Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+Individuals

doi:10.1093/cercor/bhaa127

	Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+Individuals
	Luo, Na 1,2,22; Sui, Jing 1,2,3,22; Abrol, Anees 4,5; Chen, Jiayu 4,5; Turner, Jessica A.6; Damaraju, Eswar 4,5; Fu, Zening 4,5; Fan, Lingzhong 1,2,22; Lin, Dongdong 4,5; Zhuo, Chuanjun 7,21
刊名	CEREBRAL CORTEX
	2020-10-01
卷号	30 期号:10 页码:5460-5470
关键词	intrinsic brain networks independent component analysis (ICA) structure-function coherence unimodal cortex heteromodal association cortex
ISSN号	1047-3211
DOI	10.1093/cercor/bhaa127
通讯作者	Sui, Jing(kittysj@gmail.com) ; Calhoun, Vince D.(vcalhoun@gsu.edu)
英文摘要	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.
资助项目	National Institutes of Health[2R01EB005846] ; National Institutes of Health[P20GM103472] ; National Institutes of Health[R01REB020407] ; National Institutes of Health[R01MH117107] ; National Science Foundation[1539067] ; Natural Science Foundation of China[61773380] ; Natural Science Foundation of China[81871052] ; Natural Science Foundation of China[81801679] ; Natural Science Foundation of China[81571319] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32040100] ; Brain Science and Brain-Inspired Technology Plan of Beijing City[Z181100001518005] ; Key Projects of the Natural Science Foundation of Tianjin, China[17JCZDJC35700] ; National Key Research and Development Program of China[2016YFC1307004]
WOS关键词	CONNECTIVITY ARCHITECTURE ; PATTERNS ; CORTEX ; MORPHOMETRY ; COVARIANCE ; MATTER
WOS研究方向	Neurosciences & Neurology
语种	英语
出版者	OXFORD UNIV PRESS INC
WOS记录号	WOS:000580998000022
资助机构	National Institutes of Health ; National Science Foundation ; Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Brain Science and Brain-Inspired Technology Plan of Beijing City ; Key Projects of the Natural Science Foundation of Tianjin, China ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42116]
专题	自动化研究所_脑网络组研究中心
通讯作者	Sui, Jing; Calhoun, Vince D.
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing 100190, Peoples R China 4.Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia Inst Technol, Atlanta, GA 30303 USA 5.Emory Univ, Atlanta, GA 30303 USA 6.Georgia State Univ, Dept Psychol, Neurosci Inst, Univ Plaza, Atlanta, GA 30303 USA 7.Nankai Univ, Tianjin Mental Hlth Ctr, Morbid Lab PNGC Lab, Affiliated Anding Hosp, Tianjin 300222, Peoples R China 8.Shanxi Med Univ, Dept Psychiat, Clin Med Coll 1, Hosp 1, Taiyuan 030000, Peoples R China 9.Boston Childrens Hosp, Dept Psychiat, Boston, MA 02115 USA 10.Harvard Med Sch, Boston, MA 02115 USA
推荐引用方式 GB/T 7714	Luo, Na,Sui, Jing,Abrol, Anees,et al. Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+Individuals[J]. CEREBRAL CORTEX,2020,30(10):5460-5470.
APA	Luo, Na.,Sui, Jing.,Abrol, Anees.,Chen, Jiayu.,Turner, Jessica A..,...&Calhoun, Vince D..(2020).Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+Individuals.CEREBRAL CORTEX,30(10),5460-5470.
MLA	Luo, Na,et al."Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+Individuals".CEREBRAL CORTEX 30.10(2020):5460-5470.