Leveraging stacked classifiers for exploring the role of hedonic processing between major depressive disorder and schizophrenia.

Journal: Psychological medicine
Published Date: Jul 23, 2025

Abstract

BACKGROUND: Anhedonia, a transdiagnostic feature common to both Major Depressive Disorder (MDD) and Schizophrenia (SCZ), is characterized by abnormalities in hedonic experience. Previous studies have used machine learning (ML) algorithms without focusing on disorder-specific characteristics to independently classify SCZ and MDD. This study aimed to classify MDD and SCZ using ML models that integrate components of hedonic processing.

Authors

  • Yating Huang
    School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
  • Jiayu He
    School of Psychology and Cognitive Science, https://ror.org/02n96ep67East China Normal University, Shanghai, China.
  • Xinyue Zhang
    Department of Radiology, Changhai Hospital.
  • Ji Chen
    Department of Population Health, New York University School of Medicine, New York, NY, United States.
  • Zhenghui Yi
    Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Qinyu Lv
    Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Chao Yan
    School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China.

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