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

By Na Luo, Jing Sui, Anees Abrol, Jessica A. Turner, Eswar Damaraju, Zening Fu, Lingzhong Fan, Jiayu Chen, Dongdong Lin, Chuanjun Zhuo, Yong Xu, David C Glahn, Amanda L. Rodrigue, Marie T Banich, Godfrey D Pearlson, V. D. Calhoun

Posted 19 Dec 2019
bioRxiv DOI: 10.1101/2019.12.17.879502

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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