Altered Temporospatial Variability of Dynamic Amplitude of Low-Frequency Fluctuation in Children with Autism Spectrum Disorder.

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, DEVELOPMENTAL Journal of Autism and Developmental Disorders Pub Date : 2024-12-11 DOI:10.1007/s10803-024-06661-3
Xiaonan Guo, Xueting Wang, Rongjuan Zhou, Dong Cui, Junfeng Liu, Le Gao
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Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with altered brain activity. However, little is known about the integrated temporospatial variation of dynamic spontaneous brain activity in ASD. In the present study, resting-state functional magnetic resonance imaging data were analyzed for 105 ASD and 102 demographically-matched typically developmental controls (TC) children obtained from the Autism Brain Imaging Data Exchange database. Using the sliding-window approach, temporal, spatial, and temporospatial variability of dynamic amplitude of low-frequency fluctuation (tvALFF, svALFF, and tsvALFF) were calculated for each participant. Group-comparisons were further performed at global, network, and brain region levels to quantify differences between ASD and TC groups. The relationship between temporospatial dynamic amplitude of low-frequency fluctuation variation alterations and clinical symptoms of ASD was finally explored by a support vector regression model. Relative to TC, we found enhanced tvALFF in visual network (Vis), somatomotor network (SMT), and salience/ventral attention network (SVA) of ASD, and weakened tvALFF in dorsal attention network (DAN) of ASD. Besides, ASD showed decreased svALFF in Vis, SVA, and limbic network (Limbic), and increased svALFF in DAN and default mode network (DMN). Elevated tsvALFF was found in the Vis, SMT, and DMN of ASD. More importantly, the altered tsvALFF from the DMN can predict the symptom severity of ASD. These findings demonstrate altered temporospatial dynamics of the spontaneous brain activity in ASD and provide novel insights into the neural mechanism underlying ASD.

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自闭症谱系障碍儿童低频波动动态幅度的时空变化。
自闭症谱系障碍(ASD)是一种大脑活动改变的神经发育障碍。然而,对ASD动态自发脑活动的综合时空变化知之甚少。本研究分析了来自自闭症脑成像数据交换数据库的105名ASD儿童和102名人口统计学匹配的典型发育对照(TC)儿童的静息状态功能磁共振成像数据。采用滑动窗口法,计算每个参与者的低频波动动态幅度(tvALFF、svALFF和tsvALFF)的时间、空间和时空变异性。进一步在全局、网络和脑区域水平进行组间比较,以量化ASD组和TC组之间的差异。最后通过支持向量回归模型探讨低频波动变异的时空动态幅度变化与ASD临床症状的关系。相对于TC,我们发现ASD的视觉网络(Vis)、躯体运动网络(SMT)和显著/腹侧注意网络(SVA)的tvALFF增强,而背侧注意网络(DAN)的tvALFF减弱。此外,ASD表现为Vis、SVA和边缘网络(limbic)的svALFF降低,DAN和默认模式网络(DMN)的svALFF升高。在ASD的Vis、SMT和DMN中发现tsvALFF升高。更重要的是,DMN中tsvALFF的改变可以预测ASD的症状严重程度。这些发现证明了ASD患者自发性脑活动的时空动态变化,并为ASD的神经机制提供了新的见解。
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来源期刊
CiteScore
8.00
自引率
10.30%
发文量
433
期刊介绍: The Journal of Autism and Developmental Disorders seeks to advance theoretical and applied research as well as examine and evaluate clinical diagnoses and treatments for autism and related disabilities. JADD encourages research submissions on the causes of ASDs and related disorders, including genetic, immunological, and environmental factors; diagnosis and assessment tools (e.g., for early detection as well as behavioral and communications characteristics); and prevention and treatment options. Sample topics include: Social responsiveness in young children with autism Advances in diagnosing and reporting autism Omega-3 fatty acids to treat autism symptoms Parental and child adherence to behavioral and medical treatments for autism Increasing independent task completion by students with autism spectrum disorder Does laughter differ in children with autism? Predicting ASD diagnosis and social impairment in younger siblings of children with autism The effects of psychotropic and nonpsychotropic medication with adolescents and adults with ASD Increasing independence for individuals with ASDs Group interventions to promote social skills in school-aged children with ASDs Standard diagnostic measures for ASDs Substance abuse in adults with autism Differentiating between ADHD and autism symptoms Social competence and social skills training and interventions for children with ASDs Therapeutic horseback riding and social functioning in children with autism Authors and readers of the Journal of Autism and Developmental Disorders include sch olars, researchers, professionals, policy makers, and graduate students from a broad range of cross-disciplines, including developmental, clinical child, and school psychology; pediatrics; psychiatry; education; social work and counseling; speech, communication, and physical therapy; medicine and neuroscience; and public health.
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