Connectome-based prediction of the severity of autism spectrum disorder.

Journal: Psychoradiology
Published Date: Nov 27, 2023

Abstract

BACKGROUND: Autism spectrum disorder (ASD) is characterized by social and behavioural deficits. Current diagnosis relies on behavioural criteria, but machine learning, particularly connectome-based predictive modelling (CPM), offers the potential to uncover neural biomarkers for ASD.

Authors

  • Xuefeng Ma
    Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province 650500, China.
  • Weiran Zhou
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Hui Zheng
    Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai 200030, China.
  • Shuer Ye
    Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Norwegian University of Science and Technology, Trondheim 7491, Norway.
  • Bo Yang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Lingxiao Wang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Min Wang
    National and Local Joint Engineering Research Center of Ecological Treatment Technology for Urban Water Pollution, Wenzhou University, Wenzhou 325035, China.
  • Guang-Heng Dong
    Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province 650500, China.

Keywords

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