Alterations of Prefrontal-Posterior Information Processing Patterns in Autism Spectrum Disorders

Autism spectrum disorder (ASD) is a heterogeneous disorder characterized by different levels of repetitive and stereotypic behavior as well as deficits in social interaction and communication. In this current study, we explored the changes in cerebral neural activities in ASD. The purpose of this st...

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Bibliographic Details
Published in:Frontiers in neuroscience 2022-01, Vol.15, p.768219-768219
Main Authors: Zhao, Hai-Chen, Lv, Rui, Zhang, Guang-Yu, He, Le-Min, Cai, Xiao-Tao, Sun, Qiang, Yan, Chun-Yan, Bao, Xiang-Yuan, Lv, Xin-Yue, Fu, Bin
Format: Article
Language:English
Subjects:
Autism
autism spectrum disorders
Autistic children
Brain
Cognitive ability
Entropy
entropy connectivity
Information processing
Neural coding
Neural networks
Neuroscience
Patients
predictive coding theory
Prefrontal cortex
rest-state fMRI
Software
Stereotyped behavior
Time series
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Summary:Autism spectrum disorder (ASD) is a heterogeneous disorder characterized by different levels of repetitive and stereotypic behavior as well as deficits in social interaction and communication. In this current study, we explored the changes in cerebral neural activities in ASD. The purpose of this study is to investigate whether there exists a dysfunction of interactive information processing between the prefrontal cortex and posterior brain regions in ASD. We investigated the atypical connectivity and information flow between the prefrontal cortex and posterior brain regions in ASD utilizing the entropy connectivity (a kind of directional connectivity) method. Eighty-nine patients with ASD and 94 typical developing (TD) teenagers participated in this study. Two-sample t-tests revealed weakened interactive entropy connectivity between the prefrontal cortex and posterior brain regions. This result indicates that there exists interactive prefrontal-posterior underconnectivity in ASD, and this disorder might lead to less prior knowledge being used and updated. Our proposals highlighted that aforementioned atypical change might accelerate the deoptimization of brain networks in ASD.
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2021.768219