Cited 1334 times in
Structural and Functional Brain Networks: From Connections to Cognition
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박해정 | - |
dc.date.accessioned | 2014-12-18T09:52:21Z | - |
dc.date.available | 2014-12-18T09:52:21Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0036-8075 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/88987 | - |
dc.description.abstract | How rich functionality emerges from the invariant structural architecture of the brain remains a major mystery in neuroscience. Recent applications of network theory and theoretical neuroscience to large-scale brain networks have started to dissolve this mystery. Network analyses suggest that hierarchical modular brain networks are particularly suited to facilitate local (segregated) neuronal operations and the global integration of segregated functions. Although functional networks are constrained by structural connections, context-sensitive integration during cognition tasks necessarily entails a divergence between structural and functional networks. This degenerate (many-to-one) function-structure mapping is crucial for understanding the nature of brain networks. The emergence of dynamic functional networks from static structural connections calls for a formal (computational) approach to neuronal information processing that may resolve this dialectic between structure and function. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | SCIENCE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Brain/physiology* | - |
dc.subject.MESH | Brain/ultrastructure* | - |
dc.subject.MESH | Cognition/physiology* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Models, Neurological* | - |
dc.subject.MESH | Nerve Net/physiology* | - |
dc.subject.MESH | Nerve Net/ultrastructure* | - |
dc.title | Structural and Functional Brain Networks: From Connections to Cognition | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Nuclear Medicine (핵의학) | - |
dc.contributor.googleauthor | Hae-Jeong Park | - |
dc.contributor.googleauthor | Karl Friston | - |
dc.identifier.doi | 10.1126/science.1238411 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01730 | - |
dc.relation.journalcode | J02642 | - |
dc.identifier.eissn | 1095-9203 | - |
dc.identifier.pmid | 24179229 | - |
dc.identifier.url | http://www.sciencemag.org/content/342/6158/1238411.long | - |
dc.subject.keyword | Brain/physiology* | - |
dc.subject.keyword | Brain/ultrastructure* | - |
dc.subject.keyword | Cognition/physiology* | - |
dc.subject.keyword | Humans | - |
dc.subject.keyword | Models, Neurological* | - |
dc.subject.keyword | Nerve Net/physiology* | - |
dc.subject.keyword | Nerve Net/ultrastructure* | - |
dc.contributor.alternativeName | Park, Hae Jeong | - |
dc.contributor.affiliatedAuthor | Park, Hae Jeong | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 342 | - |
dc.citation.number | 6158 | - |
dc.citation.startPage | 1 | - |
dc.citation.startPage | -1 | - |
dc.citation.endPage | 8 | - |
dc.citation.endPage | -1 | - |
dc.identifier.bibliographicCitation | SCIENCE, Vol.342(6158) : 1-8, 2013 | - |
dc.identifier.rimsid | 33725 | - |
dc.type.rims | ART | - |
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