Default-mode network streams for coupling to language and control systems.
Default network
brain networks
fMRI
functional connectivity
individual variability
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
21 07 2020
21 07 2020
Historique:
pubmed:
8
7
2020
medline:
15
9
2020
entrez:
8
7
2020
Statut:
ppublish
Résumé
The human brain is organized into large-scale networks identifiable using resting-state functional connectivity (RSFC). These functional networks correspond with broad cognitive domains; for example, the Default-mode network (DMN) is engaged during internally oriented cognition. However, functional networks may contain hierarchical substructures corresponding with more specific cognitive functions. Here, we used individual-specific precision RSFC to test whether network substructures could be identified in 10 healthy human brains. Across all subjects and networks, individualized network subdivisions were more valid-more internally homogeneous and better matching spatial patterns of task activation-than canonical networks. These measures of validity were maximized at a hierarchical scale that contained ∼83 subnetworks across the brain. At this scale, nine DMN subnetworks exhibited topographical similarity across subjects, suggesting that this approach identifies homologous neurobiological circuits across individuals. Some DMN subnetworks matched known features of brain organization corresponding with cognitive functions. Other subnetworks represented separate streams by which DMN couples with other canonical large-scale networks, including language and control networks. Together, this work provides a detailed organizational framework for studying the DMN in individual humans.
Identifiants
pubmed: 32632019
pii: 2005238117
doi: 10.1073/pnas.2005238117
pmc: PMC7382234
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
17308-17319Subventions
Organisme : CSRD VA
ID : IK2 CX001680
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS088590
Pays : United States
Organisme : NIMH NIH HHS
ID : T32 MH100019
Pays : United States
Organisme : NINDS NIH HHS
ID : P30 NS098577
Pays : United States
Organisme : NIMH NIH HHS
ID : R25 MH112473
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000448
Pays : United States
Organisme : NINDS NIH HHS
ID : F31 NS110332
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002345
Pays : United States
Organisme : NIMH NIH HHS
ID : K01 MH104592
Pays : United States
Organisme : NIMH NIH HHS
ID : K99 MH121518
Pays : United States
Déclaration de conflit d'intérêts
Competing interest statement: N.U.F.D. is cofounder of Nous Imaging.
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