School of Rehabilitation, Capital Medical University, Beijing, China.
Beijing Bo' ai Hospital, China Rehabilitation Research Center, Beijing, China.
Autism Res. 2023 Jun;16(6):1124-1137. doi: 10.1002/aur.2936. Epub 2023 May 10.
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.
自闭症谱系障碍(ASD)与异常的大脑影像学发现有关,但描述不一致。本研究旨在通过结构和功能磁共振成像(MRI)联合研究 ASD 儿童的大脑异常。对 67 名 ASD 儿童(年龄 2-7 岁)和 39 名年龄匹配的典型发育(TD)对照组进行了结构和静息态功能 MRI 检查。基于体素的形态测量用于评估组间大脑结构差异。通过图论分析比较功能脑网络的拓扑参数,并通过网络连接组学比较网络连接。支持向量机(SVM)用于区分 ASD 和 TD 组。结果表明,与 TD 组相比,ASD 儿童右侧内侧额上回和左侧梭状回的灰质体积(GMV)增加。ASD 组额叶和颞叶以及其他与社会认知相关的大脑区域的子网连接发生改变。左颞上回和中颞叶左颞极的功能连接与 ASD 儿童的适应性和语言发育商(DQ)呈正相关。脑结构和功能特征的组合对 ASD 和 TD 进行区分的准确率为 86.2%。本研究表明,ASD 儿童在与社会认知相关的大脑区域存在 GMV 和功能网络改变,这些可能是 ASD 的潜在神经影像学生物标志物。