Dysregulated dynamic time-varying triple-network segregation in children with autism spectrum disorder

Author:

Guo Xiaonan12,Cao Yabo12,Liu Junfeng3,Zhang Xia12,Zhai Guangjin12,Chen Heng4ORCID,Gao Le12

Affiliation:

1. Department of Electronics and Communication Engineering, School of Information Science and Engineering, Yanshan University , No. 438 West Hebei Avenue, Qinhuangdao, 066004 , China

2. Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University , No. 438 West Hebei Avenue, Qinhuangdao, 066004 , China

3. Department of Neurology, West China Hospital, Sichuan University , China. No. 37 Guo Xue Xiang, Chengdu, 610041 , China

4. Department of Medical Information Engineering, School of Medicine, Guizhou University , Jiaxiu Road, Guiyang, 550025 , China

Abstract

Abstract One of the remarkable characteristics of autism spectrum disorder (ASD) is the dysregulation of functional connectivity of the triple-network, which includes the salience network (SN), default mode network (DMN), and central executive network (CEN). However, there is little known about the segregation of the triple-network dynamics in ASD. This study used resting-state functional magnetic resonance imaging data including 105 ASD and 102 demographically-matched typical developing control (TC) children. We compared the dynamic time-varying triple-network segregation and triple-network functional connectivity states between ASD and TC groups, and examined the relationship between dynamic triple-network segregation alterations and clinical symptoms of ASD. The average dynamic network segregation value of the DMN with SN and the DMN with CEN in ASD was lower but the coefficient of variation (CV) of dynamic network segregation of the DMN with CEN was higher in ASD. Furthermore, partially reduced triple-network segregation associated with the DMN was found in connectivity states analysis of ASD. These abnormal average values and CV of dynamic network segregation predicted social communication deficits and restricted and repetitive behaviors in ASD. Our findings indicate abnormal dynamic time-varying triple-network segregation of ASD and highlight the crucial role of the triple-network in the neural mechanisms underlying ASD.

Funder

National Natural Science Foundation of China

Hebei Key Laboratory Project

Natural Science Foundation of Hebei Province

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3