Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Cognitive Neuroimaging Unit, U992, INSERM, Neurospin, Institut Joliot, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Sci Rep. 2018 Dec 4;8(1):17624. doi: 10.1038/s41598-018-35665-0.
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.
认知表现具有高度遗传性。然而，对于在认知任务中参与认知能力和大脑激活的常见遗传影响，人们知之甚少。人类连接组计划（HCP）为研究这种具有 785 名个体的扩展家谱的共享遗传病因提供了独特的机会。为了研究这种共同的遗传起源，我们利用 HCP 数据集，其中包括语言和数学激活任务。使用 HCP 多模态分割，我们确定了个体间功能磁共振成像（fMRI）激活方差由遗传显著解释的区域。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，这些行为评分对应于 fMRI 任务准确性、流体智力、工作记忆和语言表现。我们观察到，颞上回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存在显著的遗传相关性。这种共同的遗传病因为人类特异性遗传库表达的大脑区域提供了深入了解。研究与人类认知能力和大脑激活相关的多基因风险评分的关联将为更好地了解这些变体的影响提供机会。
