TY  - JOUR
A1  - Hilger, Kirsten
A1  - Fukushima, Makoto
A1  - Sporns, Olaf
A1  - Fiebach, Christian
T1  - Temporal stability of functional brain modules associated with human intelligence
T2  - Human brain mapping
N2  - 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.
KW  - dynamic networks
KW  - graph theory
KW  - intelligence
KW  - modularity
KW  - resting-state fMRI
Y1  - 2019
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/63809
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-638097
SN  - 1097-0193
N1  - The research leading to these results has received funding from the German Research Foundation (grant FI848/6-1) and from the Initia- tive for the Development of Scientific and Economic Excellence of the state of Hessen (LOEWE Center for Individual Development and Adaptive Education). C. J. Fiebach was furthermore supported by the European Community's Seventh Framework Programme (FP7/2013) under grant agreement no. 617891. O. Sporns acknowledges funding support by the National Institutes of Health (R01 AT009036-01). Data were provided by the Nathan S. Kline Institute for Psychiatric Research, founded and operated by the New York State Office of Mental Health.
VL  - 41
IS  - 2
SP  - 362
EP  - 372
PB  - Wiley-Liss
CY  - New York, NY
ER  -