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Structural brain architectures match intrinsic functional networks and vary across domains: A study from 15000+ individuals

Published on Dec 19, 2019in bioRxiv
· DOI :10.1101/2019.12.17.879502
Na Luo2
Estimated H-index: 2
(CAS: Chinese Academy of Sciences),
Jing Sui31
Estimated H-index: 31
(CAS: Chinese Academy of Sciences)
+ 13 AuthorsVince D. Calhoun2
Estimated H-index: 2
(Georgia Institute of Technology)
Abstract
Brain structural networks have been shown to consistently organize in functionally meaningful architectures covering the entire brain. However, to what extent brain structural architectures match the intrinsic functional networks in different functional domains remains under explored. In this study, based on independent component analysis, we revealed 45 pairs of structural-functional (S-F) component maps, distributing across 9 functional domains, in both a discovery cohort (n=6005) and a replication cohort (UK Biobank, n=9214), providing a well-match multimodal spatial map template for public use. Further network module analysis suggested that unimodal cortical areas (e.g. somatomotor and visual networks) indicate higher S-F coherence, while heteromodal association cortices, especially the frontoparietal network (FPN), exhibit more S-F divergence. Collectively, these results suggest that the expanding and maturing brain association cortex demonstrates a higher degree of change compared to unimodal cortex, which may lead to higher inter-individual variability and lower S-F coherence.
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