| Title: | Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+ Individuals |
| Journal: | Cerebral Cortex |
| Published: | 3 Jun 2020 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/32488253/ |
| DOI: | https://doi.org/10.1093/cercor/bhaa127 |
| URL: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566687 |
| Citations: | 35 (20 in last 2 years) as of 8 Aug 2024 |
Publication 5780
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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 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.</p>
10 Keywords
- Adult
- Aged
- Brain
- Brain Mapping
- Female
- Humans
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Neural Pathways
16 Authors
- Na Luo
- Jing Sui
- Anees Abrol
- Jiayu Chen
- Jessica A Turner
- Eswar Damaraju
- Zening Fu
- Lingzhong Fan
- Dongdong Lin
- Chuanjun Zhuo
- Yong Xu
- David C Glahn
- Amanda L Rodrigue
- Marie T Banich
- Godfrey D Pearlson
- Vince D Calhoun
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