Automatic schizophrenic discrimination on fNIRS by using complex brain network analysis and SVM.

Journal: BMC medical informatics and decision making
PMID: 29297320

Abstract

BACKGROUND: Schizophrenia is a kind of serious mental illness. Due to the lack of an objective physiological data supporting and a unified data analysis method, doctors can only rely on the subjective experience of the data to distinguish normal people and patients, which easily lead to misdiagnosis. In recent years, functional Near-Infrared Spectroscopy (fNIRS) has been widely used in clinical diagnosis, it can get the hemoglobin concentration through the variation of optical intensity.

Authors

  • Hong Song
    School of Software, Beijing Institute of Technology, Beijing, China.
  • Lei Chen
    Department of Chemistry, Stony Brook University Stony Brook NY USA.
  • Ruiqi Gao
    Bioduro-Sundia, Shanghai, China.
  • Iordachescu Ilie Mihaita Bogdan
    School of Software, Beijing Institute of Technology, Beijing, China.
  • Jian Yang
    Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.
  • Shuliang Wang
    School of Software, Beijing Institute of Technology, Beijing, China. Slwang2011@bit.edu.cn.
  • Wentian Dong
    Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.
  • Wenxiang Quan
    Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.
  • Weimin Dang
    Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.
  • Xin Yu
    eSep Inc., Keihanna Open Innovation Center @ Kyoto (KICK), Annex 320, 7-5-1, Seikadai, Seika-cho, Soraku-gun, Kyoto 619-0238, Japan.

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