Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application.

Journal: BMC psychiatry
PMID: 40229794

Abstract

BACKGROUND: Early identification of Schizophrenia Spectrum Disorder (SSD) is crucial for effective intervention and prognosis improvement. Previous neuroimaging-based classifications have primarily focused on chronic, medicated SSD cohorts. However, the question remains whether brain metrics identified in these populations can serve as trait biomarkers for early-stage SSD. This study investigates whether functional connectivity features identified in chronic, medicated SSD patients could be generalized to early-stage SSD.

Authors

  • Chao Li
    McGill University Health Centre, McGill Adult Unit for Congenital Heart Disease Excellence, Montreal, Québec, Canada.
  • Ji Chen
    Department of Population Health, New York University School of Medicine, New York, NY, United States.
  • Mengshi Dong
    Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Rd, Guangzhou, 510630, China.
  • Hao Yan
    Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas 75235.
  • Feng Chen
    Department of Integrated Care Management Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Ning Mao
    Department of Radiology, Peking University People's Hospital, 11 Xizhimen Nandajie, Xicheng District, Beijing, 100044, People's Republic of China.
  • Shuai Wang
    Department of Intensive Care Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Xiaozhu Liu
    Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Yanqing Tang
    Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China. yanqingtang@163.com.
  • Fei Wang
    Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, United States.
  • Jie Qin
    The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.

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