Temporal stability of functional brain modules associated with human intelligence.
dynamic networks
graph theory
intelligence
modularity
resting-state fMRI
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 02 2020
01 02 2020
Historique:
received:
17
06
2019
revised:
15
08
2019
accepted:
16
09
2019
pubmed:
7
10
2019
medline:
13
7
2021
entrez:
7
10
2019
Statut:
ppublish
Résumé
Individual differences in general cognitive ability (i.e., intelligence) have been linked to individual variations in the modular organization of functional brain networks. However, these analyses have been limited to static (time-averaged) connectivity, and have not yet addressed whether dynamic changes in the configuration of brain networks relate to general intelligence. Here, we used multiband functional MRI resting-state data (N = 281) and estimated subject-specific time-varying functional connectivity networks. Modularity optimization was applied to determine individual time-variant module partitions and to assess fluctuations in modularity across time. We show that higher intelligence, indexed by an established composite measure, the Wechsler Abbreviated Scale of Intelligence (WASI), is associated with higher temporal stability (lower temporal variability) of brain network modularity. Post-hoc analyses reveal that subjects with higher intelligence scores engage in fewer periods of extremely high modularity - which are characterized by greater disconnection of task-positive from task-negative networks. Further, we show that brain regions of the dorsal attention network contribute most to the observed effect. In sum, our study suggests that investigating the temporal dynamics of functional brain network topology contributes to our understanding of the neural bases of general cognitive abilities.
Identifiants
pubmed: 31587450
doi: 10.1002/hbm.24807
pmc: PMC7267930
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
362-372Subventions
Organisme : NCCIH NIH HHS
ID : R01 AT009036
Pays : United States
Informations de copyright
© 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
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