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个体数学能力差异的神经生物学起源。

Neurobiological origins of individual differences in mathematical ability.

机构信息

Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Institute of Psychology, Humboldt University of Berlin, Berlin, Germany.

出版信息

PLoS Biol. 2020 Oct 22;18(10):e3000871. doi: 10.1371/journal.pbio.3000871. eCollection 2020 Oct.

Abstract

Mathematical ability is heritable and related to several genes expressing proteins in the brain. It is unknown, however, which intermediate neural phenotypes could explain how these genes relate to mathematical ability. Here, we examined genetic effects on cerebral cortical volume of 3-6-year-old children without mathematical training to predict mathematical ability in school at 7-9 years of age. To this end, we followed an exploration sample (n = 101) and an independent replication sample (n = 77). We found that ROBO1, a gene known to regulate prenatal growth of cerebral cortical layers, is associated with the volume of the right parietal cortex, a key region for quantity representation. Individual volume differences in this region predicted up to a fifth of the behavioral variance in mathematical ability. Our findings indicate that a fundamental genetic component of the quantity processing system is rooted in the early development of the parietal cortex.

摘要

数学能力是可遗传的,与大脑中表达蛋白质的几个基因有关。然而,目前尚不清楚哪些中间神经表型可以解释这些基因与数学能力的关系。在这里,我们研究了 3-6 岁儿童大脑皮质体积的遗传效应,这些儿童没有接受过数学训练,以预测他们在 7-9 岁时的学校数学能力。为此,我们对一个探索样本(n = 101)和一个独立的复制样本(n = 77)进行了研究。我们发现,ROBO1 是一个已知调节大脑皮质层产前生长的基因,与数量表示的关键区域右顶叶皮质的体积有关。该区域的个体体积差异可以预测高达五分之一的数学能力的行为差异。我们的研究结果表明,数量处理系统的一个基本遗传成分根植于顶叶皮质的早期发育。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0aa7/7580992/858b3ddec40f/pbio.3000871.g001.jpg

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