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自闭症的皮质形态学:基于皮质形态自适应方法的局部脑回指数研究结果。

Cortical Morphology in Autism: Findings from a Cortical Shape-Adaptive Approach to Local Gyrification Indexing.

机构信息

Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232, USA.

Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, South Korea.

出版信息

Cereb Cortex. 2021 Oct 1;31(11):5188-5205. doi: 10.1093/cercor/bhab151.

Abstract

It has been challenging to elucidate the differences in brain structure that underlie behavioral features of autism. Prior studies have begun to identify patterns of changes in autism across multiple structural indices, including cortical thickness, local gyrification, and sulcal depth. However, common approaches to local gyrification indexing used in prior studies have been limited by low spatial resolution relative to functional brain topography. In this study, we analyze the aforementioned structural indices, utilizing a new method of local gyrification indexing that quantifies this index adaptively in relation to specific sulci/gyri, improving interpretation with respect to functional organization. Our sample included n = 115 autistic and n = 254 neurotypical participants aged 5-54, and we investigated structural patterns by group, age, and autism-related behaviors. Differing structural patterns by group emerged in many regions, with age moderating group differences particularly in frontal and limbic regions. There were also several regions, particularly in sensory areas, in which one or more of the structural indices of interest either positively or negatively covaried with autism-related behaviors. Given the advantages of this approach, future studies may benefit from its application in hypothesis-driven examinations of specific brain regions and/or longitudinal studies to assess brain development in autism.

摘要

阐明自闭症行为特征背后的大脑结构差异一直具有挑战性。先前的研究已经开始确定自闭症在多个结构指标上的变化模式,包括皮质厚度、局部脑回和脑沟深度。然而,先前研究中用于局部脑回指数的常用方法受到相对于功能脑图谱的低空间分辨率的限制。在这项研究中,我们分析了上述结构指标,利用一种新的局部脑回指数方法,根据特定的脑回/脑沟自适应地量化该指数,提高了与功能组织的解释。我们的样本包括 n=115 名自闭症患者和 n=254 名神经典型参与者,年龄在 5 至 54 岁之间,我们通过组、年龄和自闭症相关行为研究了结构模式。在许多区域,组间出现了不同的结构模式,年龄在额叶和边缘区域特别调节了组间差异。在几个区域,特别是在感觉区域,一个或多个感兴趣的结构指标与自闭症相关行为呈正相关或负相关。鉴于该方法的优势,未来的研究可能受益于其在特定脑区的假设驱动检查或纵向研究中的应用,以评估自闭症中的大脑发育。

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