{"id":4487,"date":"2017-12-21T18:07:46","date_gmt":"2017-12-21T17:07:46","guid":{"rendered":"http:\/\/project.inria.fr\/siliconvalley\/?p=4487"},"modified":"2018-08-02T15:29:41","modified_gmt":"2018-08-02T14:29:41","slug":"focus-on-largebrainnets","status":"publish","type":"post","link":"https:\/\/project.inria.fr\/siliconvalley\/2017\/12\/21\/focus-on-largebrainnets\/","title":{"rendered":"Focus on a joint research project: LargeBrainNets"},"content":{"rendered":"<table class=\"aligncenter\" style=\"height: 200px; width: 155.28%; border-collapse: collapse; border-style: none; border-color: #ffffff; background-color: #ffffff;\" border=\"1\" cellpadding=\"50px\">\n<tbody>\n<tr style=\"height: 148px;\">\n<td style=\"width: 26.5334%; height: 148px;\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-4481\" src=\"http:\/\/project.inria.fr\/siliconvalley\/files\/2017\/11\/langage-chapo_abecedaire_epi-150x150.jpg\" alt=\"\" width=\"185\" height=\"185\" \/><\/td>\n<td style=\"width: 141.999%; height: 148px;\">\n<p style=\"text-align: left;\" align=\"center\"><span style=\"font-size: 24pt; color: #266d83;\"><strong><span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"http:\/\/www-sop.inria.fr\/teams\/athena\/largebrainnets\/\" target=\"_blank\" rel=\"noopener\">LargeBrainNets<\/a><\/span> (Since 2016)<\/strong><\/span><\/p>\n<p style=\"text-align: left;\" align=\"center\"><span style=\"font-size: 24pt; color: #266d83;\"><strong>Characterizing Large-scale Brain Networks Using Novel Computational Methods for dMRI and fMRI-based Connectivity<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span style=\"color: #266d83;\">Principal Investigators:\u00a0<\/span><\/h4>\n<ul>\n<li><a href=\"http:\/\/pages.saclay.inria.fr\/demian.wassermann\/\" target=\"_blank\" rel=\"noopener\">Demian Wassermann<\/a>, <a href=\"http:\/\/www.inria.fr\/en\/teams\/parietal\" target=\"_blank\" rel=\"noopener\">PARIETAL<\/a> project-team, Inria Saclay (formerly\u00a0<a href=\"https:\/\/team.inria.fr\/athena\/fr\/\" target=\"_blank\" rel=\"noopener\">ATHENA<\/a>\u00a0project team, Inria Sophia Antipolis)<\/li>\n<li><a href=\"https:\/\/med.stanford.edu\/profiles\/vinod-menon?tab=bio\" target=\"_blank\" rel=\"noopener\">Vinod Menon,<\/a>\u00a0 <a href=\"http:\/\/med.stanford.edu\/scsnl.html\" target=\"_blank\" rel=\"noopener\">Stanford Cognitive and Systems Neuroscience Laboratory<\/a><\/li>\n<\/ul>\n<h4><span style=\"color: #266d83;\">Research objectives:<\/span><\/h4>\n<p class=\"p1\" style=\"text-align: justify;\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-4492 alignleft\" src=\"http:\/\/project.inria.fr\/siliconvalley\/files\/2017\/11\/logo.png\" alt=\"\" width=\"133\" height=\"89\" \/>The major goal of this project is to develop and validate sophisticated computational tools for identifying functional nodes at the whole-brain level and measuring structural and functional connectivity between them, using state-of-the-art human brain\u00a0MR imaging techniques and open-source datasets such as Human Connectome Project data. Our proposed methods will\u00a0reveal in unprecedented detail the structural and functional connectivity of the human brain. Furthermore, our innovative\u00a0computational approach to brain connectomics will help create the building blocks for shaping the next generation of\u00a0research on brain function and psychopathology.<\/p>\n<h4><span style=\"color: #266d83;\">Scientific achievements:<\/span><\/h4>\n<ul>\n<li style=\"text-align: justify;\">The Visual Word Form Area (VWFA) of the human brain has been\u00a0considered as a fine-tuned functional module in\u00a0the human brain over the\u00a0development for visual word recognition. We\u00a0have\u00a0advanced our understanding of the\u00a0connectivity fingerprints of VWFA and its cognitive function. For this, delineated the\u00a0functional and structural\u00a0connectivity of VWFA in the same adult cohort,\u00a0focusing on the contrast between fronto-temporal language regions\u00a0and\u00a0fronto-parietal attention networks. \u00a0Based on the \u201cconnectivity constraints\u201d account, \u00a0we are testing two hypotheses: 1) if VWFA\u00a0involves word processing, it will have strong and highly-concordant connectivitywith\u00a0fronto-temporal regions, and hypothesise these patterns of connectivity are\u00a0associated with\u00a0language skills; on the contrary, if VWFA is partly of the attention network,\u00a0it will strong and\u00a0highly-concordant connectivity of VWFA to fronto-parietal\u00a0regions and hypothesise that the VWFA-parietal connectivity\u00a0correlates with attention\u00a0skills rather than reading skills<\/li>\n<li style=\"text-align: justify;\">The human insular cortex is an integrative\u00a0brain structure involved in cognition, emotion and introspection.\u00a0A unique aspect of the neuronal organization of the insula is the\u00a0presence of von Economo neurons (VENs). \u00a0The presence of VENs is thought to play an\u00a0important role in goal-directed behaviors and emotional\u00a0regulation. Our first contribution on this aspect, was to show that clinical MRI scanners are\u00a0sensitive to the presence and\u00a0morphological characteristics of VENs. For this,\u00a0we provided 3 different lines of evidence: a theoretical one, based\u00a0on simple\u00a0cellular models; an in silico one based on simulations of the MRI acquisition\u00a0on 3D reconstruction of\u00a0VENs; and finally, evidence of the sensitivity of the\u00a0signal on a database of 400+ human individuals.<\/li>\n<\/ul>\n<h4><span style=\"color: #266d83;\">Publications and Awards:<\/span><\/h4>\n<ul>\n<li>8 publications<\/li>\n<li>the 2016 publication by Gallardo et al in OHBM has been given a student merit award at the Organisation by the Human Brain Mapping (Geneva, 2016)<\/li>\n<\/ul>\n<h4><span style=\"color: #266d83;\">Selected Publication:<\/span><\/h4>\n<ul>\n<li class=\"p1\">Chen L, Wassermann D, Kochalka J, Menon V (2017) Concordance between white-matter pathways and functional circuits linking the VWFA and IPS. OHBM 2017 (Vancouver)\u00a0<a class=\"\" href=\"https:\/\/hal.inria.fr\/hal-01558273v1\" target=\"_blank\" rel=\"noopener\">https:\/\/hal.inria.fr\/hal-01558273v1<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>LargeBrainNets (Since 2016) Characterizing Large-scale Brain Networks Using Novel Computational Methods for dMRI and fMRI-based Connectivity Principal Investigators:\u00a0 Demian Wassermann, PARIETAL project-team, Inria Saclay (formerly\u00a0ATHENA\u00a0project team, Inria Sophia Antipolis) Vinod Menon,\u00a0 Stanford Cognitive and Systems Neuroscience Laboratory Research objectives: The major goal of this project is to develop and validate sophisticated computational tools for identifying &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/project.inria.fr\/siliconvalley\/2017\/12\/21\/focus-on-largebrainnets\/\">Continue reading<\/a><\/p>\n","protected":false},"author":308,"featured_media":4481,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[50,28,39],"tags":[],"class_list":["post-4487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-focus-on","category-news","category-research","item-wrap"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/posts\/4487","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/users\/308"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/comments?post=4487"}],"version-history":[{"count":11,"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/posts\/4487\/revisions"}],"predecessor-version":[{"id":5407,"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/posts\/4487\/revisions\/5407"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/media\/4481"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/media?parent=4487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/categories?post=4487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/project.inria.fr\/siliconvalley\/wp-json\/wp\/v2\/tags?post=4487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}