Alteration of the large-scale white-matter functional networks in autism spectrum disorder

Author:

Chen Kai1,Zhuang Wenwen1,Zhang Yanfang2,Yin Shunjie1,Liu Yinghua1,Chen Yuan1,Kang Xiaodong3,Ma Hailin4,Zhang Tao1

Affiliation:

1. Xihua University Mental Health Education Center and School of Big Health Management, , Jinniu District, Chengdu, Sichuan , China

2. Southern Medical University Department of Ultrasonic Medicine, Baiyun Branch, Nanfang Hospital, , 1838 Guangzhou Avenue North, Baiyun District, Guangzhou City, Guangdong Province , China

3. Chengdu University of TCM The Department of Sichuan 81 Rehabilitation Center, , No. 81 Bayi Road, Yongning Street, Wenjiang District, Chengdu City 610075 , China

4. Tibet University Plateau Brain Science Research Center, , 10 Zangda East Road, Lhasa City 510631 , China

Abstract

Abstract Autism spectrum disorder is a neurodevelopmental disorder whose core deficit is social dysfunction. Previous studies have indicated that structural changes in white matter are associated with autism spectrum disorder. However, few studies have explored the alteration of the large-scale white-matter functional networks in autism spectrum disorder. Here, we identified ten white-matter functional networks on resting-state functional magnetic resonance imaging data using the K-means clustering algorithm. Compared with the white matter and white-matter functional network connectivity of the healthy controls group, we found significantly decreased white matter and white-matter functional network connectivity mainly located within the Occipital network, Middle temporo-frontal network, and Deep network in autism spectrum disorder. Compared with healthy controls, findings from white-matter gray-matter functional network connectivity showed the decreased white-matter gray-matter functional network connectivity mainly distributing in the Occipital network and Deep network. Moreover, we compared the spontaneous activity of white-matter functional networks between the two groups. We found that the spontaneous activity of Middle temporo-frontal and Deep network was significantly decreased in autism spectrum disorder. Finally, the correlation analysis showed that the white matter and white-matter functional network connectivity between the Middle temporo-frontal network and others networks and the spontaneous activity of the Deep network were significantly correlated with the Social Responsiveness Scale scores of autism spectrum disorder. Together, our findings indicate that changes in the white-matter functional networks are associated behavioral deficits in autism spectrum disorder.

Funder

Medical Science and Technology Research Fund of Guangdong Province

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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