Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

<!DOCTYPE html> <html xmlns="http://www.w3.org/1999/xhtml" lang="fr"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> <link href="http://purl.org/dc/elements/1.1/" rel="schema.DC"> <meta name="citation_language" content="en" /> <meta name="DC.language" content="en" /> <meta name="DC.type" content="journal" /> <meta property="og:type" content="journal" /> <meta name="citation_title" content="Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome" /> <meta name="DC.title" content="Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome" /> <meta property="og:title" content="Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome" /> <meta name="DC.identifier" content="https://hal.science/hal-04649403" /> <meta name="DC.identifier" content="hal-04649403" /> <meta property="og:url" content="https://hal.science/hal-04649403" /> <meta name="citation_author" content="B. Barile" /> <meta name="citation_author_institution" content="RMN et optique : De la mesure au biomarqueur" /> <meta name="citation_author_institution" content="Catholic University of Leuven = Katholieke Universiteit Leuven" /> <meta name="DC.creator" content="B. Barile" /> <meta name="citation_author" content="P. Ashtari" /> <meta name="citation_author_institution" content="Catholic University of Leuven = Katholieke Universiteit Leuven" /> <meta name="DC.creator" content="P. Ashtari" /> <meta name="citation_author" content="C. Stamile" /> <meta name="DC.creator" content="C. Stamile" /> <meta name="citation_author" content="A. Marzullo" /> <meta name="citation_author_institution" content="Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie]" /> <meta name="DC.creator" content="A. Marzullo" /> <meta name="citation_author" content="F. Maes" /> <meta name="citation_author_institution" content="Catholic University of Leuven = Katholieke Universiteit Leuven" /> <meta name="DC.creator" content="F. Maes" /> <meta name="citation_author" content="F. Durand-Dubief" /> <meta name="citation_author_hal_id" content="francoise-durand-dubief" /> <meta name="citation_author_institution" content="Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL]" /> <meta name="citation_author_institution" content="RMN et optique : De la mesure au biomarqueur" /> <meta name="DC.creator" content="F. Durand-Dubief" /> <meta name="citation_author" content="S. van Huffel" /> <meta name="citation_author_institution" content="Catholic University of Leuven = Katholieke Universiteit Leuven" /> <meta name="DC.creator" content="S. van Huffel" /> <meta name="citation_author" content="D. Sappey-Marinier" /> <meta name="citation_author_hal_id" content="dominique-sappey-marinier" /> <meta name="citation_author_institution" content="Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé" /> <meta name="citation_author_institution" content="Université de Lyon" /> <meta name="citation_author_institution" content="Institut National des Sciences Appliquées de Lyon" /> <meta name="citation_author_institution" content="Université Claude Bernard Lyon 1" /> <meta name="citation_author_institution" content="Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant" /> <meta name="citation_author_institution" content="RMN et optique : De la mesure au biomarqueur" /> <meta name="DC.creator" content="D. Sappey-Marinier" /> <meta name="citation_abstract" content="Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods. Materials and Methods: A dataset composed of 90 MS patients acquired at the MS clinic of Lyon Neurological Hospital was used for the analysis. Four MS profiles were considered, corresponding to Clinical Isolated Syndrome (CIS), Relapsing-Remitting MS (RRMS), Secondary Progressive MS (SPMS), and Primary Progressive MS (PPMS). Each patient was classified in one of these profiles by our neurologist and underwent longitudinal MRI examinations including T1-weighted image acquisition at each examination, from which the GM tissue was segmented and the cortical GM thickness measured. Following the GM parcellation using two different atlases (FSAverage and Glasser 2016), the morphological connectome was built and six global metrics (Betweenness Centrality (BC), Assortativity (r), Transitivity (T), Efficiency (E g ), Modularity (Q) and Density (D)) were extracted. Based on their connectivity metrics, MS profiles were first statistically compared and second, classified using four different learning machines (Logistic Regression, Random Forest, Support Vector Machine and AdaBoost), combined in a higher level ensemble model by majority voting. Finally, the impact of the GM spatial resolution on the MS clinical profiles classification was analyzed. Results: Using binary comparisons between the four MS clinical profiles, statistical differences and classification performances higher than 0.7 were observed. Good performances were obtained when comparing the two early clinical forms, RRMS and PPMS (F1 score of 0.86), and the two neurodegenerative profiles, PPMS and SPMS (F1 score of 0.72). When comparing the two atlases, slightly better performances were obtained with the Glasser 2016 atlas, especially between RRMS with PPMS (F1 score of 0.83), compared to the FSAverage atlas (F1 score of 0.69). Also, the thresholding value for graph binarization was investigated suggesting more informative graph properties in the percentile range between 0.6 and 0.8. Conclusion: An automated pipeline was proposed for the classification of MS clinical profiles using six global graph metrics extracted from the GM morphological connectome of MS patients. This work demonstrated that GM morphological connectivity data could provide good classification performances by combining four simple ML models, without the cost of long and complex MR techniques, such as MR diffusion, and/or deep learning architectures." /> <meta name="DC.description" content="Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods. Materials and Methods: A dataset composed of 90 MS patients acquired at the MS clinic of Lyon Neurological Hospital was used for the analysis. Four MS profiles were considered, corresponding to Clinical Isolated Syndrome (CIS), Relapsing-Remitting MS (RRMS), Secondary Progressive MS (SPMS), and Primary Progressive MS (PPMS). Each patient was classified in one of these profiles by our neurologist and underwent longitudinal MRI examinations including T1-weighted image acquisition at each examination, from which the GM tissue was segmented and the cortical GM thickness measured. Following the GM parcellation using two different atlases (FSAverage and Glasser 2016), the morphological connectome was built and six global metrics (Betweenness Centrality (BC), Assortativity (r), Transitivity (T), Efficiency (E g ), Modularity (Q) and Density (D)) were extracted. Based on their connectivity metrics, MS profiles were first statistically compared and second, classified using four different learning machines (Logistic Regression, Random Forest, Support Vector Machine and AdaBoost), combined in a higher level ensemble model by majority voting. Finally, the impact of the GM spatial resolution on the MS clinical profiles classification was analyzed. Results: Using binary comparisons between the four MS clinical profiles, statistical differences and classification performances higher than 0.7 were observed. Good performances were obtained when comparing the two early clinical forms, RRMS and PPMS (F1 score of 0.86), and the two neurodegenerative profiles, PPMS and SPMS (F1 score of 0.72). When comparing the two atlases, slightly better performances were obtained with the Glasser 2016 atlas, especially between RRMS with PPMS (F1 score of 0.83), compared to the FSAverage atlas (F1 score of 0.69). Also, the thresholding value for graph binarization was investigated suggesting more informative graph properties in the percentile range between 0.6 and 0.8. Conclusion: An automated pipeline was proposed for the classification of MS clinical profiles using six global graph metrics extracted from the GM morphological connectome of MS patients. This work demonstrated that GM morphological connectivity data could provide good classification performances by combining four simple ML models, without the cost of long and complex MR techniques, such as MR diffusion, and/or deep learning architectures." /> <meta name="description" content="Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods. Materials and Methods: A dataset composed of 90 MS patients acquired at the MS clinic of Lyon Neurological Hospital was used for the analysis. Four MS profiles were considered, corresponding to Clinical Isolated Syndrome (CIS), Relapsing-Remitting MS (RRMS), Secondary Progressive MS (SPMS), and Primary Progressive MS (PPMS). Each patient was classified in one of these profiles by our neurologist and underwent longitudinal MRI examinations including T1-weighted image acquisition at each examination, from which the GM tissue was segmented and the cortical GM thickness measured. Following the GM parcellation using two different atlases (FSAverage and Glasser 2016), the morphological connectome was built and six global metrics (Betweenness Centrality (BC), Assortativity (r), Transitivity (T), Efficiency (E g ), Modularity (Q) and Density (D)) were extracted. Based on their connectivity metrics, MS profiles were first statistically compared and second, classified using four different learning machines (Logistic Regression, Random Forest, Support Vector Machine and AdaBoost), combined in a higher level ensemble model by majority voting. Finally, the impact of the GM spatial resolution on the MS clinical profiles classification was analyzed. Results: Using binary comparisons between the four MS clinical profiles, statistical differences and classification performances higher than 0.7 were observed. Good performances were obtained when comparing the two early clinical forms, RRMS and PPMS (F1 score of 0.86), and the two neurodegenerative profiles, PPMS and SPMS (F1 score of 0.72). When comparing the two atlases, slightly better performances were obtained with the Glasser 2016 atlas, especially between RRMS with PPMS (F1 score of 0.83), compared to the FSAverage atlas (F1 score of 0.69). Also, the thresholding value for graph binarization was investigated suggesting more informative graph properties in the percentile range between 0.6 and 0.8. Conclusion: An automated pipeline was proposed for the classification of MS clinical profiles using six global graph metrics extracted from the GM morphological connectome of MS patients. This work demonstrated that GM morphological connectivity data could provide good classification performances by combining four simple ML models, without the cost of long and complex MR techniques, such as MR diffusion, and/or deep learning architectures." /> <meta property="og:description" content="Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods. Materials and Methods: A dataset composed of 90 MS patients acquired at the MS clinic of Lyon Neurological Hospital was used for the analysis. Four MS profiles were considered, corresponding to Clinical Isolated Syndrome (CIS), Relapsing-Remitting MS (RRMS), Secondary Progressive MS (SPMS), and Primary Progressive MS (PPMS). Each patient was classified in one of these profiles by our neurologist and underwent longitudinal MRI examinations including T1-weighted image acquisition at each examination, from which the GM tissue was segmented and the cortical GM thickness measured. Following the GM parcellation using two different atlases (FSAverage and Glasser 2016), the morphological connectome was built and six global metrics (Betweenness Centrality (BC), Assortativity (r), Transitivity (T), Efficiency (E g ), Modularity (Q) and Density (D)) were extracted. Based on their connectivity metrics, MS profiles were first statistically compared and second, classified using four different learning machines (Logistic Regression, Random Forest, Support Vector Machine and AdaBoost), combined in a higher level ensemble model by majority voting. Finally, the impact of the GM spatial resolution on the MS clinical profiles classification was analyzed. Results: Using binary comparisons between the four MS clinical profiles, statistical differences and classification performances higher than 0.7 were observed. Good performances were obtained when comparing the two early clinical forms, RRMS and PPMS (F1 score of 0.86), and the two neurodegenerative profiles, PPMS and SPMS (F1 score of 0.72). When comparing the two atlases, slightly better performances were obtained with the Glasser 2016 atlas, especially between RRMS with PPMS (F1 score of 0.83), compared to the FSAverage atlas (F1 score of 0.69). Also, the thresholding value for graph binarization was investigated suggesting more informative graph properties in the percentile range between 0.6 and 0.8. Conclusion: An automated pipeline was proposed for the classification of MS clinical profiles using six global graph metrics extracted from the GM morphological connectome of MS patients. This work demonstrated that GM morphological connectivity data could provide good classification performances by combining four simple ML models, without the cost of long and complex MR techniques, such as MR diffusion, and/or deep learning architectures." /> <meta name="citation_keywords" content="artificial intelligence\textendashAI;brain connectivity;grey matter;machine learning;multiple sclerosis" /> <meta name="DC.subject" content="artificial intelligence\textendashAI;brain connectivity;grey matter;machine learning;multiple sclerosis" /> <meta name="keywords" content="artificial intelligence\textendashAI;brain connectivity;grey matter;machine learning;multiple sclerosis" /> <meta name="citation_pdf_url" content="https://hal.science/hal-04649403/document" /> <meta name="DC.identifier" content="https://hal.science/hal-04649403/document" /> <meta property="og:url" content="https://hal.science/hal-04649403/document" /> <meta name="citation_online_date" content="2024/11/27" /> <meta name="citation_publication_date" content="2022" /> <meta name="DC.date" content="2022" /> <meta name="DC.issued" content="2022" /> <meta name="citation_journal_title" content="Frontiers in Robotics and AI" /> <meta name="DC.relation.ispartof" content="Frontiers in Robotics and AI" /> <meta name="citation_volume" content="9" /> <meta name="DC.citation.volume" content="9" /> <meta name="citation_firstpage" content="926255" /> <meta name="citation_doi" content="10.3389/frobt.2022.926255" /> <meta name="citation_pmid" content="36313252" /> <meta name="citation_id" content="PMC9608344" /> <meta name="citation_funding_source" content="citation_funder=Agence Nationale de la Recherche; 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$(btn).closest('div').find('input:first').val(""); $(btn).closest('div').find('input:first').focus(); } } </script><form id="advSearch" role="form" data-library="ccsd" action="/search/index/?" method="get"> <div class="form-group row " id="document-element"><label for="document" class="col-md-3 control-label optional">Information de documents</label> <div class="col-md-9"><div class="input-group" style="margin-bottom : 10px;"><button class='btn btn-sm btn-default dropdown-toggle form-btn-lang' style=' z-index:0!important;' data-toggle='dropdown' type='button' value='title_t'>Titres </button><ul class='dropdown-menu' role='menu' style='max-height: 140px; overflow:auto;'><li class='dropdown-item'><a data-val='title_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Titres</a></li><li class='dropdown-item'><a data-val='subTitle_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Sous-titre</a></li><li class='dropdown-item'><a data-val='bookTitle_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Titre de l'ouvrage</a></li><li class='dropdown-item'><a data-val='serie_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Titre du volume (Série)</a></li><li class='dropdown-item'><a data-val='text_fulltext' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Champ de recherche par défaut (multicritères) + texte intégral des PDF</a></li><li class='dropdown-item'><a data-val='abstract_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Résumé</a></li><li class='dropdown-item'><a data-val='fulltext_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Texte intégral indexé des documents PDF</a></li><li class='dropdown-item'><a data-val='keyword_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Mots-clés</a></li><li class='dropdown-item'><a data-val='docType_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Type de document</a></li><li class='dropdown-item'><a data-val='docSubType_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Sous-type de document</a></li><li class='dropdown-item'><a data-val='identifiers_id' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Tous les identifiants du document</a></li><li class='dropdown-item'><a data-val='halId_id' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Identifiant HAL du dépôt</a></li><li class='dropdown-item'><a data-val='language_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Langue du document (texte)</a></li><li class='dropdown-item'><a data-val='country_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Pays (Texte)</a></li><li class='dropdown-item'><a data-val='city_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Ville</a></li><li class='dropdown-item'><a data-val='inPress_bool' href='javascript:void(0);' onclick="LangInit(this, 'qa');">À paraître (true ou false)</a></li></ul> <input type="text" name="qa[title_t][]" id="document" value="" class="input-flex form-control input-sm" lang="title_t" aria-describedby="document-error" style=" " data-keyword="1" /><span class="input-group-btn"><button type='button' class='btn btn-sm btn-primary form-btn-multi form-btn-add' onclick='MultiTextSimpleLangKeywordAdd(this, "qa");' data-toggle='tooltip' data-placement='right' data-original-title='Ajouter'><i class='icon icon-plus'></i> <span> Ajouter</span></button></span></div></div></div> <div class="form-group row " id="author-element"><label for="author" class="col-md-3 control-label optional">Auteur</label> <div class="col-md-9"><div class="input-group" style="margin-bottom : 10px;"><button class='btn btn-sm btn-default dropdown-toggle form-btn-lang' style=' z-index:0!important;' data-toggle='dropdown' type='button' value='auth_t'>Auteur (multicritères) </button><ul class='dropdown-menu' role='menu' style='max-height: 140px; overflow:auto;'><li class='dropdown-item'><a data-val='auth_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur (multicritères)</a></li><li class='dropdown-item'><a data-val='authFullName_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Nom complet</a></li><li class='dropdown-item'><a data-val='authLastName_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Nom de famille</a></li><li class='dropdown-item'><a data-val='authFirstName_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Prénom</a></li><li class='dropdown-item'><a data-val='authMiddleName_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Complément de nom, deuxième prénom</a></li><li class='dropdown-item'><a data-val='authOrganism_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Organisme payeur</a></li><li class='dropdown-item'><a data-val='authIdHal_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : IdHal (chaîne de caractères)</a></li><li class='dropdown-item'><a data-val='authQuality_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Fonction</a></li><li class='dropdown-item'><a data-val='authIdHal_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : personID (entier)</a></li><li class='dropdown-item'><a data-val='authOrganismId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Identifiant de l'organisme payeur</a></li><li class='dropdown-item'><a data-val='authStructId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Auteur : Identifiant de la structure</a></li><li class='dropdown-item'><a data-val='director_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Directeur de thèse</a></li><li class='dropdown-item'><a data-val='publisher_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Éditeur</a></li><li class='dropdown-item'><a data-val='scientificEditor_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Éditeur scientifique</a></li><li class='dropdown-item'><a data-val='seriesEditor_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Éditeur de la série</a></li></ul> <input type="text" name="qa[auth_t][]" id="author" value="" class="input-flex form-control input-sm" lang="auth_t" aria-describedby="author-error" style=" " data-keyword="1" /><span class="input-group-btn"><button type='button' class='btn btn-sm btn-primary form-btn-multi form-btn-add' onclick='MultiTextSimpleLangKeywordAdd(this, "qa");' data-toggle='tooltip' data-placement='right' data-original-title='Ajouter'><i class='icon icon-plus'></i> <span> Ajouter</span></button></span></div></div></div> <div class="form-group row " id="structure-element"><label for="structure" class="col-md-3 control-label optional">Structure</label> <div class="col-md-9"><div class="input-group" style="margin-bottom : 10px;"><button class='btn btn-sm btn-default dropdown-toggle form-btn-lang' style=' z-index:0!important;' data-toggle='dropdown' type='button' value='structure_t'>Structure (multicritères) </button><ul class='dropdown-menu' role='menu' style='max-height: 140px; overflow:auto;'><li class='dropdown-item'><a data-val='structure_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure (multicritères)</a></li><li class='dropdown-item'><a data-val='structAcronym_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure : Acronyme</a></li><li class='dropdown-item'><a data-val='structName_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure : Nom</a></li><li class='dropdown-item'><a data-val='structCode_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure : Code</a></li><li class='dropdown-item'><a data-val='structCountry_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure : Pays</a></li><li class='dropdown-item'><a data-val='structType_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure : Type</a></li><li class='dropdown-item'><a data-val='structValid_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure : État dans le référentiel</a></li><li class='dropdown-item'><a data-val='structId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure : Identifiant HAL de la structure</a></li><li class='dropdown-item'><a data-val='rteamStructCountry_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure/équipe de recherche : Pays</a></li><li class='dropdown-item'><a data-val='deptStructCountry_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure/regroupement d'équipes : Pays</a></li><li class='dropdown-item'><a data-val='labStructCountry_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure/laboratoire : Pays</a></li><li class='dropdown-item'><a data-val='rgrpLabStructCountry_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure/regroupement de laboratoires : Pays</a></li><li class='dropdown-item'><a data-val='instStructCountry_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure/institution : Pays</a></li><li class='dropdown-item'><a data-val='rgrpInstStructCountry_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Structure/regroupement d'institutions : Pays</a></li></ul> <input type="text" name="qa[structure_t][]" id="structure" value="" class="input-flex form-control input-sm" lang="structure_t" aria-describedby="structure-error" style=" " data-keyword="1" /><span class="input-group-btn"><button type='button' class='btn btn-sm btn-primary form-btn-multi form-btn-add' onclick='MultiTextSimpleLangKeywordAdd(this, "qa");' data-toggle='tooltip' data-placement='right' data-original-title='Ajouter'><i class='icon icon-plus'></i> <span> Ajouter</span></button></span></div></div></div> <div class="form-group row " id="qa-element"><label for="qa" class="col-md-3 control-label optional">Autres</label> <div class="col-md-9"><div class="input-group" style="margin-bottom : 10px;"><button class='btn btn-sm btn-default dropdown-toggle form-btn-lang' style=' z-index:0!important;' data-toggle='dropdown' type='button' value='text'>Champ de recherche par défaut (multicritères) </button><ul class='dropdown-menu' role='menu' style='max-height: 140px; overflow:auto;'><li class='dropdown-item'><a data-val='text' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Champ de recherche par défaut (multicritères)</a></li><li class='dropdown-item'><a data-val='--sep1' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='journal_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revues (multicritères)</a></li><li class='dropdown-item'><a data-val='journalPublisher_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : Éditeur</a></li><li class='dropdown-item'><a data-val='journalTitleAbbr_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : Titre abrégé</a></li><li class='dropdown-item'><a data-val='journalTitle_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : Titre</a></li><li class='dropdown-item'><a data-val='journalId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : Identifiant interne</a></li><li class='dropdown-item'><a data-val='journalDate_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : Date de début de publication</a></li><li class='dropdown-item'><a data-val='journalEissn_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : ISSN électronique</a></li><li class='dropdown-item'><a data-val='journalIssn_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : ISSN</a></li><li class='dropdown-item'><a data-val='journalPublisher_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : Éditeur</a></li><li class='dropdown-item'><a data-val='journalSherpaColor_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : Couleur dans SHERPA/RoMEO</a></li><li class='dropdown-item'><a data-val='journalValid_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Revue : État dans le référentiel</a></li><li class='dropdown-item'><a data-val='--sep2' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='conference_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Colloque (multicritères)</a></li><li class='dropdown-item'><a data-val='conferenceTitle_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Colloque : Titre</a></li><li class='dropdown-item'><a data-val='conferenceOrganizer_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Colloque : Organisateur</a></li><li class='dropdown-item'><a data-val='conferenceStartDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Colloque : date de début (Année)</a></li><li class='dropdown-item'><a data-val='conferenceEndDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Colloque : date de fin (Année)</a></li><li class='dropdown-item'><a data-val='invitedCommunication_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Conférence invitée (oui/non)</a></li><li class='dropdown-item'><a data-val='--sep3' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='anrProject_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projets ANR (multicritères)</a></li><li class='dropdown-item'><a data-val='anrProjectAcronym_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet ANR : Acronyme</a></li><li class='dropdown-item'><a data-val='anrProjectAcronymProgram_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet ANR : Acronyme du programme</a></li><li class='dropdown-item'><a data-val='anrProjectReference_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet ANR : Code décision (référence)</a></li><li class='dropdown-item'><a data-val='anrProjectTitle_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet ANR : Nom</a></li><li class='dropdown-item'><a data-val='anrProjectId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet ANR : Identifiant interne</a></li><li class='dropdown-item'><a data-val='anrProjectValid_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet ANR : État dans le référentiel</a></li><li class='dropdown-item'><a data-val='--sep4' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='europeanProject_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projets européens (multicritères)</a></li><li class='dropdown-item'><a data-val='europeanProjectAcronym_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Acronyme</a></li><li class='dropdown-item'><a data-val='europeanProjectCallId_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Identifiant de l'appel à projet</a></li><li class='dropdown-item'><a data-val='europeanProjectReference_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Référence</a></li><li class='dropdown-item'><a data-val='europeanProjectTitle_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Nom</a></li><li class='dropdown-item'><a data-val='europeanProjectEndDate_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Date de fin</a></li><li class='dropdown-item'><a data-val='europeanProjectFinancing_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Financement</a></li><li class='dropdown-item'><a data-val='europeanProjectStartDate_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Date de début</a></li><li class='dropdown-item'><a data-val='europeanProjectValid_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : État dans le référentiel</a></li><li class='dropdown-item'><a data-val='europeanProjectId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Projet européen : Identifiant interne</a></li><li class='dropdown-item'><a data-val='--sep6' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='producedDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Date de production : année</a></li><li class='dropdown-item'><a data-val='releasedDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Date de mise en ligne : année</a></li><li class='dropdown-item'><a data-val='publicationDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Date de publication : année</a></li><li class='dropdown-item'><a data-val='writingDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Date d'écriture : année</a></li><li class='dropdown-item'><a data-val='modifiedDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Date de modification du dépôt : année</a></li><li class='dropdown-item'><a data-val='submittedDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Date de dépôt : année</a></li><li class='dropdown-item'><a data-val='ePublicationDateY_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Date de publication électronique : année</a></li><li class='dropdown-item'><a data-val='--sep7' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='collection_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Collection HAL (multicritères)</a></li><li class='dropdown-item'><a data-val='collCategory_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Collection HAL : catégorie</a></li><li class='dropdown-item'><a data-val='collCode_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Collection HAL : Code</a></li><li class='dropdown-item'><a data-val='collName_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Collection HAL : Nom</a></li><li class='dropdown-item'><a data-val='collId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Collection HAL : Identifiant interne</a></li><li class='dropdown-item'><a data-val='--sep8' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='contributorId_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Identifiant interne du contributeur/déposant</a></li><li class='dropdown-item'><a data-val='contributorFullName_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Nom complet du contributeur/déposant</a></li><li class='dropdown-item'><a data-val='--sep9' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='domain_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Domaines</a></li><li class='dropdown-item'><a data-val='primaryDomain_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Domaine primaire</a></li><li class='dropdown-item'><a data-val='level0_domain_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Domaine racine</a></li><li class='dropdown-item'><a data-val='level1_domain_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Sous-domaine niveau 1</a></li><li class='dropdown-item'><a data-val='level2_domain_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Sous-domaine niveau 2</a></li><li class='dropdown-item'><a data-val='level3_domain_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Sous-domaine niveau 3</a></li><li class='dropdown-item'><a data-val='--sep10' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='status_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Statut du document</a></li><li class='dropdown-item'><a data-val='version_i' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Version du document</a></li><li class='dropdown-item'><a data-val='submitType_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Type de dépôt</a></li><li class='dropdown-item'><a data-val='docType_s' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Type de document</a></li><li class='dropdown-item'><a data-val='isbn_id' href='javascript:void(0);' onclick="LangInit(this, 'qa');">ISBN</a></li><li class='dropdown-item'><a data-val='number_id' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Numéro - référence</a></li><li class='dropdown-item'><a data-val='doiId_id' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Identifiant DOI</a></li><li class='dropdown-item'><a data-val='--sep11' href='javascript:void(0);' onclick="LangInit(this, 'qa');"></a></li><li class='dropdown-item'><a data-val='classification_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Classification</a></li><li class='dropdown-item'><a data-val='audience_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Audience</a></li><li class='dropdown-item'><a data-val='popularLevel_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Vulgarisation</a></li><li class='dropdown-item'><a data-val='peerReviewing_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Comité de lecture - texte (oui ou non)</a></li><li class='dropdown-item'><a data-val='proceedings_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Actes de colloque</a></li><li class='dropdown-item'><a data-val='localReference_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Référence interne</a></li><li class='dropdown-item'><a data-val='funding_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Financement</a></li><li class='dropdown-item'><a data-val='collaboration_t' href='javascript:void(0);' onclick="LangInit(this, 'qa');">Collaborations</a></li></ul> <input type="text" name="qa[text][]" id="qa" value="" lang="text" class=" form-control input-sm" aria-describedby="qa-error" style=" " data-keyword="1" /><span class="input-group-btn"><button type='button' class='btn btn-sm btn-primary form-btn-multi form-btn-add' onclick='MultiTextSimpleLangKeywordAdd(this, "qa");' data-toggle='tooltip' data-placement='right' data-original-title='Ajouter'><i class='icon icon-plus'></i> <span> Ajouter</span></button></span></div></div></div> <dt id="submit-label"> </dt><dd id="submit-element"> <button name="submit" id="submit-button" type="submit" value=" Lancer la recherche" class="btn btn-lg btnSearch hal-visualize-button" aria-describedby="submit-button-error"> Lancer la recherche</button></dd></form> <div class="mt-3"> <button class="tools-color btn-hide-show" data-selectOne="#solrSearchHeader" data-selectTwo="#advSearchHeader"> <span>Recherche experte (SolR)</span> </button> </div> </div> <div id="solrSearchHeader" class="hide"> <h3> Recherche experte (SolR)</h3> <form action="/search/index" method="get" id="searchHeaderSolr" name="search-simple" role="search"> <textarea type="text" name="q" class="p-5" autocomplete="off" cols="150" placeholder="Chercher un document, un auteur, un mot clef..." value=""></textarea> <div> <button type="submit" aria-label="Rechercher" class="hal-visualize-button"> <span class="icon-search" aria-hidden="true"></span> <span>Lancer la recherche</span> </button> </div> </form> <div class="mt-3"> <button class="tools-color btn-hide-show" data-selectOne="#solrSearchHeader" data-selectTwo="#advSearchHeader"> <span>Vers la recherche avancée</span> </button> </div> </div> </div> </div> </li> <li id="ssheader-submit" class="btn-primary-orange position-relative"> <a href="/submit/index" class="btn-hal hal-submit-button btn-primary-orange stretched-link"> <span class="icon-add colo-white" aria-hidden="true"></span> <span> Déposer </span> </a> </li> </ul> 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class="year strong">Année : 2022</span> </div> <div class="section-content section-shadow"> <div style="display: flex; justify-content: space-between;"> <div style="display: flex; align-items: center;"> <h2 class="title-lang en active" lang="en" style="margin-bottom: 0;">Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome</h2> </div> <div> <span style="margin-left: 2%; margin-right: 3%"></span> </div> </div> <span></span> <div id="authors-simplified"> <div class="authors"> <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> <li>PersonId : <strong>1250368</strong></li> <li>ORCID : <strong><a href="https://orcid.org/0000-0002-4016-9172" title="ORCID" target="_blank">0000-0002-4016-9172</a></strong></li> <li>IdRef : <strong><a href="https://www.idref.fr/269395008" title="IdRef" target="_blank">269395008</a></strong></li> </ul> </div> <a class='popover-affil' href="/search/index/q/*/structId_i/530749">RMN et optique : De la mesure au biomarqueur</a> <a class='popover-affil' href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> <a href="/search/index/q/*/authIdHal_i/1250368" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>B. Barile</span> </a> (1, 2) , <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> </div> <a class='popover-affil' href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> <a href="/search/index/q/*/authFullName_s/P.+Ashtari" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>P. Ashtari</span> </a> (2) , <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> </div> <a href="/search/index/q/*/authFullName_s/C.+Stamile" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>C. Stamile</span> </a> , <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> </div> <a class='popover-affil' href="/search/index/q/*/structId_i/103704">Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie]</a> <a href="/search/index/q/*/authFullName_s/A.+Marzullo" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>A. Marzullo</span> </a> (3) , <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> </div> <a class='popover-affil' href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> <a href="/search/index/q/*/authFullName_s/F.+Maes" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>F. Maes</span> </a> (2) , <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> <li>PersonId : <strong>172702</strong></li> <li>IdHAL : <a href="/search/index/q/*/authIdHal_s/francoise-durand-dubief" target="_blank" title="Consulter les publications"><strong>francoise-durand-dubief</strong></a></li> <li>ORCID : <strong><a href="https://orcid.org/0000-0002-2860-1700" title="ORCID" target="_blank">0000-0002-2860-1700</a></strong></li> <li>IdRef : <strong><a href="https://www.idref.fr/15778911X" title="IdRef" target="_blank">15778911X</a></strong></li> </ul> </div> <a class='popover-affil' href="/search/index/q/*/structId_i/300873">Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL]</a> <a class='popover-affil' href="/search/index/q/*/structId_i/530749">RMN et optique : De la mesure au biomarqueur</a> <a href="/search/index/q/*/authIdHal_s/francoise-durand-dubief" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>F. Durand-Dubief</span> </a> (4, 1) , <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> </div> <a class='popover-affil' href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> <a href="/search/index/q/*/authFullName_s/S.+van+Huffel" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>S. van Huffel</span> </a> (2) , <a type="button" data-toggle="popover" class="btn-popover no-hide" data-container="body" data-placement="right" data-title="" data-content=" <div class='popover-authors'> <div class='popover-author-header'> <h4>Auteur</h4> <ul> <li>Fonction : <strong>Auteur</strong></li> <li>PersonId : <strong>170664</strong></li> <li>IdHAL : <a href="/search/index/q/*/authIdHal_s/dominique-sappey-marinier" target="_blank" title="Consulter les publications"><strong>dominique-sappey-marinier</strong></a></li> <li>ORCID : <strong><a href="https://orcid.org/0000-0003-4104-1514" title="ORCID" target="_blank">0000-0003-4104-1514</a></strong></li> <li>IdRef : <strong><a href="https://www.idref.fr/033214344" title="IdRef" target="_blank">033214344</a></strong></li> </ul> </div> <a class='popover-affil' href="/search/index/q/*/structId_i/139739">Centre de Recherche en Acquisition et Traitement de l&#039;Image pour la Santé</a> <a class='popover-affil' href="/search/index/q/*/structId_i/301088">Université de Lyon</a> <a class='popover-affil' href="/search/index/q/*/structId_i/219748">Institut National des Sciences Appliquées de Lyon</a> <a class='popover-affil' href="/search/index/q/*/structId_i/194495">Université Claude Bernard Lyon 1</a> <a class='popover-affil' href="/search/index/q/*/structId_i/5460">Centre d&#039;Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant</a> <a class='popover-affil' href="/search/index/q/*/structId_i/530749">RMN et optique : De la mesure au biomarqueur</a> <a href="/search/index/q/*/authIdHal_s/dominique-sappey-marinier" title="Search author" target="_blank"> <div class='popover-resume hal-privilege-button'> <span class='icon-search hal-icon'></span> Chercher dans HAL </div> </a> </div> "> <span>D. Sappey-Marinier</span> </a> (5, 6, 7, 8, 9, 1) </div> <button type="button" class="btn btn-hide-show" data-selectOne="#authors-simplified" data-selectTwo="#authors-detailed">Afficher plus de détails</button> <div class="structures bg-beige"> <div> <span class="icon-institution" aria-hidden="true"></span> </div> <div> <span>1</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/530749' target='_blank'>RMN et optique : De la mesure au biomarqueur</a><small> (France)</small> <label class='label label-primary label-VALID'>530749</label><ul><li><a href='/search/index/q/*/structId_i/139739' target='_blank'>CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé</a><small> (7 avenue Jean Capelle, Bat Blaise Pascal, 69621 Villeurbanne Cedex - France)</small> <label class='label label-primary label-VALID'>139739</label><ul><li><a href='/search/index/q/*/structId_i/194495' target='_blank'>UCBL - Université Claude Bernard Lyon 1</a><small> (43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex - France)</small> <label class='label label-primary label-VALID'>194495</label><ul><li><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></li></ul></li><li><a href='/search/index/q/*/structId_i/219748' target='_blank'>INSA Lyon - Institut National des Sciences Appliquées de Lyon</a><small> (20 Avenue Albert Einstein, 69621 Villeurbanne cedex - France)</small> <label class='label label-primary label-VALID'>219748</label><ul><li><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></li><li><a href='/search/index/q/*/structId_i/301232' target='_blank'>INSA - Institut National des Sciences Appliquées</a><small> (France)</small> <label class='label label-primary label-VALID'>301232</label></li></ul></li><li><a href='/search/index/q/*/structId_i/300284' target='_blank'>UJM - Université Jean Monnet - Saint-Étienne</a><small> (10, Rue Tréfilerie – CS 82301 42023 Saint-Étienne Cedex 2 - France)</small> <label class='label label-primary label-VALID'>300284</label></li><li><a href='/search/index/q/*/structId_i/303623' target='_blank'>INSERM - Institut National de la Santé et de la Recherche Médicale</a> : U1206<small> (101, rue de Tolbiac, 75013 Paris - France)</small> <label class='label label-primary label-VALID'>303623</label></li><li><a href='/search/index/q/*/structId_i/441569' target='_blank'>CNRS - Centre National de la Recherche Scientifique</a> : UMR5220<small> (France)</small> <label class='label label-primary label-VALID'>441569</label></li></ul></li></ul></div>"> RMN et optique : De la mesure au biomarqueur </a> <br> <span>2</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/300656' target='_blank'>KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven</a><small> (Oude Markt 13 - bus 5005, 3000 Leuven - Belgique)</small> <label class='label label-primary label-VALID'>300656</label></div>"> KU Leuven - Catholic University of Leuven = Katholieke Universiteit Leuven </a> <br> <span>3</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/103704' target='_blank'>UniCal - Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie]</a><small> (Campus di Arcavacata via Pietro Bucci 87036 Arcavacata di Rende (CS) - Italie)</small> <label class='label label-primary label-VALID'>103704</label></div>"> UniCal - Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie] </a> <br> <span>4</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/300873' target='_blank'>Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL]</a><small> (59 Boulevard Pinel 69677 Bron cedex - France)</small> <label class='label label-primary label-VALID'>300873</label><ul><li><a href='/search/index/q/*/structId_i/300074' target='_blank'>HCL - Hospices Civils de Lyon</a><small> (3 Quai des Célestins 69002 Lyon - France)</small> <label class='label label-primary label-VALID'>300074</label></li></ul></div>"> Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL] </a> <br> <span>5</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/139739' target='_blank'>CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé</a><small> (7 avenue Jean Capelle, Bat Blaise Pascal, 69621 Villeurbanne Cedex - France)</small> <label class='label label-primary label-VALID'>139739</label><ul><li><a href='/search/index/q/*/structId_i/194495' target='_blank'>UCBL - Université Claude Bernard Lyon 1</a><small> (43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex - France)</small> <label class='label label-primary label-VALID'>194495</label><ul><li><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></li></ul></li><li><a href='/search/index/q/*/structId_i/219748' target='_blank'>INSA Lyon - Institut National des Sciences Appliquées de Lyon</a><small> (20 Avenue Albert Einstein, 69621 Villeurbanne cedex - France)</small> <label class='label label-primary label-VALID'>219748</label><ul><li><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></li><li><a href='/search/index/q/*/structId_i/301232' target='_blank'>INSA - Institut National des Sciences Appliquées</a><small> (France)</small> <label class='label label-primary label-VALID'>301232</label></li></ul></li><li><a href='/search/index/q/*/structId_i/300284' target='_blank'>UJM - Université Jean Monnet - Saint-Étienne</a><small> (10, Rue Tréfilerie – CS 82301 42023 Saint-Étienne Cedex 2 - France)</small> <label class='label label-primary label-VALID'>300284</label></li><li><a href='/search/index/q/*/structId_i/303623' target='_blank'>INSERM - Institut National de la Santé et de la Recherche Médicale</a> : U1206<small> (101, rue de Tolbiac, 75013 Paris - France)</small> <label class='label label-primary label-VALID'>303623</label></li><li><a href='/search/index/q/*/structId_i/441569' target='_blank'>CNRS - Centre National de la Recherche Scientifique</a> : UMR5220<small> (France)</small> <label class='label label-primary label-VALID'>441569</label></li></ul></div>"> CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé </a> <br> <span>6</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></div>"> Université de Lyon </a> <br> <span>7</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/219748' target='_blank'>INSA Lyon - Institut National des Sciences Appliquées de Lyon</a><small> (20 Avenue Albert Einstein, 69621 Villeurbanne cedex - France)</small> <label class='label label-primary label-VALID'>219748</label><ul><li><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></li><li><a href='/search/index/q/*/structId_i/301232' target='_blank'>INSA - Institut National des Sciences Appliquées</a><small> (France)</small> <label class='label label-primary label-VALID'>301232</label></li></ul></div>"> INSA Lyon - Institut National des Sciences Appliquées de Lyon </a> <br> <span>8</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/194495' target='_blank'>UCBL - Université Claude Bernard Lyon 1</a><small> (43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex - France)</small> <label class='label label-primary label-VALID'>194495</label><ul><li><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></li></ul></div>"> UCBL - Université Claude Bernard Lyon 1 </a> <br> <span>9</span> <a type="button" data-toggle="popover" class="btn-popover no-hide close-outside" data-container="body" data-placement="right" data-title="" data-content="<div class='popover-structure'><a href='/search/index/q/*/structId_i/5460' target='_blank'>CERMEP - imagerie du vivant - Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant</a><small> (59 bd Pinel, 69677 BRON cedex - France)</small> <label class='label label-primary label-VALID'>5460</label><ul><li><a href='/search/index/q/*/structId_i/51335' target='_blank'>CHU ST-E - Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne]</a><small> (42055 Saint Etienne cedex 2 - France)</small> <label class='label label-primary label-VALID'>51335</label></li><li><a href='/search/index/q/*/structId_i/194495' target='_blank'>UCBL - Université Claude Bernard Lyon 1</a><small> (43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex - France)</small> <label class='label label-primary label-VALID'>194495</label><ul><li><a href='/search/index/q/*/structId_i/301088' target='_blank'>Université de Lyon</a><small> (92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07 - France)</small> <label class='label label-primary label-VALID'>301088</label></li></ul></li><li><a href='/search/index/q/*/structId_i/257328' target='_blank'>CHUGA - Centre Hospitalier Universitaire [CHU Grenoble]</a><small> (CS 10217 38043 Grenoble cedex 9 - France)</small> <label class='label label-primary label-VALID'>257328</label></li><li><a href='/search/index/q/*/structId_i/300074' target='_blank'>HCL - Hospices Civils de Lyon</a><small> (3 Quai des Célestins 69002 Lyon - France)</small> <label class='label label-primary label-VALID'>300074</label></li><li><a href='/search/index/q/*/structId_i/300284' target='_blank'>UJM - Université Jean Monnet - Saint-Étienne</a><small> (10, Rue Tréfilerie – CS 82301 42023 Saint-Étienne Cedex 2 - France)</small> <label class='label label-primary label-VALID'>300284</label></li><li><a href='/search/index/q/*/structId_i/303623' target='_blank'>INSERM - Institut National de la Santé et de la Recherche Médicale</a><small> (101, rue de Tolbiac, 75013 Paris - France)</small> <label class='label label-primary label-VALID'>303623</label></li><li><a href='/search/index/q/*/structId_i/441569' target='_blank'>CNRS - Centre National de la Recherche Scientifique</a><small> (France)</small> <label class='label label-primary label-VALID'>441569</label></li><li><a href='/search/index/q/*/structId_i/1042703' target='_blank'>UGA - Université Grenoble Alpes</a><small> (Adresse CS 40700 - 38058 Grenoble cedex - France)</small> <label class='label label-primary label-VALID'>1042703</label></li></ul></div>"> CERMEP - imagerie du vivant - Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant </a> <br> </div> </div> </div> <div id="authors-detailed"> <div class="container"> <div class="row"> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authIdHal_i/1250368" target="_blank">B. Barile</a> <ul> <li>Fonction : <strong>Auteur</strong></li> <li>PersonId : <strong>1250368</strong></li> <li>ORCID : <strong><a href="https://orcid.org/0000-0002-4016-9172" title="ORCID" target="_blank">0000-0002-4016-9172</a></strong></li> <li>IdRef : <strong><a href="https://www.idref.fr/269395008" title="IdRef" target="_blank">269395008</a></strong></li> </ul> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/530749">RMN et optique : De la mesure au biomarqueur</a> </div> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> </div> </div> </div> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authFullName_s/P.+Ashtari" target="_blank">P. Ashtari</a> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> </div> </div> </div> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authFullName_s/C.+Stamile" target="_blank">C. Stamile</a> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> </div> </div> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authFullName_s/A.+Marzullo" target="_blank">A. Marzullo</a> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/103704">Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie]</a> </div> </div> </div> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authFullName_s/F.+Maes" target="_blank">F. Maes</a> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> </div> </div> </div> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authIdHal_s/francoise-durand-dubief" target="_blank">F. Durand-Dubief</a> <ul> <li>Fonction : <strong>Auteur</strong></li> <li>PersonId : <strong>172702</strong></li> <li>IdHAL : <a href="/search/index/q/*/authIdHal_s/francoise-durand-dubief" target="_blank" title="Consulter les publications"><strong>francoise-durand-dubief</strong></a></li> <li>ORCID : <strong><a href="https://orcid.org/0000-0002-2860-1700" title="ORCID" target="_blank">0000-0002-2860-1700</a></strong></li> <li>IdRef : <strong><a href="https://www.idref.fr/15778911X" title="IdRef" target="_blank">15778911X</a></strong></li> </ul> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/300873">Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL]</a> </div> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/530749">RMN et optique : De la mesure au biomarqueur</a> </div> </div> </div> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authFullName_s/S.+van+Huffel" target="_blank">S. van Huffel</a> <ul> <li>Fonction : <strong>Auteur</strong></li> </ul> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/300656">Catholic University of Leuven = Katholieke Universiteit Leuven</a> </div> </div> </div> <div class="col-lg-4"> <div class="bg-beige"> <a href="/search/index/q/*/authIdHal_s/dominique-sappey-marinier" target="_blank">D. Sappey-Marinier</a> <ul> <li>Fonction : <strong>Auteur</strong></li> <li>PersonId : <strong>170664</strong></li> <li>IdHAL : <a href="/search/index/q/*/authIdHal_s/dominique-sappey-marinier" target="_blank" title="Consulter les publications"><strong>dominique-sappey-marinier</strong></a></li> <li>ORCID : <strong><a href="https://orcid.org/0000-0003-4104-1514" title="ORCID" target="_blank">0000-0003-4104-1514</a></strong></li> <li>IdRef : <strong><a href="https://www.idref.fr/033214344" title="IdRef" target="_blank">033214344</a></strong></li> </ul> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/139739">Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé</a> </div> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/301088">Université de Lyon</a> </div> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/219748">Institut National des Sciences Appliquées de Lyon</a> </div> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/194495">Université Claude Bernard Lyon 1</a> </div> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/5460">Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant</a> </div> <div class='detailed-affil'> <span class='icon-institution hal-icon'></span> <a href="/search/index/q/*/structId_i/530749">RMN et optique : De la mesure au biomarqueur</a> </div> </div> </div> </div> </div> <button type="button" class="btn btn-hide-show" data-selectOne="#authors-simplified" data-selectTwo="#authors-detailed" style="margin-top: 22px;">Réduire la vue détaillée</button> </div> <div class="row" style="width: 102%;"> <div class="abstract col-lg-7"> <div> <h4> Résumé </h4> <div class="btn-group" role="group" aria-label="Choix langues"> <button class="btn btn-lang-abstract active" aria-pressed="true" data-lang="en"> en </button> </div> </div> <div class="abstract-content active" lang="en"> Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods. Materials and Methods: A dataset composed of 90 MS patients acquired at the MS clinic of Lyon Neurological Hospital was used for the analysis. Four MS profiles were considered, corresponding to Clinical Isolated Syndrome (CIS), Relapsing-Remitting MS (RRMS), Secondary Progressive MS (SPMS), and Primary Progressive MS (PPMS). Each patient was classified in one of these profiles by our neurologist and underwent longitudinal MRI examinations including T1-weighted image acquisition at each examination, from which the GM tissue was segmented and the cortical GM thickness measured. Following the GM parcellation using two different atlases (FSAverage and Glasser 2016), the morphological connectome was built and six global metrics (Betweenness Centrality (BC), Assortativity (r), Transitivity (T), Efficiency (E g ), Modularity (Q) and Density (D)) were extracted. Based on their connectivity metrics, MS profiles were first statistically compared and second, classified using four different learning machines (Logistic Regression, Random Forest, Support Vector Machine and AdaBoost), combined in a higher level ensemble model by majority voting. Finally, the impact of the GM spatial resolution on the MS clinical profiles classification was analyzed. Results: Using binary comparisons between the four MS clinical profiles, statistical differences and classification performances higher than 0.7 were observed. Good performances were obtained when comparing the two early clinical forms, RRMS and PPMS (F1 score of 0.86), and the two neurodegenerative profiles, PPMS and SPMS (F1 score of 0.72). When comparing the two atlases, slightly better performances were obtained with the Glasser 2016 atlas, especially between RRMS with PPMS (F1 score of 0.83), compared to the FSAverage atlas (F1 score of 0.69). Also, the thresholding value for graph binarization was investigated suggesting more informative graph properties in the percentile range between 0.6 and 0.8. Conclusion: An automated pipeline was proposed for the classification of MS clinical profiles using six global graph metrics extracted from the GM morphological connectome of MS patients. This work demonstrated that GM morphological connectivity data could provide good classification performances by combining four simple ML models, without the cost of long and complex MR techniques, such as MR diffusion, and/or deep learning architectures. </div> </div> <div class="col-lg-5"> <div class="keywords"> <div> <h4> Mots clés </h4> <div class="btn-group" role="group" aria-label="Choix langues" style="align-items: unset;"> <button class="btn btn-lang-keywords active" aria-pressed="true" data-lang="en"> en </button> </div> <div class="keys-lang en active" data-lang="en"> <a class="hal-bgtext" href="/search/index/q/*/keyword_t/artificial%20intelligence\textendashAI" target="_blank" rel="nofollow">artificial intelligence\textendashAI</a> <a class="hal-bgtext" href="/search/index/q/*/keyword_t/brain%20connectivity" target="_blank" rel="nofollow">brain connectivity</a> <a class="hal-bgtext" href="/search/index/q/*/keyword_t/grey%20matter" target="_blank" rel="nofollow">grey matter</a> <a class="hal-bgtext" href="/search/index/q/*/keyword_t/machine%20learning" target="_blank" rel="nofollow">machine learning</a> <a class="hal-bgtext" href="/search/index/q/*/keyword_t/multiple%20sclerosis" target="_blank" rel="nofollow">multiple sclerosis</a> </div> </div> </div> <div class="domains"> <h4> Domaines </h4> <a class="hal-bgtext" href="/search/index/q/*/level0_domain_s/sdv" rel="nofollow" target="_blank">Sciences du Vivant [q-bio]</a> <a class="hal-bgtext" href="/search/index/q/*/level1_domain_s/info.info-im" rel="nofollow" target="_blank">Imagerie médicale</a> </div> <button data-toggle="modal" data-docid="4807457" data-target="#metadatas_Modal" aria-expanded="false" aria-controls="metadatas_Modal" class="btn hal-option-button metadatas" style="margin-top: 48px; width: 100%;"> Liste complète des métadonnées </button> <div class="modal fade" id="metadatas_Modal" data-backdrop=true tabindex="-1" aria-labelledby="metadatas_ModalLabel" aria-hidden="true" role="dialog"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-body" id="metadata-body" style="padding: 0;"></div> </div> </div> </div> </div> </div> <div class="viewer panel-doc d-none d-sm-block"> <button data-toggle="collapse" data-docid="4807457" data-target="#viewer-detailed" aria-expanded="true" aria-controls="viewer-detailed" class="btn drop-down"> Fichiers et aperçu <span class="icon-drop_down hal-icon" aria-hidden="true"></span> </button> <div id="viewer-detailed" class="panel-doc-detailed collapse show"> <div class="row"> <div class="col-md-2"> <div id="list-thumbnail-viewer" style="text-align: center;"> <span class='file-major'>Fichier principal</span> <div class="position-relative thumbnail-viewer active" data-id="4188100" data-preview="https://hal.science/hal-04649403v1/preview/main.pdf#page=2"> <img alt="Vignette du fichier" src="//thumb.ccsd.cnrs.fr/9567538/medium" style="width: 100%;"> </div> <span> main.pdf (2.4 Mo) </span> <a href="https://hal.science/hal-04649403v1/file/main.pdf" download="main.pdf"><span class="icon-download" aria-hidden="true"></span><span class="sr-only">Télécharger le fichier</span> </a> </div> </div> <div class="col-md-9 pb-4"> <div class="viewer-content active" id="4188100"> <iframe src="https://hal.science/hal-04649403v1/preview/main.pdf#page=2" allowfullscreen webkitallowfullscreen></iframe> <table class="table table-borderless"> <tbody> <tr> <th scope="row">Origine</th> <td> Publication financée par une institution </td> </tr> </tbody> </table> </div> </div> </div> </div> </div> </div> <div class="submitted-date d-none d-sm-block"> <p> <a rel="nofollow" href="/search/index/q/*/contributorId_i/678681" target="_blank">Dominique Sappey-Marinier</a>  : <a href='javascript:void(0);' onclick="$('#form-login').submit();">Connectez-vous pour contacter le contributeur</a> </p> <p>https://hal.science/hal-04649403</p> <p>Soumis le : mercredi 27 novembre 2024-15:53:05</p> <p>Dernière modification le : jeudi 28 novembre 2024-09:52:30</p> </div> </section> <section class="col-12 col-md-3 order-sm-1"> <div class="section-content section-shadow hal-visualize-button widget-files"> <a href="https://hal.science/hal-04649403v1/document" target="_blank"> <div class="file d-flex align-items-center justify-content-center"> <i class="icon-download hal-icon mr-4" aria-hidden="true"></i> <span>Télécharger pour visualiser</span> </div> </a> </div> <div class="section-content section-shadow"> <h3> Dates et versions</h3> <div class="bg-beige versions pt-1 pb-1"> <span>hal-04649403 ,</span> <span><a href="https://hal.science/hal-04649403v1"> version 1</a></span> <span>(27-11-2024)</span> </div> <h3 style="margin-top: 10px;"> Identifiants</h3> <div class="identifier-list"> <ul> <li> <span> HAL Id : </span> <span> hal-04649403 , version 1 </span> </li> <li> <span> DOI : </span> <span> <a href="https://dx.doi.org/10.3389/frobt.2022.926255" target="_blank"> 10.3389/frobt.2022.926255 </a> </span> </li> <li> <span> PUBMED : </span> <span> <a href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=36313252" target="_blank"> 36313252 </a> </span> </li> <li> <span> PUBMEDCENTRAL : </span> <span> <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608344" target="_blank"> PMC9608344 </a> </span> </li> </ul> </div> </div> <div class="section-content section-shadow"> <div style="display: flex; justify-content: space-between; align-items: center;"> <h3> Citer</h3> <button id="citation-button" class="hal-option-button" style="padding: 6px 12px;"><span class="icon-copy"></span></button> </div> <div class="bg-beige p-2" id="citation"> B. Barile, P. Ashtari, C. Stamile, A. Marzullo, F. Maes, et al.. Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. <i>Frontiers in Robotics and AI</i>, 2022, 9, pp.926255. <a target="_blank" href="https://dx.doi.org/10.3389/frobt.2022.926255">⟨10.3389/frobt.2022.926255⟩</a>. <a target="_blank" href="https://hal.science/hal-04649403v1">⟨hal-04649403⟩</a> </div> </div> <div class="section-content section-shadow section-export"> <h3> Exporter</h3> <a class="hal-bgtext size-regular" href="https://hal.science/hal-04649403v1/bibtex" target="_blank" style="white-space: nowrap;">BibTeX</a> <a class="hal-bgtext size-regular" href="https://hal.science/hal-04649403v1/tei" target="_blank" style="white-space: nowrap;">XML-TEI</a> <a class="hal-bgtext size-regular" href="https://hal.science/hal-04649403v1/dc" target="_blank" style="white-space: nowrap;">Dublin Core</a> <a class="hal-bgtext size-regular" href="https://hal.science/hal-04649403v1/dcterms" target="_blank" style="white-space: nowrap;">DC Terms</a> <a class="hal-bgtext size-regular" href="https://hal.science/hal-04649403v1/endnote" target="_blank" style="white-space: nowrap;">EndNote</a> <a class="hal-bgtext size-regular" href="https://hal.science/hal-04649403v1/datacite" target="_blank" style="white-space: nowrap;">DataCite</a> </div> <div class="section-content section-shadow section-collection"> <h3> Collections</h3> <div> <a class="hal-bgtext size-regular" href="/UNIV-ST-ETIENNE" target="_blank"> UNIV-ST-ETIENNE</a> <a class="hal-bgtext size-regular" href="/HCL" target="_blank"> HCL</a> <a class="hal-bgtext size-regular" href="/UGA" target="_blank"> UGA</a> <a class="hal-bgtext size-regular" href="/CNRS" target="_blank"> CNRS</a> <a class="hal-bgtext size-regular" href="/UNIV-LYON1" target="_blank"> UNIV-LYON1</a> <a class="hal-bgtext size-regular" href="/INSA-LYON" target="_blank"> INSA-LYON</a> <a class="hal-bgtext size-regular" href="/CREATIS" target="_blank"> CREATIS</a> <a class="hal-bgtext size-regular" href="/INSA-GROUPE" target="_blank"> INSA-GROUPE</a> <a class="hal-bgtext size-regular" href="/UDL" target="_blank"> UDL</a> <a class="hal-bgtext size-regular" href="/ANR" target="_blank"> ANR</a> </div> </div> <div class="section-content section-shadow" id="metrics"> <div class="row"> <div class="metrics-views col-6"> <span> 17 </span> <span>Consultations</span> </div> <div class="metrics-views col-6"> <span> 0 </span> <span>Téléchargements</span> </div> </div> </div> <div class="section-content section-shadow section-collection"> <h3> Altmetric</h3> <script src="https://d1bxh8uas1mnw7.cloudfront.net/assets/embed.js"></script> <div data-badge-details="right" data-badge-type="donut" data-hide-no-mentions="false" class="altmetric-embed" data-doi="10.3389/frobt.2022.926255" ></div> </div> <div class="section-content section-shadow"> <h3> Partager</h3>   <div class="a2a_kit a2a_kit_size_32 a2a_default_style" > <a class="a2a_button_google_gmail"></a><span class="sr-only"> </span> <a class="a2a_button_mastodon"></a><span class="sr-only"> </span> <a class="a2a_button_facebook"></a><span class="sr-only"> </span> <a class="a2a_button_x"></a><span class="sr-only"> </span> <a class="a2a_button_linkedin"></a><span class="sr-only"> </span> <a class="a2a_dd" href="https://www.addtoany.com/share"></a><span class="sr-only"> More </span> </div>  <script async src="https://static.addtoany.com/menu/page.js"></script>  </div> </section> </section> <script type="text/javascript"> $(function () { linkifyElem ('.linkify'); 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Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome - Archive ouverte HAL