Vision transformer and complex network analysis for autism spectrum disorder classification in T1 structural MRI.

Journal: Japanese journal of radiology
Published Date: Jul 15, 2025

Abstract

BACKGROUND: Autism spectrum disorder (ASD) affects social interaction, communication, and behavior. Early diagnosis is important as it enables timely intervention that can significantly improve long-term outcomes, but current diagnostic, which rely heavily on behavioral observations and clinical interviews, are often subjective and time-consuming. This study introduces an AI-based approach that uses T1-weighted structural MRI (sMRI) scans, network analysis, and vision transformers to automatically diagnose ASD.

Authors

  • Xingyu Gao
    Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China.
  • Yuchao Xu
    School of Nuclear Science and Technology, University of South China, Hengyang City 421001, China.

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