Identifying autism spectrum disorder in resting-state fNIRS signals based on multiscale entropy and a two-branch deep learning network.

Journal: Journal of neuroscience methods
Published Date: Oct 28, 2022

Abstract

BACKGROUND: The demand for early and precise identification of autism spectrum disorder (ASD) presented a challenge to the prediction of ASD with a non-invasive neuroimaging method.

Authors

  • Chengxin Li
    Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China; China-Japan Friendship Hospital, Peking University, Beijing 100029, China.
  • Tingzhen Zhang
    South China Academy of Advanced Optoelectronics, South China Normal University, China.
  • Jun Li
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.

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