Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features.

Journal: NeuroImage. Clinical
Published Date: Sep 5, 2019

Abstract

BACKGROUND: The development of optimal classification criteria for specific mental disorders which share similar symptoms is an important issue for precise diagnosis. We investigated whether P300 features in both sensor-level and source-level could be effectively used to classify post-traumatic stress disorder (PTSD) and major depressive disorder (MDD).

Authors

  • Miseon Shim
    Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.
  • Min Jin Jin
    Clinical Emotion and Cognition Research Laboratory, Goyang, Republic of Korea; Department of Psychology, Chung-Ang University, Seoul, Republic of Korea.
  • Chang-Hwan Im
    Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea.
  • Seung-Hwan Lee
    Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea.

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