Facial expression analysis using convolutional neural network for drug-naive and chronic schizophrenia.

Journal: Journal of psychiatric research
PMID: 39637713

Abstract

OBJECTIVE: Facial images have been shown to convey mental conditions as clinical symptoms. This study aimed to use facial images to detect patients with drug-naive schizophrenia (DN-SCZ) or chronic schizophrenia (C-SCZ) from healthy controls (HCs), and to investigate differences in facial expressions among these 3 groups, as well as relationships between facial expressions and psychiatric symptoms.

Authors

  • Tongxin Li
    Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China; Brain Assessment & Intervention Laboratory, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
  • Xiaofei Zhang
  • Conghui Wang
    Department of Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
  • Tian Tian
    Laboratory Animal Center College of Animal Science Jilin University Changchun China.
  • Jinghui Chi
    Department of Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
  • Min Zeng
    Nephrology Department, Affiliated Hospital of Southern Medical University: Shenzhen Longhua New District People's Hospital, Shenzhen, China.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Lili Wang
    School of Logistics, Chengdu University of Information Technology, Chengdu, China.
  • Shen Li
    School of Music, Henan University, Kaifeng, China.

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