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自闭症谱系障碍成人社交脑网络中灰质体积减少

Reduced Gray Matter Volume in the Social Brain Network in Adults with Autism Spectrum Disorder.

作者信息

Sato Wataru, Kochiyama Takanori, Uono Shota, Yoshimura Sayaka, Kubota Yasutaka, Sawada Reiko, Sakihama Morimitsu, Toichi Motomi

机构信息

Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine, Kyoto UniversityKyoto, Japan.

Brain Activity Imaging Center, Advanced Telecommunications Research Institute InternationalKyoto, Japan.

出版信息

Front Hum Neurosci. 2017 Aug 4;11:395. doi: 10.3389/fnhum.2017.00395. eCollection 2017.

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by behavioral impairment in social interactions. Although theoretical and empirical evidence suggests that impairment in the social brain network could be the neural underpinnings of ASD, previous structural magnetic resonance imaging (MRI) studies in adults with ASD have not provided clear support for this, possibly due to confounding factors, such as language impairments. To further explore this issue, we acquired structural MRI data and analyzed gray matter volume in adults with ASD ( = 36) who had no language impairments (diagnosed with Asperger's disorder or pervasive developmental disorder not otherwise specified, with symptoms milder than those of Asperger's disorder), had no comorbidity, and were not taking medications, and in age- and sex-matched typically developing (TD) controls ( = 36). Univariate voxel-based morphometry analyses revealed that regional gray matter volume was lower in the ASD than in the control group in several brain regions, including the right inferior occipital gyrus, left fusiform gyrus, right middle temporal gyrus, bilateral amygdala, right inferior frontal gyrus, right orbitofrontal cortex, and left dorsomedial prefrontal cortex. A multivariate approach using a partial least squares (PLS) method showed that these regions constituted a network that could be used to discriminate between the ASD and TD groups. A PLS discriminant analysis using information from these regions showed high accuracy, sensitivity, specificity, and precision (>80%) in discriminating between the groups. These results suggest that reduced gray matter volume in the social brain network represents the neural underpinnings of behavioral social malfunctioning in adults with ASD.

摘要

自闭症谱系障碍(ASD)是一种神经发育障碍,其特征是社交互动方面的行为受损。尽管理论和实证证据表明,社会脑网络的损伤可能是ASD的神经基础,但先前针对成年ASD患者的结构磁共振成像(MRI)研究并未为此提供明确支持,这可能是由于语言障碍等混杂因素所致。为了进一步探讨这个问题,我们获取了结构MRI数据,并分析了36名无语言障碍(诊断为阿斯伯格综合征或未特定的广泛性发育障碍,症状比阿斯伯格综合征轻)、无合并症且未服药的成年ASD患者以及年龄和性别匹配的典型发育(TD)对照者(36名)的灰质体积。基于体素的单变量形态学分析显示,ASD组的几个脑区,包括右侧枕下回、左侧梭状回、右侧颞中回、双侧杏仁核、右侧额下回、右侧眶额皮质和左侧背内侧前额叶皮质的区域灰质体积低于对照组。使用偏最小二乘法(PLS)的多变量方法表明,这些区域构成了一个可用于区分ASD组和TD组的网络。使用这些区域信息的PLS判别分析在区分两组时显示出高准确性、敏感性、特异性和精确性(>80%)。这些结果表明,社会脑网络中灰质体积减少代表了成年ASD患者行为社交功能障碍的神经基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48ca/5543091/3cbe7325263f/fnhum-11-00395-g001.jpg

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