Abnormalities in brain complexity in children with autism spectrum disorder: a sleeping state functional MRI study.

IF 3.4 2区医学 Q2 PSYCHIATRY BMC Psychiatry Pub Date : 2025-03-19 DOI:10.1186/s12888-025-06689-4

Shishun Fu, Xiang Wang, Ziwei Chen, Zengfa Huang, Yin Feng, Yuanliang Xie, Xiang Li, Chunlan Yang, Shoujun Xu

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引用次数: 0

Abstract

Background and objective: The theory of complexity loss in neurodivergent brain is widely acknowledged. However, the findings of autism research do not seem to align well with this theory. We aim to investigate the brain complexity in children with ASD (Autism Spectrum Disorders) compared with the TD (Typical Developed) children in sleeping state.

Method: 42 ASD children and 42 TD children were imaged using sleep-state functional magnetic resonance imaging (ss-fMRI), and brain complexity was analyzed by employing sample entropy (SampEn) and transfer entropy (TE). For the ASD group, we also investigated the relationship of symptom severity with SampEn and with TE.

Results: In compared with TD group, ASD group showed significant increased SampEn in the right inferior frontal gyrus. However, in the group of TD, 13 pairs of brain regions exhibit higher TE compared to the ASD group. In the ASD group, the TE of 5 pairs of brain regions is higher than in the TD group.

Conclusion: This sleeping-state fMRI study provide evidence that ASD children exhibited aberrant brain complexity in compare with the TD children. The complexity of the autistic brain is composed of aberrant randomness in brain activity and anomalous information transmission between brain regions. We believe that brain complexity in ASD is a highly valuable area of research. Differences in the entropy of local brain regions, as well as in the transfer entropy between brain regions, may be related to the brain complexity observed in children with ASD.

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来源期刊

BMC Psychiatry 医学-精神病学

CiteScore

5.90

自引率

4.50%

发文量

716

审稿时长

3-6 weeks

期刊介绍： BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.