Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data.

Journal: EBioMedicine
Published Date:

Abstract

BACKGROUND: Current fMRI-based classification approaches mostly use functional connectivity or spatial maps as input, instead of exploring the dynamic time courses directly, which does not leverage the full temporal information.

Authors

  • Weizheng Yan
    National Laboratory of Pattern Recognition and Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Vince Calhoun
    The Mind Research Network, Albuquerque, NM, USA.
  • Ming Song
    National Laboratory of Pattern Recognition and Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Yue Cui
    National Laboratory of Pattern Recognition and Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Hao Yan
    Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas 75235.
  • Shengfeng Liu
    National Laboratory of Pattern Recognition and Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Lingzhong Fan
    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Nianming Zuo
    National Laboratory of Pattern Recognition and Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Zhengyi Yang
    National Laboratory of Pattern Recognition and Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Kaibin Xu
    Chinese Academy of Sciences, Institute of Automation, Beijing, China.
  • Jun Yan
    Department of Statistics, University of Connecticut, Storrs, CT 06269, USA.
  • Luxian Lv
    Henan Key Laboratory of Biological Psychiatry, Henan Mental Hospital, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Yunchun Chen
    Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an 710032, Shaanxi, China.
  • Hua Guo
    Zhumadian Psychiatric Hospital, Zhumadian 463000, Henan, China.
  • Peng Li
    WuXi AppTec Co, Shanghai, China.
  • Lin Lu
    School of Economics and Management, Guangxi Normal University, Guilin, China.
  • Ping Wan
    Zhumadian Psychiatric Hospital, Zhumadian 463000, Henan, China.
  • Huaning Wang
    Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Huiling Wang
    Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China.
  • Yongfeng Yang
    Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China.
  • Hongxing Zhang
    Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, Henan, China; Department of Psychology, Xinxiang Medical University, Xinxiang 453002, Henan, China.
  • Dai Zhang
    Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Sixth Hospital, Peking University, Beijing, China.
  • Tianzi Jiang
    Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190 Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 100190 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China.
  • Jing Sui
    The Mind Research Network, Albuquerque, NM 87106, USA; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.