Abnormal resting-state brain network dynamics in toddlers with autism spectrum disorder.

IF 4.9 2区 医学 Q1 PEDIATRICS
European Child & Adolescent Psychiatry Pub Date : 2025-08-01 Epub Date: 2025-01-24 DOI:10.1007/s00787-025-02651-7
Xiuxian Li, Shengjuan Wu, Wenzhong Yang, Chengcheng Jiang, Zhiwei Zhao, Hong Wang, Fuchun Lin
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引用次数: 0

Abstract

Emerging evidence suggests aberrant functional connectivity (FC) of brain networks in children, adolescents, and adults with autism spectrum disorder (ASD). However, little is known about alterations of dynamic FC in toddlers with ASD. The aim of this study was to investigate the characteristics of brain network dynamics in ASD toddlers. We analyzed resting-state functional magnetic resonance imaging data of 41 ASD and 23 typically-developing (TD) toddlers aged 15-45 months using leading eigenvector dynamics analysis. The between-group differences in the temporal properties of state were evaluated, followed by correlation analysis of these differences with autistic factors in ASD. Compared with TD subjects, ASD toddlers had a lower occurrence rate and mean dwell time in the global state. The mean dwell time of this state was negatively correlated with the body and object use of the autism behavior checklist (ABC) score. The ASD group presented a higher occurrence probability in the state related to the visual network, and the dwell time of this state was positively correlated with the relationship building of the ABC score. Moreover, the occurrence probability of the state related to the dorsal attention network and default mode network was positively correlated with the body and object use of the ABC score. Our findings indicate that there are differences in the developmental patterns of large-scale brain functional networks in ASD toddlers, which may contribute to the early identification of ASD and provide meaningful insights into its potential neural mechanisms.

自闭症谱系障碍幼儿的异常静息状态脑网络动态。
新出现的证据表明,患有自闭症谱系障碍(ASD)的儿童、青少年和成人的大脑网络存在异常的功能连接(FC)。然而,对于自闭症幼儿动态FC的改变,我们所知甚少。本研究旨在探讨ASD幼儿的脑网络动态特征。采用领先特征向量动力学分析方法,对41例15-45月龄ASD患儿和23例15-45月龄TD患儿静息态功能磁共振成像数据进行分析。评估两组间状态时间属性的差异,并分析这些差异与自闭症因素的相关性。与TD受试者相比,ASD幼儿整体状态的发生率和平均停留时间较低。这种状态的平均停留时间与自闭症行为检查表(ABC)的身体和物体使用得分呈负相关。ASD组出现视觉网络相关状态的概率较高,且该状态停留时间与ABC评分的关系建立呈正相关。此外,与背侧注意网络和默认模式网络相关的状态出现概率与ABC得分的身体和物体使用呈正相关。我们的研究结果表明,ASD幼儿的大尺度脑功能网络发育模式存在差异,这可能有助于ASD的早期识别,并为其潜在的神经机制提供有意义的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.80
自引率
4.70%
发文量
186
审稿时长
6-12 weeks
期刊介绍: European Child and Adolescent Psychiatry is Europe''s only peer-reviewed journal entirely devoted to child and adolescent psychiatry. It aims to further a broad understanding of psychopathology in children and adolescents. Empirical research is its foundation, and clinical relevance is its hallmark. European Child and Adolescent Psychiatry welcomes in particular papers covering neuropsychiatry, cognitive neuroscience, genetics, neuroimaging, pharmacology, and related fields of interest. Contributions are encouraged from all around the world.
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