DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Byeongwook | ko |
dc.contributor.author | Kang, Uiryong | ko |
dc.contributor.author | Chang, Hongjun | ko |
dc.contributor.author | Cho, Kwang-Hyun | ko |
dc.date.accessioned | 2022-06-21T11:01:20Z | - |
dc.date.available | 2022-06-21T11:01:20Z | - |
dc.date.created | 2022-06-21 | - |
dc.date.created | 2022-06-21 | - |
dc.date.created | 2022-06-21 | - |
dc.date.created | 2022-06-21 | - |
dc.date.issued | 2022-03 | - |
dc.identifier.citation | SCIENTIFIC REPORTS, v.12, no.1 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | http://hdl.handle.net/10203/297039 | - |
dc.description.abstract | The 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.language | English | - |
dc.publisher | NATURE RESEARCH | - |
dc.title | The hidden community architecture of human brain networks | - |
dc.type | Article | - |
dc.identifier.wosid | 000838718500027 | - |
dc.identifier.scopusid | 2-s2.0-85125688465 | - |
dc.type.rims | ART | - |
dc.citation.volume | 12 | - |
dc.citation.issue | 1 | - |
dc.citation.publicationname | SCIENTIFIC REPORTS | - |
dc.identifier.doi | 10.1038/s41598-022-07570-0 | - |
dc.contributor.localauthor | Cho, Kwang-Hyun | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | TRACTOGRAPHY | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.