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Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain
Yang, Zhi1,2,3; Zuo, Xi-Nian1,2; McMahon, Katie L.4; Craddock, R. Cameron5,6; Kelly, Clare7; de Zubicaray, Greig I.8; Hickie, Ian9; Bandettini, Peter A.3; Castellanos, F. Xavier7; Milham, Michael P.5,6; Wright, Margaret J.10
AbstractOne of the grand challenges faced by neuroscience is to delineate the determinants of interindividual variation in the comprehensive structural and functional connection matrices that comprise the human connectome. At present, this endeavor appears most tractable at the macroanatomic scale, where intrinsic brain activity exhibits robust patterns of synchrony that recapitulate core functional circuits at the individual level. Here, we use a classical twin study design to examine the heritability of intrinsic functional network properties in 101 twin pairs, including network activity (i.e., variance of a network's specific temporal fluctuations) and internetwork coherence (i.e., correlation between networks' specific temporal fluctuations). Five of 7 networks exhibited significantly heritable (23.3-65.2%) network activity, 6 of the 21 internetwork coherences were significantly heritable (25.6-42.0%), and 11 of the 21 internetwork coherences were significantly influenced by common environmental factors (18.0-47.1%). These results suggest that the source of interindividual variation in functional connectome has a modular architecture: individual modules represented by intrinsic connectivity networks are genetic controlled, while environmental factors influence the interplays between the modules. This work further provides network-specific hypotheses for discovery of the specific genetic and environmental factors influencing functional specialization and integration of the human brain.
KeywordConnectome Environmental Contribution Heritability Intrinsic Connectivity Network Twins
2016-05-01
Language英语
DOI10.1093/cercor/bhw027
Source PublicationCEREBRAL CORTEX
ISSN1047-3211
Volume26Issue:5Pages:2341-2352
SubtypeArticle
Indexed BySCI ; SSCI
WOS KeywordHUMAN CEREBRAL-CORTEX ; RESTING-STATE FMRI ; INDEPENDENT COMPONENT ANALYSIS ; SURFACE-BASED ANALYSIS ; DEFAULT MODE NETWORK ; WORKING-MEMORY ; LIFE-SPAN ; PREFRONTAL CORTEX ; GEOMETRICALLY ACCURATE ; MRI
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000377469500040
Citation statistics
Cited Times:44[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/19952
Collection中国科学院行为科学重点实验室
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Psychol, MRI Res Ctr, Beijing 100101, Peoples R China
3.NIMH, Sect Funct Imaging Methods, Lab Brain & Cognit, NIH, Bethesda, MD 20892 USA
4.Univ Queensland, Ctr Adv Imaging, Brisbane, Qld, Australia
5.Child Mind Inst, New York, NY USA
6.Nathan S Kline Inst Psychiat Res, Orangeburg, NY 10962 USA
7.NYU, Ctr Child Study, Phyllis Green & Randolph Cowen Inst Pediat Neuros, New York, NY USA
8.Univ Queensland, Sch Psychol, Brisbane, Qld, Australia
9.Univ Sydney, Brain & Mind Res Inst, Sydney, NSW 2006, Australia
10.Queensland Inst Med Res, Genet Epidemiol Lab, Brisbane, Qld 4006, Australia
First Author AffilicationKey Laboratory of Behavioral Science, CAS
Recommended Citation
GB/T 7714
Yang, Zhi,Zuo, Xi-Nian,McMahon, Katie L.,et al. Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain[J]. CEREBRAL CORTEX,2016,26(5):2341-2352.
APA Yang, Zhi.,Zuo, Xi-Nian.,McMahon, Katie L..,Craddock, R. Cameron.,Kelly, Clare.,...&Wright, Margaret J..(2016).Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain.CEREBRAL CORTEX,26(5),2341-2352.
MLA Yang, Zhi,et al."Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain".CEREBRAL CORTEX 26.5(2016):2341-2352.
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