{"id":24243,"date":"2025-05-30T11:37:07","date_gmt":"2025-05-30T09:37:07","guid":{"rendered":"https:\/\/sano.science\/?p=24243"},"modified":"2025-06-24T11:41:00","modified_gmt":"2025-06-24T09:41:00","slug":"sano-at-eso-2025","status":"publish","type":"post","link":"https:\/\/sano.science\/sano-at-eso-2025\/","title":{"rendered":"Sano at ESO 2025"},"content":{"rendered":"\n<p class=\" eplus-wrapper\">From May 21\u201323, 2025, the\u00a0<strong>11th European Stroke Organisation Conference (ESOC)<\/strong>\u00a0took place in Helsinki \u2014 one of the most important scientific events dedicated to stroke research and treatment.<a href=\"https:\/\/sano.science\/people\/cemal-koba\/\">\u00a0<strong>Dr. Cemal Koba<\/strong><\/a>, Postdoctoral Researcher in Computational Neuroscience at Sano \u2013 Centre for Computational Medicine, presented a poster entitled:<br><strong>\u201cRobust Predictions of Stroke Severity with Low-Dimensional Functional Connectivity.\u201d<\/strong><\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-rethinking-fmri-use-in-stroke-research\">Rethinking fMRI Use in Stroke Research<br><\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Functional MRI (fMRI) holds great potential for exploring brain dynamics after stroke, but its clinical applications remain limited. The challenges stem from the high dimensionality of fMRI data and the effects of disrupted cerebral blood flow.\u00a0<strong>Dr. Koba and his co-authors<\/strong>\u00a0proposed an innovative approach that addresses both of these challenges.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-methods-from-hemodynamic-lag-to-functional-damage-mapping\">Methods: From Hemodynamic Lag to Functional Damage Mapping<br><\/h2>\n\n\n\n<p class=\" eplus-wrapper\">The study involved&nbsp;104 ischemic stroke patients&nbsp;and&nbsp;26 healthy controls, all of whom underwent fMRI scanning within two weeks of stroke onset. After preprocessing, the data were adjusted for&nbsp;hemodynamic delays&nbsp;by shifting voxel-wise time series to align more closely with the gray matter signal.<br>Using&nbsp;nonlinear diffusion embedding, the researchers generated low-dimensional functional connectivity gradients. The first three components from the control group were averaged to define a reference topography. For each patient,&nbsp;damage&nbsp;was calculated as the Euclidean distance between their cortical connectivity profile and this reference. These damage maps were then used to predict stroke severity (NIHSS score). Gray matter disconnection profiles served as an additional reference.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-results-accurate-prediction-of-clinical-symptoms\">Results: Accurate Prediction of Clinical Symptoms<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Correcting for hemodynamic lag significantly enhanced functional connectivity, particularly along the\u00a0<strong>visual\u2013somatomotor axis<\/strong>\u00a0(t(103)= 4.96, p&lt;0.05). The derived maps of functional damage were strongly associated with specific clinical deficits, including\u00a0<strong>language impairments<\/strong>\u00a0(r=0.47),\u00a0<strong>spatial neglect<\/strong>\u00a0(r=0.41), and\u00a0<strong>left-sided motor deficits<\/strong>\u00a0(leg: r=0.49, arm: r=0.45). All associations were statistically significant after multiple comparison correction (pFDR&lt;0.05).<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-conclusion-functional-damage-mapping-as-a-clinical-tool\">Conclusion: Functional Damage Mapping as a Clinical Tool<br><\/h2>\n\n\n\n<p class=\" eplus-wrapper\">The poster presented by Dr. Koba demonstrates that\u00a0<strong>combining hemodynamic lag correction with dimensionality reduction techniques<\/strong>\u00a0can improve the clinical relevance of fMRI in stroke. The resulting functional damage maps offer interpretable and anatomically accurate representations of stroke-induced brain changes \u2014 helping to bridge the gap between neuroimaging and clinical assessment.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","protected":false},"excerpt":"Cemal Koba Presents a Novel Approach to Stroke Severity Assessment","author":8,"featured_media":24248,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-24243","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Sano at ESO 2025 - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/sano-at-eso-2025\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sano at ESO 2025\" \/>\n<meta property=\"og:description\" content=\"Cemal Koba Presents a Novel Approach to Stroke Severity Assessment\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/sano-at-eso-2025\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-30T09:37:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-24T09:41:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/Cemal-Koba-ESO-2025-01.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1211\" \/>\n\t<meta property=\"og:image:height\" content=\"1346\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sano\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sano\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/\"},\"author\":{\"name\":\"Sano\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/person\\\/561b69b48b6a8f7904aed06df5d03c98\"},\"headline\":\"Sano at ESO 2025\",\"datePublished\":\"2025-05-30T09:37:07+00:00\",\"dateModified\":\"2025-06-24T09:41:00+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/\"},\"wordCount\":358,\"publisher\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/Cemal-Koba-ESO-2025-01.webp\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/\",\"name\":\"Sano at ESO 2025 - Centre for Computational Personalized Medicine\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/Cemal-Koba-ESO-2025-01.webp\",\"datePublished\":\"2025-05-30T09:37:07+00:00\",\"dateModified\":\"2025-06-24T09:41:00+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/#primaryimage\",\"url\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/Cemal-Koba-ESO-2025-01.webp\",\"contentUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2025\\\/05\\\/Cemal-Koba-ESO-2025-01.webp\",\"width\":1211,\"height\":1346},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sano.science\\\/sano-at-eso-2025\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sano.science\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Sano at ESO 2025\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sano.science\\\/#website\",\"url\":\"https:\\\/\\\/sano.science\\\/\",\"name\":\"Centre for Computational Personalized Medicine\",\"description\":\"Sano \u2013 Centre for Computational Medicine\",\"publisher\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sano.science\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\",\"name\":\"Sano \u2013 Centre for Computational Medicine\",\"alternateName\":\"Sano\",\"url\":\"https:\\\/\\\/sano.science\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/05\\\/logo_sano_podstawowe.png\",\"contentUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/05\\\/logo_sano_podstawowe.png\",\"width\":700,\"height\":265,\"caption\":\"Sano \u2013 Centre for Computational Medicine\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/sano.science\\\/\",\"https:\\\/\\\/x.com\\\/sanoscience\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/sanoscience\\\/\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCDZ_8TcjMWUG2ZcgKKgfpwQ\",\"https:\\\/\\\/bsky.app\\\/profile\\\/sanoscience.bsky.social\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/person\\\/561b69b48b6a8f7904aed06df5d03c98\",\"name\":\"Sano\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/3349c3947cb21b81e9745a6442fe4ec43961bb077198eb416cbdc66ec45ea97c?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/3349c3947cb21b81e9745a6442fe4ec43961bb077198eb416cbdc66ec45ea97c?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/3349c3947cb21b81e9745a6442fe4ec43961bb077198eb416cbdc66ec45ea97c?s=96&d=mm&r=g\",\"caption\":\"Sano\"},\"url\":\"https:\\\/\\\/sano.science\\\/author\\\/s15to\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Sano at ESO 2025 - Centre for Computational Personalized Medicine","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sano.science\/sano-at-eso-2025\/","og_locale":"en_US","og_type":"article","og_title":"Sano at ESO 2025","og_description":"Cemal Koba Presents a Novel Approach to Stroke Severity Assessment","og_url":"https:\/\/sano.science\/sano-at-eso-2025\/","og_site_name":"Centre for Computational Personalized Medicine","article_publisher":"https:\/\/www.facebook.com\/sano.science\/","article_published_time":"2025-05-30T09:37:07+00:00","article_modified_time":"2025-06-24T09:41:00+00:00","og_image":[{"width":1211,"height":1346,"url":"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/Cemal-Koba-ESO-2025-01.webp","type":"image\/webp"}],"author":"Sano","twitter_card":"summary_large_image","twitter_creator":"@sanoscience","twitter_site":"@sanoscience","twitter_misc":{"Written by":"Sano","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/sano.science\/sano-at-eso-2025\/#article","isPartOf":{"@id":"https:\/\/sano.science\/sano-at-eso-2025\/"},"author":{"name":"Sano","@id":"https:\/\/sano.science\/#\/schema\/person\/561b69b48b6a8f7904aed06df5d03c98"},"headline":"Sano at ESO 2025","datePublished":"2025-05-30T09:37:07+00:00","dateModified":"2025-06-24T09:41:00+00:00","mainEntityOfPage":{"@id":"https:\/\/sano.science\/sano-at-eso-2025\/"},"wordCount":358,"publisher":{"@id":"https:\/\/sano.science\/#organization"},"image":{"@id":"https:\/\/sano.science\/sano-at-eso-2025\/#primaryimage"},"thumbnailUrl":"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/Cemal-Koba-ESO-2025-01.webp","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/sano.science\/sano-at-eso-2025\/","url":"https:\/\/sano.science\/sano-at-eso-2025\/","name":"Sano at ESO 2025 - Centre for Computational Personalized Medicine","isPartOf":{"@id":"https:\/\/sano.science\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sano.science\/sano-at-eso-2025\/#primaryimage"},"image":{"@id":"https:\/\/sano.science\/sano-at-eso-2025\/#primaryimage"},"thumbnailUrl":"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/Cemal-Koba-ESO-2025-01.webp","datePublished":"2025-05-30T09:37:07+00:00","dateModified":"2025-06-24T09:41:00+00:00","breadcrumb":{"@id":"https:\/\/sano.science\/sano-at-eso-2025\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sano.science\/sano-at-eso-2025\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/sano-at-eso-2025\/#primaryimage","url":"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/Cemal-Koba-ESO-2025-01.webp","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/Cemal-Koba-ESO-2025-01.webp","width":1211,"height":1346},{"@type":"BreadcrumbList","@id":"https:\/\/sano.science\/sano-at-eso-2025\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sano.science\/"},{"@type":"ListItem","position":2,"name":"Sano at ESO 2025"}]},{"@type":"WebSite","@id":"https:\/\/sano.science\/#website","url":"https:\/\/sano.science\/","name":"Centre for Computational Personalized Medicine","description":"Sano \u2013 Centre for Computational Medicine","publisher":{"@id":"https:\/\/sano.science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sano.science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/sano.science\/#organization","name":"Sano \u2013 Centre for Computational Medicine","alternateName":"Sano","url":"https:\/\/sano.science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","width":700,"height":265,"caption":"Sano \u2013 Centre for Computational Medicine"},"image":{"@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/sano.science\/","https:\/\/x.com\/sanoscience","https:\/\/www.linkedin.com\/company\/sanoscience\/","https:\/\/www.youtube.com\/channel\/UCDZ_8TcjMWUG2ZcgKKgfpwQ","https:\/\/bsky.app\/profile\/sanoscience.bsky.social"]},{"@type":"Person","@id":"https:\/\/sano.science\/#\/schema\/person\/561b69b48b6a8f7904aed06df5d03c98","name":"Sano","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/3349c3947cb21b81e9745a6442fe4ec43961bb077198eb416cbdc66ec45ea97c?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/3349c3947cb21b81e9745a6442fe4ec43961bb077198eb416cbdc66ec45ea97c?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/3349c3947cb21b81e9745a6442fe4ec43961bb077198eb416cbdc66ec45ea97c?s=96&d=mm&r=g","caption":"Sano"},"url":"https:\/\/sano.science\/author\/s15to\/"}]}},"acf":[],"gutenberg_blocks":[{"blockName":"custom-styles","attrs":{"styles":""}},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-LD3caS","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">From May 21\u201323, 2025, the\u00a0<strong>11th European Stroke Organisation Conference (ESOC)<\/strong>\u00a0took place in Helsinki \u2014 one of the most important scientific events dedicated to stroke research and treatment.<a href=\"https:\/\/sano.science\/people\/cemal-koba\/\">\u00a0<strong>Dr. Cemal Koba<\/strong><\/a>, Postdoctoral Researcher in Computational Neuroscience at Sano \u2013 Centre for Computational Medicine, presented a poster entitled:<br><strong>\u201cRobust Predictions of Stroke Severity with Low-Dimensional Functional Connectivity.\u201d<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">From May 21\u201323, 2025, the\u00a0<strong>11th European Stroke Organisation Conference (ESOC)<\/strong>\u00a0took place in Helsinki \u2014 one of the most important scientific events dedicated to stroke research and treatment.<a href=\"https:\/\/sano.science\/people\/cemal-koba\/\">\u00a0<strong>Dr. Cemal Koba<\/strong><\/a>, Postdoctoral Researcher in Computational Neuroscience at Sano \u2013 Centre for Computational Medicine, presented a poster entitled:<br><strong>\u201cRobust Predictions of Stroke Severity with Low-Dimensional Functional Connectivity.\u201d<\/strong><\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-ZJTA04","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-j3jtrN","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-rethinking-fmri-use-in-stroke-research\">Rethinking fMRI Use in Stroke Research<br><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-rethinking-fmri-use-in-stroke-research\">Rethinking fMRI Use in Stroke Research<br><\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-kAIoMJ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Functional MRI (fMRI) holds great potential for exploring brain dynamics after stroke, but its clinical applications remain limited. The challenges stem from the high dimensionality of fMRI data and the effects of disrupted cerebral blood flow.\u00a0<strong>Dr. Koba and his co-authors<\/strong>\u00a0proposed an innovative approach that addresses both of these challenges.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Functional MRI (fMRI) holds great potential for exploring brain dynamics after stroke, but its clinical applications remain limited. The challenges stem from the high dimensionality of fMRI data and the effects of disrupted cerebral blood flow.\u00a0<strong>Dr. Koba and his co-authors<\/strong>\u00a0proposed an innovative approach that addresses both of these challenges.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-ZJTA04","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-s18JEM"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading\" id=\"h-methods-from-hemodynamic-lag-to-functional-damage-mapping\">Methods: From Hemodynamic Lag to Functional Damage Mapping<br><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading\" id=\"h-methods-from-hemodynamic-lag-to-functional-damage-mapping\">Methods: From Hemodynamic Lag to Functional Damage Mapping<br><\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-eCYdnT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The study involved&nbsp;104 ischemic stroke patients&nbsp;and&nbsp;26 healthy controls, all of whom underwent fMRI scanning within two weeks of stroke onset. After preprocessing, the data were adjusted for&nbsp;hemodynamic delays&nbsp;by shifting voxel-wise time series to align more closely with the gray matter signal.<br>Using&nbsp;nonlinear diffusion embedding, the researchers generated low-dimensional functional connectivity gradients. The first three components from the control group were averaged to define a reference topography. For each patient,&nbsp;damage&nbsp;was calculated as the Euclidean distance between their cortical connectivity profile and this reference. These damage maps were then used to predict stroke severity (NIHSS score). Gray matter disconnection profiles served as an additional reference.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The study involved&nbsp;104 ischemic stroke patients&nbsp;and&nbsp;26 healthy controls, all of whom underwent fMRI scanning within two weeks of stroke onset. After preprocessing, the data were adjusted for&nbsp;hemodynamic delays&nbsp;by shifting voxel-wise time series to align more closely with the gray matter signal.<br>Using&nbsp;nonlinear diffusion embedding, the researchers generated low-dimensional functional connectivity gradients. The first three components from the control group were averaged to define a reference topography. For each patient,&nbsp;damage&nbsp;was calculated as the Euclidean distance between their cortical connectivity profile and this reference. These damage maps were then used to predict stroke severity (NIHSS score). Gray matter disconnection profiles served as an additional reference.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-ZJTA04","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-M5a1d4","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-results-accurate-prediction-of-clinical-symptoms\">Results: Accurate Prediction of Clinical Symptoms<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-results-accurate-prediction-of-clinical-symptoms\">Results: Accurate Prediction of Clinical Symptoms<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-PHqxoT","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Correcting for hemodynamic lag significantly enhanced functional connectivity, particularly along the\u00a0<strong>visual\u2013somatomotor axis<\/strong>\u00a0(t(103)= 4.96, p&lt;0.05). The derived maps of functional damage were strongly associated with specific clinical deficits, including\u00a0<strong>language impairments<\/strong>\u00a0(r=0.47),\u00a0<strong>spatial neglect<\/strong>\u00a0(r=0.41), and\u00a0<strong>left-sided motor deficits<\/strong>\u00a0(leg: r=0.49, arm: r=0.45). All associations were statistically significant after multiple comparison correction (pFDR&lt;0.05).<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Correcting for hemodynamic lag significantly enhanced functional connectivity, particularly along the\u00a0<strong>visual\u2013somatomotor axis<\/strong>\u00a0(t(103)= 4.96, p&lt;0.05). The derived maps of functional damage were strongly associated with specific clinical deficits, including\u00a0<strong>language impairments<\/strong>\u00a0(r=0.47),\u00a0<strong>spatial neglect<\/strong>\u00a0(r=0.41), and\u00a0<strong>left-sided motor deficits<\/strong>\u00a0(leg: r=0.49, arm: r=0.45). All associations were statistically significant after multiple comparison correction (pFDR&lt;0.05).<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-ZJTA04","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-gHxbkl","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-conclusion-functional-damage-mapping-as-a-clinical-tool\">Conclusion: Functional Damage Mapping as a Clinical Tool<br><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\" id=\"h-conclusion-functional-damage-mapping-as-a-clinical-tool\">Conclusion: Functional Damage Mapping as a Clinical Tool<br><\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-LD3caS","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The poster presented by Dr. Koba demonstrates that\u00a0<strong>combining hemodynamic lag correction with dimensionality reduction techniques<\/strong>\u00a0can improve the clinical relevance of fMRI in stroke. The resulting functional damage maps offer interpretable and anatomically accurate representations of stroke-induced brain changes \u2014 helping to bridge the gap between neuroimaging and clinical assessment.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The poster presented by Dr. Koba demonstrates that\u00a0<strong>combining hemodynamic lag correction with dimensionality reduction techniques<\/strong>\u00a0can improve the clinical relevance of fMRI in stroke. The resulting functional damage maps offer interpretable and anatomically accurate representations of stroke-induced brain changes \u2014 helping to bridge the gap between neuroimaging and clinical assessment.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-ZJTA04","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]}],"meta_data":{"has_thumbnail_pattern":false,"share_on_social_media":{"has_social_media":false}},"featured_image":{"url":"https:\/\/sano.science\/wp-content\/uploads\/2025\/05\/Cemal-Koba-ESO-2025-01-921x1024.webp"},"main_category":{"name":"Uncategorized"},"prev_page":{"slug":"the-4th-gemini-consortium-meeting-held-in-krakow-2025"},"next_page":{"slug":"sano-news-april-2025-updates-from-the-world-of-computational-medicine"},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/24243","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/comments?post=24243"}],"version-history":[{"count":2,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/24243\/revisions"}],"predecessor-version":[{"id":24337,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/24243\/revisions\/24337"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/24248"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=24243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/categories?post=24243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/tags?post=24243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}