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| 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
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| Source Publication | CEREBRAL CORTEX
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| ISSN | 1047-3211 |
| 2020-10-01 | |
| Volume | 30Issue:10Pages:5460-5470 |
| Corresponding Author | Sui, Jing(kittysj@gmail.com) ; Calhoun, Vince D.(vcalhoun@gsu.edu) |
| 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. |
| Keyword | intrinsic brain networks independent component analysis (ICA) structure-function coherence unimodal cortex heteromodal association cortex |
| DOI | 10.1093/cercor/bhaa127 |
| WOS Keyword | CONNECTIVITY ARCHITECTURE ; PATTERNS ; CORTEX ; MORPHOMETRY ; COVARIANCE ; MATTER |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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] |
| Funding Organization | 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 |
| WOS Research Area | Neurosciences & Neurology |
| WOS Subject | Neurosciences |
| WOS ID | WOS:000580998000022 |
| Publisher | OXFORD UNIV PRESS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/42117 |
| Collection | 中国科学院自动化研究所 |
| Corresponding Author | Sui, Jing; Calhoun, Vince D. |
| Affiliation | 1.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 Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Corresponding Author Affilication | Chinese 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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