TY - JOUR
T1 - Structural brain architectures match intrinsic functional networks and vary across domains
T2 - A study from 15 000+ individuals
AU - Luo, Na
AU - Sui, Jing
AU - Abrol, Anees
AU - Chen, Jiayu
AU - Turner, Jessica A.
AU - Damaraju, Eswar
AU - Fu, Zening
AU - Fan, Lingzhong
AU - Lin, Dongdong
AU - Zhuo, Chuanjun
AU - Xu, Yong
AU - Glahn, David C.
AU - Rodrigue, Amanda L.
AU - Banich, Marie T.
AU - Pearlson, Godfrey D.
AU - Calhoun, Vince D.
N1 - Publisher Copyright:
© The Author(s) 2020. Published by Oxford University Press. All rights reserved.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - 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 nine 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 changes compared with unimodal cortex, which may lead to higher interindividual variability and lower S-F coherence.
AB - 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 nine 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 changes compared with unimodal cortex, which may lead to higher interindividual variability and lower S-F coherence.
KW - Heteromodal association cortex
KW - Independent component analysis (ICA)
KW - Intrinsic brain networks
KW - Structure-function coherence
KW - Unimodal cortex
UR - http://www.scopus.com/inward/record.url?scp=85090491806&partnerID=8YFLogxK
U2 - 10.1093/cercor/bhaa127
DO - 10.1093/cercor/bhaa127
M3 - Article
C2 - 32488253
AN - SCOPUS:85090491806
SN - 1047-3211
VL - 30
SP - 5460
EP - 5470
JO - Cerebral Cortex
JF - Cerebral Cortex
IS - 10
ER -