Using deep learning and pretreatment EEG to predict response to sertraline, bupropion, and placebo.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
PMID: 39332081

Abstract

OBJECTIVE: Predicting an individual's response to antidepressant medication remains one of the most challenging tasks in the treatment of major depressive disorder (MDD). Our objective was to use the large EMBARC study database to develop an electroencephalography (EEG)-based method to predict response to antidepressant treatment.

Authors

  • Marman Ravan
    Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, USA. Electronic address: mravan@nyit.edu.
  • Amin Noroozi
    Department of Digital, Technologies, and Arts, Staffordshire University, Staffordshire, England, UK.
  • Harshil Gediya
    Department of Computer Science, New York Institute of Technology, New York, NY, USA.
  • Kennette James Basco
    Department of Computer Science, New York Institute of Technology, New York, NY, USA.
  • Gary Hasey
    Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.

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