Temporal stability of functional brain modules associated with human intelligence.

Abstract:

: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.

journal_name

Hum Brain Mapp

journal_title

Human brain mapping

authors

Hilger K,Fukushima M,Sporns O,Fiebach CJ

doi

10.1002/hbm.24807

subject

Has Abstract

pub_date

2020-02-01 00:00:00

pages

362-372

issue

2

eissn

1065-9471

issn

1097-0193

journal_volume

41

pub_type

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