Multi-feature fusion method combining brain functional connectivity and graph theory for schizophrenia classification and neuroimaging markers screening.

Journal: Journal of psychiatric research
PMID: 40010076

Abstract

BACKGROUND: The abnormalities in brain functional connectivity (FC) and graph topology (GT) in patients with schizophrenia (SZ) are unclear. Researchers proposed machine learning algorithms by combining FC or GT to identify SZ from healthy controls. The schizophrenia classification and neuroimaging markers screening using FC and GT feature fusion are blank.

Authors

  • Chang Wang
    Key Laboratory of the plateau of environmental damage control, Lanzhou General Hospital of Lanzhou Military Command, Lanzhou, China.
  • Yaning Ren
    Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China; School of Medical Engineering, Xinxiang Medical University, Xinxiang, China; Henan Key Laboratory of Biological Psychiatry, Xinxiang, China; Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China; Xinxiang Engineering Technology Research Center of Intelligent Medical Imaging Diagnosis, Xinxiang, China.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
  • Jiyuan Zhang
    Quality Standard Center for Chinese Materia Medica, Capital Medical University, Beijing 100010, China.
  • Xiao Li
    Department of Inner Mongolia Clinical Medicine College, Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
  • Xiangyu Chen
  • Jiefen Shen
    Henan Collaborative Innovation Center of Prevention and treatment of mental disorder, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China; Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China.
  • Zongya Zhao
    College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan, China; Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China; Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China.
  • Yongfeng Yang
    Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China.
  • Wenjie Ren
    School of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, P. R. China.
  • Yi Yu
    Center of Reproductive Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.

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