The hidden community architecture of human brain networks

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dc.contributor.authorLee, Byeongwookko
dc.contributor.authorKang, Uiryongko
dc.contributor.authorChang, Hongjunko
dc.contributor.authorCho, Kwang-Hyunko
dc.date.accessioned2022-06-21T11:01:20Z-
dc.date.available2022-06-21T11:01:20Z-
dc.date.created2022-06-21-
dc.date.created2022-06-21-
dc.date.created2022-06-21-
dc.date.created2022-06-21-
dc.date.issued2022-03-
dc.identifier.citationSCIENTIFIC REPORTS, v.12, no.1-
dc.identifier.issn2045-2322-
dc.identifier.urihttp://hdl.handle.net/10203/297039-
dc.description.abstractThe organizational principles of the community architecture of human brain networks are still mostly unknown. Here, we found that brain networks have a moderate degree of community segregation but are specifically organized to achieve high community overlap while maintaining their segregated community structures. These properties are distinct from other real-world complex networks. Additionally, we found that human subjects with a higher degree of community overlap in their brain networks show greater dynamic reconfiguration and cognitive flexibility.-
dc.languageEnglish-
dc.publisherNATURE RESEARCH-
dc.titleThe hidden community architecture of human brain networks-
dc.typeArticle-
dc.identifier.wosid000838718500027-
dc.identifier.scopusid2-s2.0-85125688465-
dc.type.rimsART-
dc.citation.volume12-
dc.citation.issue1-
dc.citation.publicationnameSCIENTIFIC REPORTS-
dc.identifier.doi10.1038/s41598-022-07570-0-
dc.contributor.localauthorCho, Kwang-Hyun-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordPlusTRACTOGRAPHY-
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BiS-Journal Papers(저널논문)
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