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人类功能连接组的体素水平本征向量中心性映射揭示了儿茶酚-O-甲基转移酶val158met多态性对默认模式和躯体运动网络的影响。

Voxelwise eigenvector centrality mapping of the human functional connectome reveals an influence of the catechol-O-methyltransferase val158met polymorphism on the default mode and somatomotor network.

作者信息

Markett Sebastian, Montag Christian, Heeren Behrend, Saryiska Rayna, Lachmann Bernd, Weber Bernd, Reuter Martin

机构信息

Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany.

Center for Economics and Neuroscience, University of Bonn, Bonn, Germany.

出版信息

Brain Struct Funct. 2016 Jun;221(5):2755-65. doi: 10.1007/s00429-015-1069-9. Epub 2015 May 30.

DOI:10.1007/s00429-015-1069-9
PMID:26025199
Abstract

Functional connections between brain regions constitute the substrate of the human functional connectome, whose topography has been discussed as an endophenotype for psychiatric disorders. Genetic influences on the entire connectome, however, have been rarely investigated so far. We tested for connectome-wide influences of the val158met (rs4860) polymorphism on the catechol-O-methyltransferase (COMT) gene by applying formal network analysis and eigenvector centrality mapping on the voxel level to resting-state functional magnetic imaging data. This approach finds brain regions that are central in the network by aggregating local and global connectivity patterns, most importantly without the requirement to select regions or networks of interest. The COMT variant linked to high enzyme activity increased network centrality in distributed brain areas that are known to constitute the brain's default mode network. Further results also indicated a COMT influence on areas implicated in the somatomotor network. These findings are in line with the polymorphism's alleged role in cognitive processing and its role in psychotic disorders. The study is the first to demonstrate the influence of a functional and behaviorally relevant genetic variant on connectome-wide functional connectivity and is an important step toward establishing the functional connectome as an endophenotype for psychiatric and behavioral phenotypes.

摘要

脑区之间的功能连接构成了人类功能连接组的基础,其拓扑结构已被作为精神疾病的一种内表型进行讨论。然而,迄今为止,很少有人研究基因对整个连接组的影响。我们通过对静息态功能磁共振成像数据应用形式网络分析和体素水平的特征向量中心性映射,测试了儿茶酚-O-甲基转移酶(COMT)基因的val158met(rs4860)多态性对全连接组的影响。这种方法通过汇总局部和全局连接模式来找到网络中的核心脑区,最重要的是无需选择感兴趣的区域或网络。与高酶活性相关的COMT变体增加了已知构成大脑默认模式网络的分布式脑区的网络中心性。进一步的结果还表明COMT对涉及躯体运动网络的区域有影响。这些发现与该多态性在认知加工中所谓的作用及其在精神疾病中的作用一致。这项研究首次证明了一个与功能和行为相关的基因变体对全连接组功能连接的影响,是朝着将功能连接组确立为精神和行为表型的内表型迈出的重要一步。

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