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数学资优青少年额顶叶及默认模式网络中的皮质形态测量学

Cortical morphometry in frontoparietal and default mode networks in math-gifted adolescents.

作者信息

Navas-Sánchez Francisco J, Carmona Susana, Alemán-Gómez Yasser, Sánchez-González Javier, Guzmán-de-Villoria Juan, Franco Carolina, Robles Olalla, Arango Celso, Desco Manuel

机构信息

Departamento De Bioingeniería E Ingeniería Aeroespacial, Universidad Carlos III Madrid, Madrid, Spain.

Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM), Madrid, Spain.

出版信息

Hum Brain Mapp. 2016 May;37(5):1893-902. doi: 10.1002/hbm.23143. Epub 2016 Feb 25.

DOI:10.1002/hbm.23143
PMID:26917433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6867317/
Abstract

Math-gifted subjects are characterized by above-age performance in intelligence tests, exceptional creativity, and high task commitment. Neuroimaging studies reveal enhanced functional brain organization and white matter microstructure in the frontoparietal executive network of math-gifted individuals. However, the cortical morphometry of these subjects remains largely unknown. The main goal of this study was to compare the cortical morphometry of math-gifted adolescents with that of an age- and IQ-matched control group. We used surface-based methods to perform a vertex-wise analysis of cortical thickness and surface area. Our results show that math-gifted adolescents present a thinner cortex and a larger surface area in key regions of the frontoparietal and default mode networks, which are involved in executive processing and creative thinking, respectively. The combination of reduced cortical thickness and larger surface area suggests above-age neural maturation of these networks in math-gifted individuals. Hum Brain Mapp 37:1893-1902, 2016. © 2016 Wiley Periodicals, Inc.

摘要

数学天赋高的个体具有在智力测试中表现高于同龄人、具有非凡创造力和高度任务投入的特点。神经影像学研究显示,数学天赋高的个体在额顶叶执行网络中功能脑组织结构和白质微结构增强。然而,这些个体的皮质形态学在很大程度上仍不为人知。本研究的主要目的是比较数学天赋高的青少年与年龄和智商匹配的对照组的皮质形态学。我们使用基于表面的方法对皮质厚度和表面积进行逐顶点分析。我们的结果表明,数学天赋高的青少年在额顶叶和默认模式网络的关键区域呈现出较薄的皮质和较大的表面积,这些区域分别参与执行处理和创造性思维。皮质厚度降低和表面积增大的组合表明,数学天赋高的个体中这些网络的神经成熟度高于同龄人。《人类大脑图谱》37:1893 - 1902,2016年。© 2016威利期刊公司。

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