Neuroimaging pattern interactions for suicide risk in depression captured by ensemble learning over transcriptome-defined parcellation.

Journal: Progress in neuro-psychopharmacology & biological psychiatry
Published Date: May 2, 2025

Abstract

BACKGROUND: For suicide in major depression disorder, it is urgent to seek for a reliable neuroimaging biomarker with interpretable links to molecular tissue signatures. Accordingly, we developed an ensemble learning scheme over transcriptome-defined parcellations (TDP) to explore homogeneously parcellated brain patterns and their interactions.

Authors

  • Ting Wang
    CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
  • Junneng Shao
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing 210096, China.
  • Rui Yan
    Neuromorphic Computing Research Center, College of Computer Science, Sichuan University, Chengdu, 610065, China. Electronic address: ryan@scu.edu.cn.
  • Zhongpeng Dai
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China; Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing 210096, China.
  • Cong Pei
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Zhijian Yao
    Department of Psychiatry, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
  • Qing Lu
    University of Florida, Gainesville, FL, USA.

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