Identifying autism spectrum disorder based on machine learning for multi-site fMRI.

Journal: Journal of neuroscience methods
Published Date: Jan 26, 2025

Abstract

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by repetitive stereotypical behavior and social impairment. Early diagnosis is essential for developing a treatment plan for autism. Although multi-site data can expand the dataset to facilitate the process of data analysis, data heterogeneity between sites and the large amount of data make data analysis difficult.

Authors

  • Li Kang
    College of Information Engineering, Shenzhen University, Shenzhen 518060, China. Electronic address: kangli@szu.edu.cn.
  • Mubin Chen
    College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China; the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China. Electronic address: chenmubin2023@email.szu.edu.cn.
  • Jianjun Huang
    College of Information Engineering, Shenzhen University, Shenzhen 518060, China.
  • Jinyang Xu
    College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China; the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China. Electronic address: xujinyang2019@email.szu.edu.cn.

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