{"title":"Altered Temporospatial Variability of Dynamic Amplitude of Low-Frequency Fluctuation in Children with Autism Spectrum Disorder.","authors":"Xiaonan Guo, Xueting Wang, Rongjuan Zhou, Dong Cui, Junfeng Liu, Le Gao","doi":"10.1007/s10803-024-06661-3","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":15148,"journal":{"name":"Journal of Autism and Developmental Disorders","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Autism and Developmental Disorders","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s10803-024-06661-3","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
引用次数: 0
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.
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.