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自闭症之谜:自闭症谱系障碍儿童存在弥漫性而非广泛性的神经解剖学异常。

The autism puzzle: Diffuse but not pervasive neuroanatomical abnormalities in children with ASD.

作者信息

Sussman D, Leung R C, Vogan V M, Lee W, Trelle S, Lin S, Cassel D B, Chakravarty M M, Lerch J P, Anagnostou E, Taylor M J

机构信息

Diagnostic Imaging Research, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON M5G 1X8, Canada.

Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada ; Departments of Psychiatry and Biomedical Engineering, McGill University, Montreal, QC, Canada.

出版信息

Neuroimage Clin. 2015 Apr 15;8:170-9. doi: 10.1016/j.nicl.2015.04.008. eCollection 2015.

DOI:10.1016/j.nicl.2015.04.008
PMID:26106541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4473820/
Abstract

Autism Spectrum Disorder (ASD) is a clinically diagnosed, heterogeneous, neurodevelopmental condition, whose underlying causes have yet to be fully determined. A variety of studies have investigated either cortical, subcortical, or cerebellar anatomy in ASD, but none have conducted a complete examination of all neuroanatomical parameters on a single, large cohort. The current study provides a comprehensive examination of brain development of children with ASD between the ages of 4 and 18 years who are carefully matched for age and sex with typically developing controls at a ratio of one-to-two. Two hundred and ten magnetic resonance images were examined from 138 Control (116 males and 22 females) and 72 participants with ASD (61 males and 11 females). Cortical segmentation into 78 brain-regions and 81,924 vertices was conducted with CIVET which facilitated a region-of-interest- (ROI-) and vertex-based analysis, respectively. Volumes for the cerebellum, hippocampus, striatum, pallidum, and thalamus and many associated subregions were derived using the MAGeT Brain algorithm. The study reveals cortical, subcortical and cerebellar differences between ASD and Control group participants. Diagnosis, diagnosis-by-age, and diagnosis-by-sex interaction effects were found to significantly impact total brain volume but not total surface area or mean cortical thickness of the ASD participants. Localized (vertex-based) analysis of cortical thickness revealed no significant group differences, even when age, age-range, and sex were used as covariates. Nonetheless, the region-based cortical thickness analysis did reveal regional changes in the left orbitofrontal cortex and left posterior cingulate gyrus, both of which showed reduced age-related cortical thinning in ASD. Our finding of region-based differences without significant vertex-based results likely indicates non-focal effects spanning the entirety of these regions. The hippocampi, thalamus, and globus pallidus, were smaller in volume relative to total cerebrum in the ASD participants. Various sub-structures showed an interaction of diagnosis-by-age, diagnosis-by-sex, and diagnosis-by-age-range, in the case where age was divided into childhood (age < 12) and adolescence (12 < age < 18). This is the most comprehensive imaging-based neuro-anatomical pediatric and adolescent ASD study to date. These data highlight the neurodevelopmental differences between typically developing children and those with ASD, and support aspects of the hypothesis of abnormal neuro-developmental trajectory of the brain in ASD.

摘要

自闭症谱系障碍(ASD)是一种临床诊断的、异质性的神经发育疾病,其根本病因尚未完全明确。多项研究对ASD患者的皮质、皮质下或小脑解剖结构进行了调查,但尚无研究在一个大型队列中对所有神经解剖学参数进行全面检查。本研究对4至18岁的ASD儿童的大脑发育进行了全面检查,这些儿童在年龄和性别上与发育正常的对照组进行了精心匹配,比例为1:2。对138名对照组(116名男性和22名女性)和72名ASD参与者(61名男性和11名女性)的210张磁共振图像进行了检查。使用CIVET将皮质分割为78个脑区和81924个顶点,分别便于进行基于感兴趣区域(ROI)和基于顶点的分析。使用MAGeT Brain算法得出小脑、海马体、纹状体、苍白球和丘脑以及许多相关子区域的体积。该研究揭示了ASD组和对照组参与者在皮质、皮质下和小脑方面的差异。发现诊断、按年龄诊断以及按性别诊断的交互作用对ASD参与者的全脑体积有显著影响,但对全表面积或平均皮质厚度没有影响。即使将年龄、年龄范围和性别用作协变量,基于顶点的皮质厚度局部分析也未发现显著的组间差异。尽管如此,基于区域的皮质厚度分析确实揭示了左眶额皮质和左后扣带回的区域变化,这两个区域在ASD中与年龄相关的皮质变薄均减少。我们发现基于区域的差异但基于顶点的结果不显著,这可能表明这些区域整体存在非局灶性效应。ASD参与者的海马体、丘脑和苍白球相对于整个大脑的体积较小。在将年龄分为儿童期(年龄<12岁)和青少年期(12<年龄<18岁)的情况下,各种子结构显示出按年龄诊断、按性别诊断和按年龄范围诊断的交互作用。这是迄今为止最全面的基于影像学的神经解剖学儿童和青少年ASD研究。这些数据突出了发育正常儿童与ASD儿童之间的神经发育差异,并支持了ASD中大脑神经发育轨迹异常的假设的各个方面。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ba4/4473820/7bda769b865d/gr3.jpg
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