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Numerical Transcoding Proficiency in 10-Year-Old Schoolchildren is Associated with Gray Matter Inter-Individual Differences: A Voxel-Based Morphometry Study

机译:10岁学童的数字转码能力与个人之间的灰色物质差异相关:基于体素的形态计量学研究

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摘要

Are individual differences in numerical performance sustained by variations in gray matter volume in schoolchildren? To our knowledge, this challenging question for neuroeducation has not yet been investigated in typical development. We used the Voxel-Based Morphometry method to search for possible structural brain differences between two groups of 10-year-old schoolchildren (N = 22) whose performance differed only in numerical transcoding between analog and symbolic systems. The results indicated that children with low numerical proficiency have less gray matter volume in the parietal (particularly in the left intraparietal sulcus and the bilateral angular gyri) and occipito-temporal areas. All the identified regions have previously been shown to be functionally involved in transcoding between analog and symbolic numerical systems. Our data contribute to a better understanding of the intertwined relationships between mathematics learning and brain structure in healthy schoolchildren.
机译:小学生的灰质量变化是否能维持数字表现的个体差异?据我们所知,在典型的发展中尚未对神经教育这一具有挑战性的问题进行研究。我们使用基于体素的形态计量学方法搜索两组10岁小学生(N = 22)之间可能存在的大脑结构差异,其表现仅在模拟系统和符号系统之间的数字转码上有所不同。结果表明,数字能力低的儿童在顶叶(尤其是在左顶壁沟和双侧角回)和枕颞区的灰质体积较小。先前已显示所有已识别区域均在功能上涉及模拟和符号数字系统之间的代码转换。我们的数据有助于更好地理解健康学龄儿童的数学学习与大脑结构之间的相互联系。

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