Genetic influences on resting-state functional networks: A twin study.
Genetic influences on resting-state functional networks: A twin study.
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DOI：
10.1002/hbm.22890
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发表时间：
2015-10
影响因子：
4.8
通讯作者：
Zhang N
中科院分区：
文献类型：
--
作者：
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 N
静息状态网络（rsn）的改变通常与精神和神经疾病有关。考虑到这一关键联系，有假设认为rsn可能被用作脑部疾病的内表型。为了验证这一概念，关键的一步是证明rsn具有遗传性。然而，对rsn遗传基础的研究仅在感兴趣区域水平的默认模式网络中进行了尝试，而对其他rsn的遗传控制尚未确定。在这里，我们使用双胞胎设计研究了遗传和环境对8个特征良好的rsn的影响。收集了56对双胞胎静息状态的功能磁共振成像数据。通过将RSN中每个体素的功能连通性协方差拟合到经典ACE孪生模型中，估计遗传和环境对每个RSN的影响。数据显示，尽管环境影响占了广泛区域变异的大部分，但有特定的大脑部位显示出对个体rsn的显著遗传控制。这些结果表明，部分人类大脑功能连接组是由基因组限制形成的。重要的是，这些信息可以用于连接遗传分析和大脑疾病的网络水平评估。
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 by 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 widespread 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.