Enhancing Electroencephalogram-Based Prediction of Posttraumatic Stress Disorder Treatment Response Using Data Augmentation
VAE-based DA effectively addresses the challenge of limited EEG data in clinical settings and enhances the performance of DNN models for treatment response prediction in PTSD. This approach presents a promising direction for future EEG-based neuropsychiatric research involving small datasets.
Authors
- Suh-Yeon Dong
- Chaeyeon Yang (ORCID: https://orcid.org/0000-0002-8355-0571)
- Seung Hwan Lee (ORCID: https://orcid.org/0000-0003-2001-7689)
- Sang‐Ha Kim (ORCID: https://orcid.org/0000-0001-7231-8163)
Institutions
- Inje University (KR)
- Sookmyung Women's University (KR)
- Inje University Ilsan Paik Hospital (KR)
Publication Details
- Journal
- Psychiatry Investigation
- Published
- 2025-08-04
- DOI
- https://doi.org/10.30773/pi.2025.0133
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- Sookmyung Women's University
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion