e6245445fe0e1" rel="nofollow" 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MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="64351" href="https://www.academia.edu/Documents/in/Cognitive_Load">Cognitive Load</a>, <script data-card-contents-for-ri="64351" type="text/json">{"id":64351,"name":"Cognitive Load","url":"https://www.academia.edu/Documents/in/Cognitive_Load?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="97764" href="https://www.academia.edu/Documents/in/Neuropsychological_Assessment">Neuropsychological Assessment</a><script data-card-contents-for-ri="97764" type="text/json">{"id":97764,"name":"Neuropsychological Assessment","url":"https://www.academia.edu/Documents/in/Neuropsychological_Assessment?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=21956748]'), work: {"id":21956748,"title":"Traumatic Brain Injury Alters Word Memory Test Performance by Slowing Response Time and Increasing Cortical Activation: An fMRI Study of a Symptom Validity Test","created_at":"2016-02-14T09:54:07.556-08:00","url":"https://www.academia.edu/21956748/Traumatic_Brain_Injury_Alters_Word_Memory_Test_Performance_by_Slowing_Response_Time_and_Increasing_Cortical_Activation_An_fMRI_Study_of_a_Symptom_Validity_Test?f_ri=9224","dom_id":"work_21956748","summary":null,"downloadable_attachments":[{"id":42676028,"asset_id":21956748,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":43206758,"first_name":"Erin","last_name":"Bigler","domain_name":"independent","page_name":"ErinBigler","display_name":"Erin Bigler","profile_url":"https://independent.academia.edu/ErinBigler?f_ri=9224","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":3720,"name":"Traumatic Brain Injury","url":"https://www.academia.edu/Documents/in/Traumatic_Brain_Injury?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":64351,"name":"Cognitive Load","url":"https://www.academia.edu/Documents/in/Cognitive_Load?f_ri=9224","nofollow":false},{"id":97764,"name":"Neuropsychological Assessment","url":"https://www.academia.edu/Documents/in/Neuropsychological_Assessment?f_ri=9224","nofollow":false},{"id":601304,"name":"Verbal Memory","url":"https://www.academia.edu/Documents/in/Verbal_Memory?f_ri=9224"},{"id":1126675,"name":"Memory Testing","url":"https://www.academia.edu/Documents/in/Memory_Testing?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_7751700" data-work_id="7751700" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/7751700/Analysis_of_fMRI_Time_Series_Revisited">Analysis of fMRI Time-Series Revisited</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/7751700" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5fd28a86e7da777c9bc409d30e690a09" rel="nofollow" data-download="{"attachment_id":48351527,"asset_id":7751700,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/48351527/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="14226728" href="https://cbs-mpg.academia.edu/RobertTurner">Robert Turner</a><script data-card-contents-for-user="14226728" type="text/json">{"id":14226728,"first_name":"Robert","last_name":"Turner","domain_name":"cbs-mpg","page_name":"RobertTurner","display_name":"Robert Turner","profile_url":"https://cbs-mpg.academia.edu/RobertTurner?f_ri=9224","photo":"https://0.academia-photos.com/14226728/3902187/19124992/s65_robert.turner.jpg"}</script></span></span></li><li class="js-paper-rank-work_7751700 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="7751700"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 7751700, container: ".js-paper-rank-work_7751700", }); });</script></li><li class="js-percentile-work_7751700 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x 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});</script></span><script>$(function() { $(".js-view-count-work_7751700").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="7751700"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">18</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="4456" href="https://www.academia.edu/Documents/in/Time_Series">Time Series</a>, <script data-card-contents-for-ri="4456" type="text/json">{"id":4456,"name":"Time Series","url":"https://www.academia.edu/Documents/in/Time_Series?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="5187" href="https://www.academia.edu/Documents/in/Statistical_Analysis">Statistical Analysis</a>, <script data-card-contents-for-ri="5187" type="text/json">{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="6200" href="https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging">Magnetic Resonance Imaging</a>, <script data-card-contents-for-ri="6200" type="text/json">{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a><script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=7751700]'), work: {"id":7751700,"title":"Analysis of fMRI Time-Series Revisited","created_at":"2014-07-22T16:37:21.887-07:00","url":"https://www.academia.edu/7751700/Analysis_of_fMRI_Time_Series_Revisited?f_ri=9224","dom_id":"work_7751700","summary":null,"downloadable_attachments":[{"id":48351527,"asset_id":7751700,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":14226728,"first_name":"Robert","last_name":"Turner","domain_name":"cbs-mpg","page_name":"RobertTurner","display_name":"Robert Turner","profile_url":"https://cbs-mpg.academia.edu/RobertTurner?f_ri=9224","photo":"https://0.academia-photos.com/14226728/3902187/19124992/s65_robert.turner.jpg"}],"research_interests":[{"id":4456,"name":"Time Series","url":"https://www.academia.edu/Documents/in/Time_Series?f_ri=9224","nofollow":false},{"id":5187,"name":"Statistical Analysis","url":"https://www.academia.edu/Documents/in/Statistical_Analysis?f_ri=9224","nofollow":false},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":28850,"name":"Linear models","url":"https://www.academia.edu/Documents/in/Linear_models?f_ri=9224"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping?f_ri=9224"},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=9224"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans?f_ri=9224"},{"id":74347,"name":"Hemodynamics","url":"https://www.academia.edu/Documents/in/Hemodynamics?f_ri=9224"},{"id":103260,"name":"Neuroimage","url":"https://www.academia.edu/Documents/in/Neuroimage?f_ri=9224"},{"id":172678,"name":"Artifacts","url":"https://www.academia.edu/Documents/in/Artifacts?f_ri=9224"},{"id":306766,"name":"Arousal","url":"https://www.academia.edu/Documents/in/Arousal?f_ri=9224"},{"id":484415,"name":"Multiple regression analysis","url":"https://www.academia.edu/Documents/in/Multiple_regression_analysis?f_ri=9224"},{"id":490996,"name":"General Linear Model","url":"https://www.academia.edu/Documents/in/General_Linear_Model?f_ri=9224"},{"id":901876,"name":"Sensitivity and Specificity","url":"https://www.academia.edu/Documents/in/Sensitivity_and_Specificity?f_ri=9224"},{"id":1000427,"name":"Reference Values","url":"https://www.academia.edu/Documents/in/Reference_Values?f_ri=9224"},{"id":1118571,"name":"Autocorrelation Function","url":"https://www.academia.edu/Documents/in/Autocorrelation_Function?f_ri=9224"},{"id":1242198,"name":"Degree of Freedom","url":"https://www.academia.edu/Documents/in/Degree_of_Freedom?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_23357815" data-work_id="23357815" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/23357815/Initial_effects_of_the_tongue_crib_on_tongue_movements_during_deglutition_a_Cine_Magnetic_resonance_imaging_study">Initial effects of the tongue crib on tongue movements during deglutition: a Cine-Magnetic resonance imaging study.</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The objective of this study was to investigate the initial effects of a tongue crib on tongue movements during deglutition by using real time balanced turbo field echo (B-TFE) Cine-MR imaging. A total of 21 patients were evaluated in this... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_23357815" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The objective of this study was to investigate the initial effects of a tongue crib on tongue movements during deglutition by using real time balanced turbo field echo (B-TFE) Cine-MR imaging. A total of 21 patients were evaluated in this study. The open-bite group (OBG) consisted of 11 patients (seven girls, four boys) who had a mean age of 11.09 +/- 2.02 years and a mean overbite of -5.14 +/- 1.83 mm. These patients were evaluated initially (T1) and while wearing a tongue crib (T2). A total of 10 patients (five girls, five boys) with a mean age of 14.5 +/- 2.6 years and with a mean overbite of 1.6 +/- 0.5 mm served as controls (CG), and only initial records were obtained from these patients. T2 was compared with T1 and CG. T1 was also compared with CG. We evaluated deglutition during three stages matching oral (1), pharyngeal (2), and esophageal (3) stages. Our results indicated that the tongue's tip positioned more posteriorly when the crib was in place (T2) compared with both T1 and CG; the anterior portion of the tongue's dorsum was at a lower position in T2 compared with both T1 and CG at stage 3; the midportion of the tongue's dorsum was at a lower position in T2 than in T1 and CG at stages 1 and 2. To compensate for the posterior position of the tongue's tip (caused by the tongue crib), adaptive changes occurred in the anterior and midportions of the dorsum of the tongue.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/23357815" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="8a66dab13540f682c3800c6b4027ca2a" rel="nofollow" data-download="{"attachment_id":43812023,"asset_id":23357815,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43812023/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="18340321" href="https://kiprvilladom.academia.edu/NailBulakba%C5%9F%C4%B1">Nail Bulakbaşı</a><script data-card-contents-for-user="18340321" type="text/json">{"id":18340321,"first_name":"Nail","last_name":"Bulakbaşı","domain_name":"kiprvilladom","page_name":"NailBulakbaşı","display_name":"Nail Bulakbaşı","profile_url":"https://kiprvilladom.academia.edu/NailBulakba%C5%9F%C4%B1?f_ri=9224","photo":"https://0.academia-photos.com/18340321/9833240/10958818/s65_nail.bulakba_.jpg"}</script></span></span></li><li class="js-paper-rank-work_23357815 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="23357815"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 23357815, container: ".js-paper-rank-work_23357815", }); 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$(".js-view-count[data-work-id=23357815]").text(description); $(".js-view-count-work_23357815").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_23357815").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="23357815"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="8928" href="https://www.academia.edu/Documents/in/MRI">MRI</a>, <script data-card-contents-for-ri="8928" type="text/json">{"id":8928,"name":"MRI","url":"https://www.academia.edu/Documents/in/MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1670488" href="https://www.academia.edu/Documents/in/Cine_MRI_and_VPI">Cine MRI and VPI</a><script data-card-contents-for-ri="1670488" type="text/json">{"id":1670488,"name":"Cine MRI and VPI","url":"https://www.academia.edu/Documents/in/Cine_MRI_and_VPI?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=23357815]'), work: {"id":23357815,"title":"Initial effects of the tongue crib on tongue movements during deglutition: a Cine-Magnetic resonance imaging study.","created_at":"2016-03-17T02:15:37.960-07:00","url":"https://www.academia.edu/23357815/Initial_effects_of_the_tongue_crib_on_tongue_movements_during_deglutition_a_Cine_Magnetic_resonance_imaging_study?f_ri=9224","dom_id":"work_23357815","summary":"The objective of this study was to investigate the initial effects of a tongue crib on tongue movements during deglutition by using real time balanced turbo field echo (B-TFE) Cine-MR imaging. A total of 21 patients were evaluated in this study. The open-bite group (OBG) consisted of 11 patients (seven girls, four boys) who had a mean age of 11.09 +/- 2.02 years and a mean overbite of -5.14 +/- 1.83 mm. These patients were evaluated initially (T1) and while wearing a tongue crib (T2). A total of 10 patients (five girls, five boys) with a mean age of 14.5 +/- 2.6 years and with a mean overbite of 1.6 +/- 0.5 mm served as controls (CG), and only initial records were obtained from these patients. T2 was compared with T1 and CG. T1 was also compared with CG. We evaluated deglutition during three stages matching oral (1), pharyngeal (2), and esophageal (3) stages. Our results indicated that the tongue's tip positioned more posteriorly when the crib was in place (T2) compared with both T1 and CG; the anterior portion of the tongue's dorsum was at a lower position in T2 compared with both T1 and CG at stage 3; the midportion of the tongue's dorsum was at a lower position in T2 than in T1 and CG at stages 1 and 2. To compensate for the posterior position of the tongue's tip (caused by the tongue crib), adaptive changes occurred in the anterior and midportions of the dorsum of the tongue.","downloadable_attachments":[{"id":43812023,"asset_id":23357815,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":18340321,"first_name":"Nail","last_name":"Bulakbaşı","domain_name":"kiprvilladom","page_name":"NailBulakbaşı","display_name":"Nail Bulakbaşı","profile_url":"https://kiprvilladom.academia.edu/NailBulakba%C5%9F%C4%B1?f_ri=9224","photo":"https://0.academia-photos.com/18340321/9833240/10958818/s65_nail.bulakba_.jpg"}],"research_interests":[{"id":8928,"name":"MRI","url":"https://www.academia.edu/Documents/in/MRI?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":1670488,"name":"Cine MRI and VPI","url":"https://www.academia.edu/Documents/in/Cine_MRI_and_VPI?f_ri=9224","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_40954702" data-work_id="40954702" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/40954702/Cortical_motor_reorganization_in_akinetic_patients_with_Parkinson_s_disease">Cortical motor reorganization in akinetic patients with Parkinson’s disease</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Using functional MRI (fMRI), we have studied the changes induced by the performance of a complex sequential motor task in the cortical areas of six akinetic patients with Parkinson&amp;#39;s disease and six normal subjects. Compared with... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40954702" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Using functional MRI (fMRI), we have studied the changes induced by the performance of a complex sequential motor task in the cortical areas of six akinetic patients with Parkinson&amp;#39;s disease and six normal subjects. Compared with the normal subjects, the patients with Parkinson&amp;#39;s disease exhibited a relatively decreased fMRI signal in the rostral part of the supplementary motor area (SMA) and in the right dorsolateral prefrontal cortex, as previously shown in PET studies. Concomitantly, the same patients exhibited a significant bilateral relative increase in fMRI signal in the primary sensorimotor cortex, lateral premotor cortex, inferior parietal cortex, caudal part of the SMA and anterior cingulate cortex. These fMRI data confirm that the frontal hypoactivation observed in patients with Parkinson&amp;#39;s disease is restricted to the rostral part of the SMA and to the dorsolateral prefrontal cortex. These results also show that, apart from the lateral premotor and parietal cortices, increased fMRI signals can be found in other cortical motor areas of these patients, including the posterior SMA, the anterior cingulate cortex and the primary sensorimotor cortices, which are then likely to participate in the same putative attempt by the dopamine-denervated brain to recruit parallel motor circuits in order to overcome the functional deficit of the striatocortical motor loops.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40954702" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="c871a8ffa66d7135609885f5eee55ca5" rel="nofollow" data-download="{"attachment_id":61240602,"asset_id":40954702,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61240602/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="32208646" href="https://neuromed.academia.edu/ClaudioColonnese">Claudio Colonnese</a><script data-card-contents-for-user="32208646" type="text/json">{"id":32208646,"first_name":"Claudio","last_name":"Colonnese","domain_name":"neuromed","page_name":"ClaudioColonnese","display_name":"Claudio Colonnese","profile_url":"https://neuromed.academia.edu/ClaudioColonnese?f_ri=9224","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_40954702 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40954702"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40954702, container: ".js-paper-rank-work_40954702", }); });</script></li><li class="js-percentile-work_40954702 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 40954702; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_40954702"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_40954702 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="40954702"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 40954702; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=40954702]").text(description); $(".js-view-count-work_40954702").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_40954702").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="40954702"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="6200" href="https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging">Magnetic Resonance Imaging</a>, <script data-card-contents-for-ri="6200" type="text/json">{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="51566" href="https://www.academia.edu/Documents/in/Dopamine">Dopamine</a>, <script data-card-contents-for-ri="51566" type="text/json">{"id":51566,"name":"Dopamine","url":"https://www.academia.edu/Documents/in/Dopamine?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="61474" href="https://www.academia.edu/Documents/in/Brain">Brain</a><script data-card-contents-for-ri="61474" type="text/json">{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=40954702]'), work: {"id":40954702,"title":"Cortical motor reorganization in akinetic patients with Parkinson’s disease","created_at":"2019-11-17T00:23:24.896-08:00","url":"https://www.academia.edu/40954702/Cortical_motor_reorganization_in_akinetic_patients_with_Parkinson_s_disease?f_ri=9224","dom_id":"work_40954702","summary":"Using functional MRI (fMRI), we have studied the changes induced by the performance of a complex sequential motor task in the cortical areas of six akinetic patients with Parkinson\u0026amp;#39;s disease and six normal subjects. Compared with the normal subjects, the patients with Parkinson\u0026amp;#39;s disease exhibited a relatively decreased fMRI signal in the rostral part of the supplementary motor area (SMA) and in the right dorsolateral prefrontal cortex, as previously shown in PET studies. Concomitantly, the same patients exhibited a significant bilateral relative increase in fMRI signal in the primary sensorimotor cortex, lateral premotor cortex, inferior parietal cortex, caudal part of the SMA and anterior cingulate cortex. These fMRI data confirm that the frontal hypoactivation observed in patients with Parkinson\u0026amp;#39;s disease is restricted to the rostral part of the SMA and to the dorsolateral prefrontal cortex. These results also show that, apart from the lateral premotor and parietal cortices, increased fMRI signals can be found in other cortical motor areas of these patients, including the posterior SMA, the anterior cingulate cortex and the primary sensorimotor cortices, which are then likely to participate in the same putative attempt by the dopamine-denervated brain to recruit parallel motor circuits in order to overcome the functional deficit of the striatocortical motor loops.","downloadable_attachments":[{"id":61240602,"asset_id":40954702,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32208646,"first_name":"Claudio","last_name":"Colonnese","domain_name":"neuromed","page_name":"ClaudioColonnese","display_name":"Claudio Colonnese","profile_url":"https://neuromed.academia.edu/ClaudioColonnese?f_ri=9224","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":51566,"name":"Dopamine","url":"https://www.academia.edu/Documents/in/Dopamine?f_ri=9224","nofollow":false},{"id":61474,"name":"Brain","url":"https://www.academia.edu/Documents/in/Brain?f_ri=9224","nofollow":false},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans?f_ri=9224"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female?f_ri=9224"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male?f_ri=9224"},{"id":153836,"name":"Motor Cortex","url":"https://www.academia.edu/Documents/in/Motor_Cortex?f_ri=9224"},{"id":289271,"name":"Aged","url":"https://www.academia.edu/Documents/in/Aged?f_ri=9224"},{"id":295155,"name":"Middle Aged","url":"https://www.academia.edu/Documents/in/Middle_Aged?f_ri=9224"},{"id":312150,"name":"Premotor cortex","url":"https://www.academia.edu/Documents/in/Premotor_cortex?f_ri=9224"},{"id":375439,"name":"Single Photon Emission Computed Tomography","url":"https://www.academia.edu/Documents/in/Single_Photon_Emission_Computed_Tomography?f_ri=9224"},{"id":436755,"name":"Degeneration","url":"https://www.academia.edu/Documents/in/Degeneration?f_ri=9224"},{"id":1541077,"name":"Parkinson Disease","url":"https://www.academia.edu/Documents/in/Parkinson_Disease?f_ri=9224"},{"id":1818977,"name":"Anterior cingulate cortex","url":"https://www.academia.edu/Documents/in/Anterior_cingulate_cortex?f_ri=9224"},{"id":1819399,"name":"Case Control Studies","url":"https://www.academia.edu/Documents/in/Case_Control_Studies?f_ri=9224"},{"id":1888321,"name":"Dorsolateral Prefrontal Cortex","url":"https://www.academia.edu/Documents/in/Dorsolateral_Prefrontal_Cortex?f_ri=9224"},{"id":1938088,"name":"Cingulate cortex","url":"https://www.academia.edu/Documents/in/Cingulate_cortex?f_ri=9224"},{"id":2246318,"name":"Motor activity","url":"https://www.academia.edu/Documents/in/Motor_activity?f_ri=9224"},{"id":2922956,"name":"Psychology and Cognitive Sciences","url":"https://www.academia.edu/Documents/in/Psychology_and_Cognitive_Sciences?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_19587107" data-work_id="19587107" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/19587107/Anatomy_and_three_dimensional_reconstructions_of_the_brain_of_a_bottlenose_dolphin_Tursiops_truncatus_from_magnetic_resonance_images">Anatomy and three-dimensional reconstructions of the brain of a bottlenose dolphin (Tursiops truncatus) from magnetic resonance images</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/19587107" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="aec63339f8d774d32d3a62ab2f60ae34" rel="nofollow" data-download="{"attachment_id":40712530,"asset_id":19587107,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/40712530/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26270824" href="https://independent.academia.edu/SamRidgway">Sam Ridgway</a><script data-card-contents-for-user="26270824" type="text/json">{"id":26270824,"first_name":"Sam","last_name":"Ridgway","domain_name":"independent","page_name":"SamRidgway","display_name":"Sam Ridgway","profile_url":"https://independent.academia.edu/SamRidgway?f_ri=9224","photo":"https://0.academia-photos.com/26270824/9849184/10977589/s65_sam.ridgway.jpg_oh_dead1386dd292462f069da494f0cfbcf_oe_5618a460___gda___1448314469_79cd407a5b11001c9cb0086530f49c05"}</script></span></span></li><li class="js-paper-rank-work_19587107 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="19587107"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 19587107, container: ".js-paper-rank-work_19587107", }); });</script></li><li class="js-percentile-work_19587107 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19587107; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_19587107"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_19587107 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="19587107"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19587107; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19587107]").text(description); $(".js-view-count-work_19587107").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_19587107").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="19587107"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="161" href="https://www.academia.edu/Documents/in/Neuroscience">Neuroscience</a>, <script data-card-contents-for-ri="161" type="text/json">{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8928" href="https://www.academia.edu/Documents/in/MRI">MRI</a>, <script data-card-contents-for-ri="8928" type="text/json">{"id":8928,"name":"MRI","url":"https://www.academia.edu/Documents/in/MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="13797" href="https://www.academia.edu/Documents/in/Marine_Mammals">Marine Mammals</a><script data-card-contents-for-ri="13797" type="text/json">{"id":13797,"name":"Marine Mammals","url":"https://www.academia.edu/Documents/in/Marine_Mammals?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=19587107]'), work: {"id":19587107,"title":"Anatomy and three-dimensional reconstructions of the brain of a bottlenose dolphin (Tursiops truncatus) from magnetic resonance images","created_at":"2015-12-09T13:57:50.124-08:00","url":"https://www.academia.edu/19587107/Anatomy_and_three_dimensional_reconstructions_of_the_brain_of_a_bottlenose_dolphin_Tursiops_truncatus_from_magnetic_resonance_images?f_ri=9224","dom_id":"work_19587107","summary":null,"downloadable_attachments":[{"id":40712530,"asset_id":19587107,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26270824,"first_name":"Sam","last_name":"Ridgway","domain_name":"independent","page_name":"SamRidgway","display_name":"Sam Ridgway","profile_url":"https://independent.academia.edu/SamRidgway?f_ri=9224","photo":"https://0.academia-photos.com/26270824/9849184/10977589/s65_sam.ridgway.jpg_oh_dead1386dd292462f069da494f0cfbcf_oe_5618a460___gda___1448314469_79cd407a5b11001c9cb0086530f49c05"}],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience?f_ri=9224","nofollow":false},{"id":8928,"name":"MRI","url":"https://www.academia.edu/Documents/in/MRI?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":13797,"name":"Marine Mammals","url":"https://www.academia.edu/Documents/in/Marine_Mammals?f_ri=9224","nofollow":false},{"id":54065,"name":"Cetaceans","url":"https://www.academia.edu/Documents/in/Cetaceans?f_ri=9224"},{"id":54589,"name":"Anatomy","url":"https://www.academia.edu/Documents/in/Anatomy?f_ri=9224"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_43389551" data-work_id="43389551" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/43389551/Evaluation_of_Brain_Tumor_MRI_Imaging_Test_Detection_and_Classification">Evaluation of Brain Tumor MRI Imaging Test Detection and Classification</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Brain tumor is the deadly cancer. It can occur at any age. World is worrying about brain tumor, almost survival chances of affected human being is very less. However it is possible to recover from the brain cancer, if it is detected... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_43389551" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Brain tumor is the deadly cancer. It can occur at any age. World is worrying about brain tumor, almost survival<br />chances of affected human being is very less. However it is possible to recover from the brain cancer, if it is detected early<br />stage. For the purpose of recognition or detects of tumor, deep learning is used in the field of medical research. Deep learning<br />has become the important method for complex tasks such as image classification and object detection. Here, we used MRI<br />kaggle dataset downloaded by internet. CNN is the most popular neural network model used for image classifications. Keras<br />was designed to enable fast experimentation with deep neural network. Here we used Tensor flow and python programming<br />environment for the development of our proposed system. This system is more applicable in medical sector. Within this<br />proposed method we used fully automatic segmentation and feature extraction of brain tumor detection and classification using<br />CNN techniques.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/43389551" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="f9a7fe8ee0f4b1e1a1afcf79acacac29" rel="nofollow" data-download="{"attachment_id":63685343,"asset_id":43389551,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/63685343/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="6079060" href="https://independent.academia.edu/IJRASETPublication">IJRASET Publication</a><script data-card-contents-for-user="6079060" type="text/json">{"id":6079060,"first_name":"IJRASET","last_name":"Publication","domain_name":"independent","page_name":"IJRASETPublication","display_name":"IJRASET Publication","profile_url":"https://independent.academia.edu/IJRASETPublication?f_ri=9224","photo":"https://0.academia-photos.com/6079060/2549300/33111525/s65_ijraset.publication.jpg"}</script></span></span></li><li class="js-paper-rank-work_43389551 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="43389551"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 43389551, container: ".js-paper-rank-work_43389551", }); 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$(".js-view-count[data-work-id=43389551]").text(description); $(".js-view-count-work_43389551").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_43389551").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="43389551"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="1185" href="https://www.academia.edu/Documents/in/Image_Processing">Image Processing</a>, <script data-card-contents-for-ri="1185" type="text/json">{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="9224" href="https://www.academia.edu/Documents/in/Functional_MRI">Functional MRI</a>, <script data-card-contents-for-ri="9224" type="text/json">{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="51883" href="https://www.academia.edu/Documents/in/Brain_Tumor">Brain Tumor</a><script data-card-contents-for-ri="51883" type="text/json">{"id":51883,"name":"Brain Tumor","url":"https://www.academia.edu/Documents/in/Brain_Tumor?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=43389551]'), work: {"id":43389551,"title":"Evaluation of Brain Tumor MRI Imaging Test Detection and Classification","created_at":"2020-06-19T23:31:43.279-07:00","url":"https://www.academia.edu/43389551/Evaluation_of_Brain_Tumor_MRI_Imaging_Test_Detection_and_Classification?f_ri=9224","dom_id":"work_43389551","summary":" Brain tumor is the deadly cancer. It can occur at any age. World is worrying about brain tumor, almost survival\nchances of affected human being is very less. However it is possible to recover from the brain cancer, if it is detected early\nstage. For the purpose of recognition or detects of tumor, deep learning is used in the field of medical research. Deep learning\nhas become the important method for complex tasks such as image classification and object detection. Here, we used MRI\nkaggle dataset downloaded by internet. CNN is the most popular neural network model used for image classifications. Keras\nwas designed to enable fast experimentation with deep neural network. Here we used Tensor flow and python programming\nenvironment for the development of our proposed system. This system is more applicable in medical sector. Within this\nproposed method we used fully automatic segmentation and feature extraction of brain tumor detection and classification using\nCNN techniques.","downloadable_attachments":[{"id":63685343,"asset_id":43389551,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":6079060,"first_name":"IJRASET","last_name":"Publication","domain_name":"independent","page_name":"IJRASETPublication","display_name":"IJRASET Publication","profile_url":"https://independent.academia.edu/IJRASETPublication?f_ri=9224","photo":"https://0.academia-photos.com/6079060/2549300/33111525/s65_ijraset.publication.jpg"}],"research_interests":[{"id":1185,"name":"Image Processing","url":"https://www.academia.edu/Documents/in/Image_Processing?f_ri=9224","nofollow":false},{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":51883,"name":"Brain 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href="https://www.academia.edu/Documents/in/Down_Syndrome">Down Syndrome</a>, <script data-card-contents-for-ri="37413" type="text/json">{"id":37413,"name":"Down Syndrome","url":"https://www.academia.edu/Documents/in/Down_Syndrome?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="49228" href="https://www.academia.edu/Documents/in/Mental_Retardation">Mental Retardation</a>, <script data-card-contents-for-ri="49228" type="text/json">{"id":49228,"name":"Mental Retardation","url":"https://www.academia.edu/Documents/in/Mental_Retardation?f_ri=9224","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="119259" href="https://www.academia.edu/Documents/in/Magnetic_Resonance">Magnetic Resonance</a><script data-card-contents-for-ri="119259" type="text/json">{"id":119259,"name":"Magnetic Resonance","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance?f_ri=9224","nofollow":false}</script></span></li><script>(function(){ 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Syndrome","url":"https://www.academia.edu/Documents/in/Down_Syndrome?f_ri=9224","nofollow":false},{"id":49228,"name":"Mental Retardation","url":"https://www.academia.edu/Documents/in/Mental_Retardation?f_ri=9224","nofollow":false},{"id":119259,"name":"Magnetic Resonance","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance?f_ri=9224","nofollow":false},{"id":213801,"name":"Structural Change","url":"https://www.academia.edu/Documents/in/Structural_Change?f_ri=9224"},{"id":321836,"name":"Spectrum","url":"https://www.academia.edu/Documents/in/Spectrum?f_ri=9224"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1?f_ri=9224"},{"id":604200,"name":"Spatial resolution","url":"https://www.academia.edu/Documents/in/Spatial_resolution?f_ri=9224"},{"id":1217494,"name":"Early 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Once detected, it will then classify the type of tumor as either benign or malignant. In any medical field, the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_39785515" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this paper we present an approach to detect whether an MRI scan of a brain contains a tumor or not using machine learning. Once detected, it will then classify the type of tumor as either benign or malignant. In any medical field, the most important resource used by doctors is Medical Images which is a tool with high accuracy. In this work, the system correctly classifies MRI images into images with tumor and images without tumor. This has to be done with no human intervention. 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This may be through effects of unknown environmental factors that seasonally fluctuate on the brain development. The effects may affect... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_12855582" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Seasonality of births in schizophrenia and other mental disorders has been consistently observed. This may be through effects of unknown environmental factors that seasonally fluctuate on the brain development. The effects may affect cognitive function of the brain and behavioral characteristics that might be correlated with the development of personality not only in patients with mental disorders but also in</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/12855582" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e18214816920c24f599be0ee6eac6f94" rel="nofollow" data-download="{"attachment_id":45889461,"asset_id":12855582,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/45889461/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31974749" href="https://u-tokyo.academia.edu/TsuyoshiAraki">Tsuyoshi Araki</a><script data-card-contents-for-user="31974749" type="text/json">{"id":31974749,"first_name":"Tsuyoshi","last_name":"Araki","domain_name":"u-tokyo","page_name":"TsuyoshiAraki","display_name":"Tsuyoshi Araki","profile_url":"https://u-tokyo.academia.edu/TsuyoshiAraki?f_ri=9224","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_12855582 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="12855582"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 12855582, container: ".js-paper-rank-work_12855582", }); 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In this paper survey of various data mining methods are used for classification of MRI images. A new hybrid technique based on the support vector machine... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_40827809" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">MRI is the most important technique, in detecting the tumors in various body parts. In this paper survey of various data mining methods are used for classification of MRI images. A new hybrid technique based on the support vector machine (SVM) and fuzzy c-means for brain tumor classification is studied in this paper. The algorithm is a combination of support vector machine (SVM) and fuzzy c-means, a hybrid technique for prediction of brain tumor. In this algorithm, the image is enhanced using enhancement techniques such as contrast improvement, and mid-range stretch. Fuzzy c-means (FCM) clustering is used for the segmentation of the image to detect the suspicious region in brain MRI image.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/40827809" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="1ce2be3f3a2671682e896d92615265c6" rel="nofollow" data-download="{"attachment_id":61111560,"asset_id":40827809,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/61111560/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13733577" href="https://iiitb.academia.edu/IJIRAEInternationalJournalofInnovativeResearchinAdvancedEngineering">IJIRAE - International Journal of Innovative Research in Advanced Engineering</a><script data-card-contents-for-user="13733577" type="text/json">{"id":13733577,"first_name":"IJIRAE","last_name":"International Journal of Innovative Research in Advanced Engineering","domain_name":"iiitb","page_name":"IJIRAEInternationalJournalofInnovativeResearchinAdvancedEngineering","display_name":"IJIRAE - International Journal of Innovative Research in Advanced Engineering","profile_url":"https://iiitb.academia.edu/IJIRAEInternationalJournalofInnovativeResearchinAdvancedEngineering?f_ri=9224","photo":"https://0.academia-photos.com/13733577/3819053/35118444/s65_ijirae.international_journal_of_innovative_research_in_advanced_engineering.jpg"}</script></span></span></li><li class="js-paper-rank-work_40827809 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="40827809"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 40827809, container: ".js-paper-rank-work_40827809", }); 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class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_22213039" data-work_id="22213039" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/22213039/Analysis_of_Medical_Image_Processing_and_its_Application_in_Healthcare">Analysis of Medical Image Processing and its Application in Healthcare</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">—Medical image processing is the most challenging and emerging field now a days.With fundamentally improving technical knowledge, enhanced technological support and well-constructed medical equipment, medical diagnosis is increasingly... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_22213039" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">—Medical image processing is the most challenging and emerging field now a days.With fundamentally improving technical knowledge, enhanced technological support and well-constructed medical equipment, medical diagnosis is increasingly becoming easy for doctors and medical staffs. However accurate diagnosis is still not possible. The approximate values and prediction may effect to a certain range but do not provide a cure.This is due to using of multiple and multiple testing systems when choosing between best and reliable becomes questionable.When it comes to Scan,X-rays and MRIs, the image results between each test samples shows significant variations and it is still arguable to find out the best pick.As MRIs are better choice due to it's considerable efficiency rate, it has been often preferred in medical image diagnosis.Processing of MRI image is one of the integral part of this field. The proposed strategy is to detect,analyze and extract the tumor from patient's MRI scan images of the brain. This method incorporates with some noise removal functions, segmentation,filtering processes and morphological operations which are the basic concepts of image processing.MATLAB provides a complete full packed environment to support image analysis domain with some built-in function and wide range of image processing tools.Thus,detection and extraction of tumor cells from MRI scan images of the brain is done by using MATLAB software.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/22213039" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="93a2856b6d62b4e8e85a527d41444338" rel="nofollow" data-download="{"attachment_id":42866926,"asset_id":22213039,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/42866926/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="16152923" href="https://ijaers.academia.edu/IJAERSJournal">IJAERS Journal</a><script data-card-contents-for-user="16152923" type="text/json">{"id":16152923,"first_name":"IJAERS","last_name":"Journal","domain_name":"ijaers","page_name":"IJAERSJournal","display_name":"IJAERS Journal","profile_url":"https://ijaers.academia.edu/IJAERSJournal?f_ri=9224","photo":"https://0.academia-photos.com/16152923/4389783/10838332/s65_ijaers.journal.jpg"}</script></span></span></li><li class="js-paper-rank-work_22213039 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="22213039"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 22213039, container: ".js-paper-rank-work_22213039", }); 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However accurate diagnosis is still not possible. The approximate values and prediction may effect to a certain range but do not provide a cure.This is due to using of multiple and multiple testing systems when choosing between best and reliable becomes questionable.When it comes to Scan,X-rays and MRIs, the image results between each test samples shows significant variations and it is still arguable to find out the best pick.As MRIs are better choice due to it's considerable efficiency rate, it has been often preferred in medical image diagnosis.Processing of MRI image is one of the integral part of this field. The proposed strategy is to detect,analyze and extract the tumor from patient's MRI scan images of the brain. This method incorporates with some noise removal functions, segmentation,filtering processes and morphological operations which are the basic concepts of image processing.MATLAB provides a complete full packed environment to support image analysis domain with some built-in function and wide range of image processing tools.Thus,detection and extraction of tumor cells from MRI scan images of the brain is done by using MATLAB software.","downloadable_attachments":[{"id":42866926,"asset_id":22213039,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":16152923,"first_name":"IJAERS","last_name":"Journal","domain_name":"ijaers","page_name":"IJAERSJournal","display_name":"IJAERS Journal","profile_url":"https://ijaers.academia.edu/IJAERSJournal?f_ri=9224","photo":"https://0.academia-photos.com/16152923/4389783/10838332/s65_ijaers.journal.jpg"}],"research_interests":[{"id":9224,"name":"Functional MRI","url":"https://www.academia.edu/Documents/in/Functional_MRI?f_ri=9224","nofollow":false},{"id":25395,"name":"Matlab","url":"https://www.academia.edu/Documents/in/Matlab?f_ri=9224","nofollow":false},{"id":26870,"name":"Image segmentation","url":"https://www.academia.edu/Documents/in/Image_segmentation?f_ri=9224","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_33083236" data-work_id="33083236" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/33083236/Animating_Dreams_and_Future_Dream_Recording">Animating Dreams and Future Dream Recording</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Poster presented at the International Association for the Study of Dreams, 34th Annual International Conference, June 16-20, 2017. The poster outlines a study on avatar animation of dreamer motor behavior from electromyography collected... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_33083236" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Poster presented at the International Association for the Study of Dreams, 34th Annual International Conference, June 16-20, 2017. The poster outlines a study on avatar animation of dreamer motor behavior from electromyography collected at the University of Texas, Austin, Cognitive Neuroscience Lab in 2016.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/33083236" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="fad56011331924601ffbffb87fbfe591" rel="nofollow" data-download="{"attachment_id":53572686,"asset_id":33083236,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/53572686/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="13171345" href="https://asdreams.academia.edu/DanielOldis">Daniel Oldis</a><script data-card-contents-for-user="13171345" type="text/json">{"id":13171345,"first_name":"Daniel","last_name":"Oldis","domain_name":"asdreams","page_name":"DanielOldis","display_name":"Daniel Oldis","profile_url":"https://asdreams.academia.edu/DanielOldis?f_ri=9224","photo":"https://0.academia-photos.com/13171345/3707487/29815188/s65_daniel.oldis.jpg"}</script></span></span></li><li class="js-paper-rank-work_33083236 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="33083236"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 33083236, container: ".js-paper-rank-work_33083236", }); 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href="https://www.academia.edu/13944106/Alterations_in_regional_homogeneity_of_resting_state_brain_activity_in_mesial_temporal_lobe_epilepsy">Alterations in regional homogeneity of resting-state brain activity in mesial temporal lobe epilepsy</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">PURPOSE: The purpose of the present study was to identify abnormal areas of regional synchronization in patients with mesial temporal lobe epilepsy and hippocampus sclerosis (mTLE-HS) compared to healthy controls, by applying a relatively... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_13944106" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">PURPOSE: The purpose of the present study was to identify abnormal areas of regional synchronization in patients with mesial temporal lobe epilepsy and hippocampus sclerosis (mTLE-HS) compared to healthy controls, by applying a relatively novel method, the Regional Homogeneity (ReHo) method to resting state fMRI (RS-fMRI) data. METHODS: Eyes closed RS-fMRI data were acquired from 10 mTLE-HS patients (four right-side, six left-side) and 15 age- and gender-matched healthy subjects, and were analyzed by using ReHo. For group analysis, four right-side MTLE-HS patients&#39; functional images were flipped, in order to make a homogeneous left MTLE-HS group (10 cases) and increase the sample size. KEY FINDINGS: Compared to the healthy control group, patients showed significantly increased ReHo in ipsilateral parahippocampal gyrus, midbrain, insula, corpus callosum, bilateral sensorimotor cortex, and frontoparietal subcortical structures, whereas decreased ReHo was observed mainly in default...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/13944106" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="50d25e7f38071d09be9eaa10867735e7" rel="nofollow" data-download="{"attachment_id":39140601,"asset_id":13944106,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/39140601/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33000771" href="https://wisc.academia.edu/VivekPrabhakaran">Vivek Prabhakaran</a><script data-card-contents-for-user="33000771" type="text/json">{"id":33000771,"first_name":"Vivek","last_name":"Prabhakaran","domain_name":"wisc","page_name":"VivekPrabhakaran","display_name":"Vivek Prabhakaran","profile_url":"https://wisc.academia.edu/VivekPrabhakaran?f_ri=9224","photo":"https://0.academia-photos.com/33000771/94854499/83819753/s65_vivek.prabhakaran.jpg"}</script></span></span></li><li class="js-paper-rank-work_13944106 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="13944106"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 13944106, container: ".js-paper-rank-work_13944106", }); 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KEY FINDINGS: Compared to the healthy control group, patients showed significantly increased ReHo in ipsilateral parahippocampal gyrus, midbrain, insula, corpus callosum, bilateral sensorimotor cortex, and frontoparietal subcortical structures, whereas decreased ReHo was observed mainly in default...","downloadable_attachments":[{"id":39140601,"asset_id":13944106,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33000771,"first_name":"Vivek","last_name":"Prabhakaran","domain_name":"wisc","page_name":"VivekPrabhakaran","display_name":"Vivek Prabhakaran","profile_url":"https://wisc.academia.edu/VivekPrabhakaran?f_ri=9224","photo":"https://0.academia-photos.com/33000771/94854499/83819753/s65_vivek.prabhakaran.jpg"}],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=9224","nofollow":false},{"id":237,"name":"Cognitive 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For image processing, Segmentation is widely used. In that way MRI-Magnetic Resonance Imaging has become... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_24430511" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Medical image processing is the most emergent field these days and processing of images scanned through MRI are the part of it. For image processing, Segmentation is widely used. In that way MRI-Magnetic Resonance Imaging has become practical means for the analysis of brain tumor images. In the paper we have presented some noise removal functions, three types of segmentation and morphological operations. 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u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/81689961/Impact_of_early_neuro_imaging_in_the_process_of_dementia_diagnosis_in_Wolverhampton_memory_assessment_service_an_evaluation">Impact of early neuro-imaging in the process of dementia diagnosis in Wolverhampton memory assessment service: an evaluation</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background: Nationally, there has been a rapid rise in the number of referrals as well as an increase in demand to provide a timely diagnosis of dementia. Aims: The aim of this service evaluation was to study the impact of early access to... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_81689961" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background: Nationally, there has been a rapid rise in the number of referrals as well as an increase in demand to provide a timely diagnosis of dementia. Aims: The aim of this service evaluation was to study the impact of early access to neuroimaging for patients referred to the Memory Assessment Service (MAS) in order to avoid delays to diagnosis and management. Methods: An early neuroimaging care pathway was introduced where patients were referred for neuroimaging at the point of referral to MAS following senior clinical overview; this was compared to the current care pathway (where scan requests are considered following an initial nursing assessment) and with those patients who had a previous scan. Results: Patients who had scans requested at triage or who had scans prior to referral had faster diagnosis rates compared to those who did not. Conclusions: Implementing a new pathway whereby clinicians can either have access to prior neuroimaging or refer appropriate patients for scans at referral, has shown to expedite the timeline from referral to dementia diagnosis and therefore has shown to reduce waiting time to diagnosis and management.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/81689961" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2f639313d7175c1c685e1671308dfcd0" rel="nofollow" data-download="{"attachment_id":88408898,"asset_id":81689961,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/88408898/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="50230769" href="https://independent.academia.edu/jgcr">Journal of Geriatric Care and Research (JGCR)</a><script data-card-contents-for-user="50230769" type="text/json">{"id":50230769,"first_name":"Journal of Geriatric Care and Research","last_name":"(JGCR)","domain_name":"independent","page_name":"jgcr","display_name":"Journal of Geriatric Care and Research (JGCR)","profile_url":"https://independent.academia.edu/jgcr?f_ri=9224","photo":"https://0.academia-photos.com/50230769/13200492/14491049/s65_journal_of_geriatric_care_and_research._jgcr_.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-81689961">+1</span><div class="hidden js-additional-users-81689961"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/KULJITMANDAIR">KULJIT MANDAIR</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-81689961'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-81689961').html(); 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W rozdziale tym... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_39879850" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Prezentowany tekst był rozdziałem w książce "Pozyskiwanie obrazów medycznych oraz ich przetwarzanie, analiza, automatyczne rozpoznawanie i diagnostyczna interpretacja", ale może być studiowany jako samodzielna publikacja. W rozdziale tym najpierw różne techniki obrazowania medycznego omówiono zbiorczo, a następnie przedstawiono kolejno: technikę rentgenowską, tomografię komputerową, technikę magnetycznego rezonansu jądrowego, technik izotopowe, SPECT i PET.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/39879850" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="ab909ad65183a8eb2a34af56fcf3d5ae" rel="nofollow" data-download="{"attachment_id":60064204,"asset_id":39879850,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/60064204/download_file?st=MTczMjQwMjAzNiw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="37662438" href="https://pan-pl.academia.edu/RyszardTadeusiewicz">Ryszard Tadeusiewicz</a><script data-card-contents-for-user="37662438" type="text/json">{"id":37662438,"first_name":"Ryszard","last_name":"Tadeusiewicz","domain_name":"pan-pl","page_name":"RyszardTadeusiewicz","display_name":"Ryszard Tadeusiewicz","profile_url":"https://pan-pl.academia.edu/RyszardTadeusiewicz?f_ri=9224","photo":"https://0.academia-photos.com/37662438/12050914/13425251/s65_ryszard.tadeusiewicz.jpg"}</script></span></span></li><li class="js-paper-rank-work_39879850 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="39879850"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 39879850, container: ".js-paper-rank-work_39879850", }); 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W rozdziale tym najpierw różne techniki obrazowania medycznego omówiono zbiorczo, a następnie przedstawiono kolejno: technikę rentgenowską, tomografię komputerową, technikę magnetycznego rezonansu jądrowego, technik izotopowe, SPECT i PET. 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