Abnormal multimodal neuroimaging patterns associated with social deficits in male autism spectrum disorder

心理学 自闭症谱系障碍 神经影像学 自闭症 功能磁共振成像 神经科学 白质 显著性(神经科学) 大脑活动与冥想 发展心理学 认知心理学 听力学 脑电图 磁共振成像 医学 放射科
作者
Long Wei,Xin Xu,Yuwei Su,Min Lan,Sifeng Wang,Suyu Zhong
出处
期刊:Human Brain Mapping [Wiley]
卷期号:45 (13)
标识
DOI:10.1002/hbm.70017
摘要

Abstract Atypical social impairments (i.e., impaired social cognition and social communication) are vital manifestations of autism spectrum disorder (ASD) patients, and the incidence rate of ASD is significantly higher in males than in females. Characterizing the atypical brain patterns underlying social deficits of ASD is significant for understanding the pathogenesis. However, there are no robust imaging biomarkers that are specific to ASD, which may be due to neurobiological complexity and limitations of single‐modality research. To describe the multimodal brain patterns related to social deficits in ASD, we highlighted the potential functional role of white matter (WM) and incorporated WM functional activity and gray matter structure into multimodal fusion. Gray matter volume (GMV) and fractional amplitude of low‐frequency fluctuations of WM (WM‐fALFF) were combined by fusion analysis model adopting the social behavior. Our results revealed multimodal spatial patterns associated with Social Responsiveness Scale multiple scores in ASD. Specifically, GMV exhibited a consistent brain pattern, in which salience network and limbic system were commonly identified associated with all multiple social impairments. More divergent brain patterns in WM‐fALFF were explored, suggesting that WM functional activity is more sensitive to ASD's complex social impairments. Moreover, brain regions related to social impairment may be potentially interconnected across modalities. Cross‐site validation established the repeatability of our results. Our research findings contribute to understanding the neural mechanisms underlying social disorders in ASD and affirm the feasibility of identifying biomarkers from functional activity in WM.
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