CASIA OpenIR
Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+Individuals
Luo, Na1,2,3; Sui, Jing1,2,3,4; Abrol, Anees5,6; Chen, Jiayu5,6; Turner, Jessica A.7; Damaraju, Eswar5,6; Fu, Zening5,6; Fan, Lingzhong1,2,3; Lin, Dongdong5,6; Zhuo, Chuanjun8,9; Xu, Yong10; Glahn, David C.11,12; Rodrigue, Amanda L.11,12; Banich, Marie T.13,14; Pearlson, Godfrey D.15,16,17; Calhoun, Vince D.5,6,18,19,20,21,22
Source PublicationCEREBRAL CORTEX
ISSN1047-3211
2020-10-01
Volume30Issue:10Pages:5460-5470
Corresponding AuthorSui, Jing(kittysj@gmail.com) ; Calhoun, Vince D.(vcalhoun@gsu.edu)
AbstractBrain 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.
Keywordintrinsic brain networks independent component analysis (ICA) structure-function coherence unimodal cortex heteromodal association cortex
DOI10.1093/cercor/bhaa127
WOS KeywordCONNECTIVITY ARCHITECTURE ; PATTERNS ; CORTEX ; MORPHOMETRY ; COVARIANCE ; MATTER
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000580998000022
PublisherOXFORD UNIV PRESS INC
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/42117
Collection中国科学院自动化研究所
Corresponding AuthorSui, Jing; Calhoun, Vince D.
Affiliation1.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing 100190, Peoples R China
5.Georgia State Univ, Triinst Ctr Translat Res Neuroimaging & Data Sci, Georgia Inst Technol, Atlanta, GA 30303 USA
6.Emory Univ, Atlanta, GA 30303 USA
7.Georgia State Univ, Dept Psychol, Neurosci Inst, Univ Plaza, Atlanta, GA 30303 USA
8.Nankai Univ, Tianjin Mental Hlth Ctr, Dept Psychiat Neuroimaging Genet, Affiliated Anding Hosp, Tianjin 300222, Peoples R China
9.Nankai Univ, Tianjin Mental Hlth Ctr, Morbid Lab PNGC Lab, Affiliated Anding Hosp, Tianjin 300222, Peoples R China
10.Shanxi Med Univ, Dept Psychiat, Clin Med Coll 1, Hosp 1, Taiyuan 030000, Peoples R China
11.Boston Childrens Hosp, Dept Psychiat, Boston, MA 02115 USA
12.Harvard Med Sch, Boston, MA 02115 USA
13.Univ Colorado, Dept Psychol & Neurosci, Boulder, CO 80309 USA
14.Univ Colorado, Inst Cognit Sci, Boulder, CO 80309 USA
15.Hartford Hosp, Olin Neuropsychiat Res Ctr, Inst Living, Hartford, CT 06114 USA
16.Yale Univ, Dept Psychiat, Sch Med, New Haven, CT 06511 USA
17.Yale Univ, Dept Neurosci, Sch Med, New Haven, CT 06519 USA
18.Georgia State Univ, Dept Psychol, Atlanta, GA 30302 USA
19.Georgia State Univ, Dept Comp Sci, Atlanta, GA 30302 USA
20.Georgia State Univ, Dept Neurosci Inst, Atlanta, GA 30302 USA
21.Georgia State Univ, Dept Phys, Atlanta, GA 30302 USA
22.Georgia Inst Technol, Dept Elect & Comp Engn, Atlanta, GA 30332 USA
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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