Abnormal gray matter volume and functional connectivity patterns in social cognition‐related brain regions of young children with autism spectrum disorder

自闭症谱系障碍 心理学 灰色(单位) 神经科学 大脑大小 自闭症 认知 认知心理学 磁共振成像 功能连接 发展心理学 医学 放射科
作者
Chen Bai,Yunlei Wang,Yan Zhang,Xianna Wang,Zhenbo Chen,Yu Weiyong,Haojie Zhang,Xingzhu Li,Kaixuan Zhu,Yuxiang Wang,Tong Zhang
出处
期刊:Autism Research [Wiley]
卷期号:16 (6): 1124-1137 被引量:10
标识
DOI:10.1002/aur.2936
摘要

Autism spectrum disorder (ASD) is associated with abnormal brain imaging findings, but descriptions thereof are inconsistent. The aim of the present study was to investigate brain abnormalities in young children with ASD using a combination of structural and functional brain magnetic resonance imaging (MRI). Structural and resting-state functional MRI was performed in 67 children with ASD (aged 2-7 years) and 39 age-matched typically developing (TD) controls. Voxel-based morphometry was used to evaluate differences in brain structure between groups. Topologic parameters of the functional brain network were compared by graph theoretic analysis and network connectomes were compared with network-based statistics. A support vector machine (SVM) was used to discriminate between ASD and TD groups. Results demonstrated young children with ASD had increased gray matter volumes (GMVs) in the right medial superior frontal gyrus and left fusiform gyrus compared with the TD group. The ASD group had altered subnetwork connectivity in frontal and temporal lobes and other social cognition-related brain regions. Functional connectivity in the left superior temporal gyrus and left temporal pole of the middle temporal gyrus was positively correlated with adaptability and language developmental quotient (DQ) in children with ASD. The combination of the brain structural and functional features had 86.2% accuracy in discriminating between ASD and TD. The present study shows that young children with ASD have altered GMVs and functional networks in social cognition-related brain regions, which are potential neuroimaging biomarkers for ASD.
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