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Shared genetic aetiology between cognitive performance and brain activations in language and math tasks

机译:语言和数学任务中的认知表现和大脑激活之间共享的遗传病因

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摘要

Cognitive performance is highly heritable. However, little is known about common genetic influences on cognitive ability and brain activation when engaged in a cognitive task. The Human Connectome Project (HCP) offers a unique opportunity to study this shared genetic etiology with an extended pedigree of 785 individuals. To investigate this common genetic origin, we took advantage of the HCP dataset, which includes both language and mathematics activation tasks. Using the HCP multimodal parcellation, we identified areals in which inter-individual functional MRI (fMRI) activation variance was significantly explained by genetics. Then, we performed bivariate genetic analyses between the neural activations and behavioral scores, corresponding to the fMRI task accuracies, fluid intelligence, working memory and language performance. We observed that several parts of the language network along the superior temporal sulcus, as well as the angular gyrus belonging to the math processing network, are significantly genetically correlated with these indicators of cognitive performance. This shared genetic etiology provides insights into the brain areas where the human-specific genetic repertoire is expressed. Studying the association of polygenic risk scores, using variants associated with human cognitive ability and brain activation, would provide an opportunity to better understand where these variants are influential.
机译:认知表现是高度可遗传的。但是,对于从事认知任务的常见遗传因素对认知能力和大脑激活的影响知之甚少。人类连接基因组计划(HCP)提供了一个独特的机会来研究这种共有的遗传病因,拥有785个个体的扩展血统书。为了研究这种常见的遗传起源,我们利用了HCP数据集,其中包括语言和数学激活任务。使用HCP多模态细胞分裂法,我们确定了遗传学对个体功能性MRI(fMRI)激活差异显着解释的区域。然后,我们在神经激活和行为评分之间进行了双变量遗传分析,对应于功能磁共振成像任务的准确性,体液智力,工作记忆和语言表现。我们观察到,沿着颞上沟的语言网络的几个部分以及属于数学处理网络的角回与这些认知表现指标在遗传上显着相关。这种共享的遗传病因学提供了洞悉表达人类特定遗传库的大脑区域的信息。使用与人类认知能力和大脑激活相关的变体研究多基因风险评分的相关性,将为更好地了解这些变体在何处产生影响提供机会。

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