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自闭症谱系障碍中共病抑郁症的灰质体积相关性

Gray Matter Volume Correlates of Co-Occurring Depression in Autism Spectrum Disorder.

作者信息

Dhar Dolcy, Chaturvedi Manasi, Sehwag Saanvi, Malhotra Chehak, Saraf Chetan, Chakrabarty Mrinmoy

机构信息

Department of Social Sciences and Humanities, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.

Centre for Design and New Media, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.

出版信息

J Autism Dev Disord. 2024 Oct 23. doi: 10.1007/s10803-024-06602-0.

Abstract

Autism Spectrum Disorder (ASD) involves neurodevelopmental syndromes with significant deficits in communication, motor behaviors, emotional and social comprehension. Often, individuals with ASD exhibit co-occurring depression characterized by a change in mood and diminished interest in previously enjoyable activities. Due to communicative challenges and a lack of appropriate assessments in this cohort, co-occurring depression can often go undiagnosed during routine clinical examinations and, thus, its management neglected. The literature on co-occurring depression in adults with ASD is limited. Therefore, understanding the neural basis of the co-occurring psychopathology of depression in ASD is crucial for identifying brain-based markers for its timely and effective management. Using structural MRI and phenotypic data from the Autism Brain Imaging Data Exchange (ABIDE II) repository, we examined the pattern of relationship regional grey matter volume (rGMV) has with co-occurring depression and autism severity within regions of a priori interest in adults with ASD (n = 44; age = 17-28 years). Further, we performed an exploratory analysis of the rGMV differences between ASD and matched typically developed (TD, n = 39; age = 18-31 years) samples. The severity of co-occurring depression correlated negatively with the rGMV of the right thalamus. Additionally, a significant interaction was evident between the severity of co-occurring depression and core ASD symptoms towards explaining the rGMV in the left cerebellum crus II. The results further the understanding of the neurobiological underpinnings of co-occurring depression in adults with ASD towards exploring neuroimaging-based biomarkers in the same cohort.

摘要

自闭症谱系障碍(ASD)是一种神经发育综合征,在沟通、运动行为、情感和社会理解方面存在显著缺陷。通常,患有ASD的个体同时表现出抑郁症,其特征为情绪变化和对以前喜欢的活动兴趣降低。由于该群体存在沟通障碍且缺乏适当的评估,共病的抑郁症在常规临床检查中常常无法被诊断出来,因此其治疗也被忽视。关于成年ASD患者共病抑郁症的文献有限。因此,了解ASD中共病抑郁症的神经病理学基础对于识别基于大脑的标志物以进行及时有效的治疗至关重要。我们使用来自自闭症脑成像数据交换(ABIDE II)数据库的结构MRI和表型数据,研究了成年ASD患者(n = 44;年龄 = 17 - 28岁)感兴趣的先验区域内,区域灰质体积(rGMV)与共病抑郁症及自闭症严重程度之间的关系模式。此外,我们对ASD组和匹配的正常发育(TD,n = 39;年龄 = 18 - 31岁)样本之间的rGMV差异进行了探索性分析。共病抑郁症的严重程度与右侧丘脑的rGMV呈负相关。此外,在解释左小脑II脚的rGMV时,共病抑郁症的严重程度与ASD核心症状之间存在显著的交互作用。这些结果进一步加深了我们对成年ASD患者共病抑郁症神经生物学基础的理解,有助于在同一群体中探索基于神经影像学的生物标志物。

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