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句子处理背后皮层网络的基因表达相关性

Gene Expression Correlates of the Cortical Network Underlying Sentence Processing.

作者信息

Kong Xiang-Zhen, Tzourio-Mazoyer Nathalie, Joliot Marc, Fedorenko Evelina, Liu Jia, Fisher Simon E, Francks Clyde

机构信息

Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.

University of Bordeaux, GIN, IMN, UMR 5293, Bordeaux, France.

出版信息

Neurobiol Lang (Camb). 2020 Mar 1;1(1):77-103. doi: 10.1162/nol_a_00004. eCollection 2020.

Abstract

A pivotal question in modern neuroscience is which genes regulate brain circuits that underlie cognitive functions. However, the field is still in its infancy. Here we report an integrated investigation of the high-level language network (i.e., sentence-processing network) in the human cerebral cortex, combining regional gene expression profiles, task fMRI, large-scale neuroimaging meta-analysis, and resting-state functional network approaches. We revealed reliable gene expression-functional network correlations using three different network definition strategies, and identified a consensus set of genes related to connectivity within the sentence-processing network. The genes involved showed enrichment for neural development and actin-related functions, as well as association signals with autism, which can involve disrupted language functioning. Our findings help elucidate the molecular basis of the brain's infrastructure for language. The integrative approach described here will be useful for studying other complex cognitive traits.

摘要

现代神经科学中的一个关键问题是哪些基因调节构成认知功能基础的脑回路。然而,该领域仍处于起步阶段。在此,我们报告了一项对人类大脑皮层中高级语言网络(即句子处理网络)的综合研究,结合了区域基因表达谱、任务功能磁共振成像、大规模神经成像荟萃分析和静息态功能网络方法。我们使用三种不同的网络定义策略揭示了可靠的基因表达与功能网络的相关性,并确定了一组与句子处理网络内连通性相关的共有基因。所涉及的基因在神经发育和肌动蛋白相关功能方面表现出富集,以及与自闭症的关联信号,自闭症可能涉及语言功能受损。我们的发现有助于阐明大脑语言基础结构的分子基础。这里描述的综合方法将有助于研究其他复杂的认知特征。

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