Abstract:
:Alterations in resting-state networks (RSNs) are often associated with psychiatric and neurologic disorders. Given this critical linkage, it has been hypothesized that RSNs can potentially be used as endophenotypes for brain diseases. To validate this notion, a critical step is to show that RSNs exhibit heritability. However, the investigation of the genetic basis of RSNs has only been attempted in the default-mode network at the region-of-interest level, while the genetic control on other RSNs has not been determined yet. Here, we examined the genetic and environmental influences on eight well-characterized RSNs using a twin design. Resting-state functional magnetic resonance imaging data in 56 pairs of twins were collected. The genetic and environmental effects on each RSN were estimated by fitting the functional connectivity covariance of each voxel in the RSN to the classic ACE twin model. The data showed that although environmental effects accounted for the majority of variance in wide-spread areas, there were specific brain sites that showed significant genetic control for individual RSNs. These results suggest that part of the human brain functional connectome is shaped by genomic constraints. Importantly, this information can be useful for bridging genetic analysis and network-level assessment of brain disorders.
journal_name
Hum Brain Mappjournal_title
Human brain mappingauthors
Fu Y,Ma Z,Hamilton C,Liang Z,Hou X,Ma X,Hu X,He Q,Deng W,Wang Y,Zhao L,Meng H,Li T,Zhang Ndoi
10.1002/hbm.22890subject
Has Abstractpub_date
2015-10-01 00:00:00pages
3959-72issue
10eissn
1065-9471issn
1097-0193journal_volume
36pub_type
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