Multi-Site Diagnostic Classification of Schizophrenia Using Discriminant Deep Learning with Functional Connectivity MRI.

Journal: EBioMedicine
Published Date:

Abstract

BACKGROUND: A lack of a sufficiently large sample at single sites causes poor generalizability in automatic diagnosis classification of heterogeneous psychiatric disorders such as schizophrenia based on brain imaging scans. Advanced deep learning methods may be capable of learning subtle hidden patterns from high dimensional imaging data, overcome potential site-related variation, and achieve reproducible cross-site classification. However, deep learning-based cross-site transfer classification, despite less imaging site-specificity and more generalizability of diagnostic models, has not been investigated in schizophrenia.

Authors

  • Ling-Li Zeng
    College of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
  • Huaning Wang
    Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Panpan Hu
    Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Bo Yang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Weidan Pu
    Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China.
  • Hui Shen
    College of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
  • Xingui Chen
    Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zhening Liu
    Mental Health Institute, the Second Xiangya Hospital of Central South University, Changsha, China.
  • Hong Yin
    Department of Mathematics, School of Information, Renmin University of China, No.59 Zhong Guan Cun Avenue, Hai Dian District, Beijing, 100872, China. yinxiaohong82@hotmail.com.
  • Qingrong Tan
    Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China. Electronic address: tanqingr@fmmu.edu.cn.
  • Kai Wang
    Department of Rheumatology, The Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, Huai'an, Jiangsu, China.
  • Dewen Hu