Brain functional gradient and structure features in adolescent and adult autism spectrum disorders

自闭症谱系障碍 自闭症 默认模式网络 心理学 体素 基于体素的形态计量学 大脑结构与功能 神经影像学 神经科学 大脑定位 功能连接 脑形态计量学 听力学 发展心理学 白质 磁共振成像 医学 放射科
作者
Lili Ruan,Guangxiang Chen,Menglin Yao,Cheng Li,Chen Xiu,Hua Luo,Jianghai Ruan,Zhong Zheng,Dechou Zhang,Sicheng Liang,Muhan Lü
出处
期刊:Human Brain Mapping [Wiley]
卷期号:45 (11): e26792-e26792 被引量:10
标识
DOI:10.1002/hbm.26792
摘要

Understanding how function and structure are organized and their coupling with clinical traits in individuals with autism spectrum disorder (ASD) is a primary goal in network neuroscience research for ASD. Atypical brain functional networks and structures in individuals with ASD have been reported, but whether these associations show heterogeneous hierarchy modeling in adolescents and adults with ASD remains to be clarified. In this study, 176 adolescent and 74 adult participants with ASD without medication or comorbidities and sex, age matched healthy controls (HCs) from 19 research groups from the openly shared Autism Brain Imaging Data Exchange II database were included. To investigate the relationship between the functional gradient, structural changes, and clinical symptoms of brain networks in adolescents and adults with ASD, functional gradient and voxel-based morphometry (VBM) analyses based on 1000 parcels defined by Schaefer mapped to Yeo's seven-network atlas were performed. Pearson's correlation was calculated between the gradient scores, gray volume and density, and clinical traits. The subsystem-level analysis showed that the second gradient scores of the default mode networks and frontoparietal network in patients with ASD were relatively compressed compared to adolescent HCs. Adult patients with ASD showed an overall compression gradient of 1 in the ventral attention networks. In addition, the gray density and volumes of the subnetworks showed no significant differences between the ASD and HC groups at the adolescent stage. However, adults with ASD showed decreased gray density in the limbic network. Moreover, numerous functional gradient parameters, but not VBM parameters, in adolescents with ASD were considerably correlated with clinical traits in contrast to those in adults with ASD. Our findings proved that the atypical changes in adolescent ASD mainly involve the brain functional network, while in adult ASD, the changes are more related to brain structure, including gray density and volume. These changes in functional gradients or structures are markedly correlated with clinical traits in patients with ASD. Our study provides a novel understanding of the pathophysiology of the structure-function hierarchy in ASD.
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