{"id":"https://openalex.org/W3160814196","doi":"https://doi.org/10.1109/tcds.2021.3081605","title":"Diagnosis of Multiple Sclerosis Using Graph-Theoretic Measures of Cognitive-Task-Based Functional Connectivity Networks","display_name":"Diagnosis of Multiple Sclerosis Using Graph-Theoretic Measures of Cognitive-Task-Based Functional Connectivity Networks","publication_year":2021,"publication_date":"2021-05-18","ids":{"openalex":"https://openalex.org/W3160814196","doi":"https://doi.org/10.1109/tcds.2021.3081605","mag":"3160814196"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2021.3081605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3081605","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043265488","display_name":"Seyedeh Naghmeh Miri Ashtiani","orcid":"https://orcid.org/0000-0002-8245-0245"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Seyedeh Naghmeh Miri Ashtiani","raw_affiliation_strings":["Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013520442","display_name":"Hamid Behnam","orcid":"https://orcid.org/0000-0002-1698-5284"},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamid Behnam","raw_affiliation_strings":["Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086383664","display_name":"Mohammad Reza Daliri","orcid":"https://orcid.org/0000-0001-9241-8751"},"institutions":[{"id":"https://openalex.org/I4210146419","display_name":"Institute for Research in Fundamental Sciences","ror":"https://ror.org/04xreqs31","country_code":"IR","type":"facility","lineage":["https://openalex.org/I4210146419"]},{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Reza Daliri","raw_affiliation_strings":["Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran","School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]},{"raw_affiliation_string":"School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran","institution_ids":["https://openalex.org/I4210146419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043265488"],"corresponding_institution_ids":["https://openalex.org/I67009956"],"apc_list":null,"apc_paid":null,"fwci":1.0488,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73520478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"14","issue":"3","first_page":"926","last_page":"934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/betweenness-centrality","display_name":"Betweenness centrality","score":0.7949824333190918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6945675611495972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5834965705871582},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5461077690124512},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5375527739524841},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.508232831954956},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4957050085067749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49354445934295654},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.47129976749420166},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46826794743537903},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46264564990997314},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4397774338722229},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.43267732858657837},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4047962427139282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17930322885513306},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17705896496772766},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.17616888880729675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10898181796073914}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.7949824333190918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6945675611495972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834965705871582},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5461077690124512},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5375527739524841},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.508232831954956},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4957050085067749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49354445934295654},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.47129976749420166},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46826794743537903},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46264564990997314},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4397774338722229},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.43267732858657837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4047962427139282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17930322885513306},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17705896496772766},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.17616888880729675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10898181796073914},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2021.3081605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2021.3081605","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1721214611","https://openalex.org/W1937817990","https://openalex.org/W1965406039","https://openalex.org/W1978689156","https://openalex.org/W1990385855","https://openalex.org/W1995708743","https://openalex.org/W2007039644","https://openalex.org/W2016170913","https://openalex.org/W2028645759","https://openalex.org/W2038818850","https://openalex.org/W2058046532","https://openalex.org/W2060129459","https://openalex.org/W2062571913","https://openalex.org/W2075712714","https://openalex.org/W2082939835","https://openalex.org/W2087634319","https://openalex.org/W2089458547","https://openalex.org/W2135272309","https://openalex.org/W2139104449","https://openalex.org/W2146739527","https://openalex.org/W2152550750","https://openalex.org/W2153635508","https://openalex.org/W2159929956","https://openalex.org/W2160267952","https://openalex.org/W2161515775","https://openalex.org/W2165687585","https://openalex.org/W2167822639","https://openalex.org/W2171707538","https://openalex.org/W2595557058","https://openalex.org/W2606285249","https://openalex.org/W2765750430","https://openalex.org/W2766388010","https://openalex.org/W2795254267","https://openalex.org/W2796117273","https://openalex.org/W2845234326","https://openalex.org/W2883681303","https://openalex.org/W2891365588","https://openalex.org/W2901262261","https://openalex.org/W2970633074","https://openalex.org/W4206686222","https://openalex.org/W6680366265","https://openalex.org/W6681414641"],"related_works":["https://openalex.org/W1973509935","https://openalex.org/W2107855069","https://openalex.org/W2611574733","https://openalex.org/W2241641394","https://openalex.org/W2140653560","https://openalex.org/W2348831795","https://openalex.org/W4312461432","https://openalex.org/W2965490984","https://openalex.org/W3077030258","https://openalex.org/W4387537233"],"abstract_inverted_index":{"Graph":[0],"theory":[1],"allows":[2],"us":[3],"to":[4,56,64,106,177],"gain":[5],"better":[6],"insight":[7],"concerning":[8],"changes":[9,180],"in":[10,18,123,181],"brain":[11,59],"functional":[12,40,45],"architecture":[13],"associated":[14],"with":[15,163],"cognitive":[16,179],"impairments":[17],"the":[19,27,58,66,70,83,92,97,124,138,158,171,174],"early":[20,182],"stages":[21],"of":[22,87,135,140,160,166,173],"multiple":[23],"sclerosis":[24],"(MS).":[25],"In":[26],"present":[28],"study,":[29],"we":[30],"employed":[31,105],"a":[32,53,164],"machine-learning":[33],"system":[34,176],"based":[35],"on":[36],"graph":[37,74],"measures":[38],"from":[39],"networks":[41],"constructed":[42],"by":[43],"cognitive-task-related":[44],"magnetic":[46],"resonance":[47],"imaging":[48],"(fMRI)":[49],"data.":[50],"We":[51],"used":[52],"predefined":[54],"atlas":[55],"define":[57],"regions":[60,131],"and":[61,96,110,119,128,149,152],"Pearson\u2019s":[62],"correlation":[63],"describe":[65],"connectivity":[67],"strength":[68],"between":[69,108],"regions.":[71],"Then,":[72],"several":[73],"metrics":[75],"were":[76,89],"extracted":[77],"for":[78,184],"each":[79],"subject.":[80],"After":[81],"that,":[82],"most":[84],"efficient":[85],"subsets":[86],"features":[88],"selected":[90],"through":[91,137],"Wilcoxon":[93],"rank-sum":[94],"test,":[95],"linear":[98],"support":[99],"vector":[100],"machine":[101],"(SVM)":[102],"classifier":[103],"was":[104],"distinguish":[107],"MS":[109,161,183],"healthy":[111],"subjects.":[112],"The":[113],"node":[114],"degree,":[115],"subgraph":[116],"centrality,":[117],"K-coreness,":[118],"PageRank":[120],"centralities":[121],"measured":[122],"left":[125],"fusiform,":[126],"hippocampus,":[127],"parahippocampal":[129],"gyri":[130],"demonstrated":[132],"an":[133],"accuracy":[134],"85%":[136],"combination":[139],"all":[141],"local":[142],"measures.":[143],"Two":[144],"optimal":[145],"global":[146],"measures,":[147],"modularity":[148],"small-worldness":[150],"index,":[151],"individual":[153],"betweenness":[154],"centrality":[155],"feature":[156],"improved":[157],"identification":[159],"patients":[162],"sensitivity":[165],"81.25%.":[167],"Our":[168],"results":[169],"indicated":[170],"potential":[172],"proposed":[175],"identify":[178],"diagnostic":[185],"purposes.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}