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自闭症谱系障碍儿童与成人脑结构协变网络特征的差异。

Differences in Brain Structural Covariance Network Characteristics in Children and Adults With Autism Spectrum Disorder.

机构信息

School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China.

出版信息

Autism Res. 2021 Feb;14(2):265-275. doi: 10.1002/aur.2464. Epub 2021 Jan 2.

Abstract

Systematically describing the structural topological configuration of human brain during development is an essential task. Autism spectrum disorder (ASD) represents a powerful challenge for psychiatry and neuroscience researchers. In this study, we investigated variations in the structural covariance network properties of 441 patients with ASD ranging in age from 7 to 45 years and in 426 age-matched healthy controls (HCs) using structural magnetic resonance neuroimaging from the ABIDE database. We applied a sliding window approach to study topological variation during development using comprehensive graph theoretical analysis. The main findings are as follows: (1) Cross-sectional trajectories of the network characteristics exhibited inverted U-shapes in both HCs and participants with ASD, with the latter exhibiting a 7-year delay in reaching the maximum value, (2) network resilience to targeted attacks peaked at 18' and 19' in the HCs and at 25' in the participants with ASD, and the weakest resilience occurred at age 7', (3) the HCs and participants with ASD exhibited normalized mean degree differences in the right amygdala, and (4) significant differences in the network characteristics were observed in the 18' age group at most of the densities analyzed. We used cross-sectional analysis to infer distinct neurodevelopmental trajectories in ASD in the brain structural connectome. Our findings are consistent with the notion that adolescence is a sensitive period of brain development with strong potential for brain plasticity, offering opportunities for environmental adaptation and social integration and for increasing vulnerability. ASD may be a product of susceptibility. LAY SUMMARY: We used cross-sectional analysis to preliminarily infer distinct neurodevelopmental trajectories in ASD in the brain structural connectome. The main findings are as follows: (1) Cross-sectional trajectories of the network characteristics exhibited inverted U-shapes in both HCs and participants with ASD, with the latter exhibiting a 7-year delay in reaching the maximum value, (2) Network resilience to targeted attacks peaked at 18' and 19' in the HCs and at 25' in the participants with ASD, and the weakest resilience occurred at age 7', (3) The HCs and participants with ASD exhibited normalized mean degree differences in the right amygdala, and (4) significant differences in the network characteristics were observed in the 18' age group at most of the densities analyzed.

摘要

系统描述人类大脑在发育过程中的结构拓扑结构是一项必不可少的任务。自闭症谱系障碍(ASD)是精神病学和神经科学研究人员面临的强大挑战。在这项研究中,我们使用 ABIDE 数据库中的结构磁共振神经影像学,对年龄在 7 至 45 岁之间的 441 名 ASD 患者和 426 名年龄匹配的健康对照者(HCs)的结构协变网络特性的变化进行了研究。我们应用滑动窗口方法使用综合图论分析研究发育过程中的拓扑变化。主要发现如下:(1)网络特征的横断面轨迹在 HCs 和 ASD 患者中均呈倒 U 形,后者达到最大值的时间延迟了 7 年;(2)网络对靶向攻击的弹性在 HCs 中分别在 18'和 19'达到峰值,在 ASD 患者中在 25'达到峰值,而在 7'达到最弱的弹性;(3)HCs 和 ASD 患者在右侧杏仁核中表现出归一化平均度数差异;(4)在大多数分析的密度中,在 18'年龄组观察到网络特征的显著差异。我们使用横断面分析推断 ASD 大脑结构连接组中的不同神经发育轨迹。我们的研究结果与青春期是大脑发育的敏感时期的观点一致,该时期大脑具有很强的可塑性潜力,为环境适应和社会融合以及增加易感性提供了机会。ASD 可能是易感性的产物。

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