Enhancing Electroencephalogram-Based Prediction of Posttraumatic Stress Disorder Treatment Response Using Data Augmentation.

Journal: Psychiatry investigation
Published Date:

Abstract

OBJECTIVE: This study aimed to improve the prediction of treatment response in patients with posttraumatic stress disorder (PTSD) by applying a variational autoencoder (VAE)-based data augmentation (DA) approach to electroencephalogram (EEG) data.

Authors

  • Sangha Kim
    Department of Information Technology Engineering, Sookmyung Women's University, Seoul, Republic of Korea.
  • Chaeyeon Yang
    Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea.
  • Suh-Yeon Dong
    Department of IT Engineering, Sookmyung Women's University, 100 Chungpa-ro 47 gil, Yongsna-gu, Seoul 04310, Korea.
  • Seung-Hwan Lee
    Department of Psychiatry, Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea.

Keywords

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