期刊
CEREBRAL CORTEX
卷 26, 期 5, 页码 2341-2352出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhw027
关键词
connectome; environmental contribution; heritability; intrinsic connectivity network; twins
资金
- National Basic Research (973) Program [2015CB351702]
- Natural Science Foundation of China [81270023, 81571756, 81278412, 81171409, 81000583, 81471740, 81220108014]
- Beijing Nova Program for Science and Technology [XXJH2015B079]
- Outstanding Young Investigator Award of Institute of Psychology, Chinese Academy of Sciences
- Foundation of Beijing Key Laboratory of Mental Disorders [2014JSJB03]
- Chinese Academy of Sciences [KSZD-EW-TZ-002]
- NIH [U01MH099059, R01MH083246, R01HD050735]
- NIMH BRAINS [R01MH094639-01]
- Chinese Academy of Sciences K.C. Wong Education Foundation
- National Basic Research (973) Program of China
One 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.
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