Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder

These findings underscore the clinical potential of EEG-based DL models for stratified treatment in MDD, facilitating accurate therapy choices and reducing ineffective treatments. The results of the integration of objective neurophysiological markers into clinical psychiatry are indicating the potential for more personalized treatment allocation.

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Publication Details

Journal
Communications Medicine
Published
2026-03-23
DOI
https://doi.org/10.1038/s43856-026-01394-z
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder

Natalia Jaworska, Sara de la Salle, Sebastian Olbrich, Tobias Welt et al.
Communications Medicine
EEG and Brain-Computer Interfaces
article

Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder

Natalia Jaworska, Sara de la Salle, Sebastian Olbrich, Tobias Welt, M. de Bardeci, Verner Knott, Cheng Teng-Ip, Martin Brunovsky, Pierre Blier
article en

Abstract

These findings underscore the clinical potential of EEG-based DL models for stratified treatment in MDD, facilitating accurate therapy choices and reducing ineffective treatments. The results of the integration of objective neurophysiological markers into clinical psychiatry are indicating the potential for more personalized treatment allocation.

Communications MedicineVol. 6(1)
University of Ottawa (CA), University of Zurich (CH), University of Macau (MO), Royal Ottawa Mental Health Centre (CA), University Hospital of Zurich (CH), National Institute of Mental Health (JP), National Institute of Mental Health (CZ)
Openalex Percentile: Top 16%
EEG and Brain-Computer Interfaces
DOIOpen Access PDFOpenAlex
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Deep learning using electroencephalogram (EEG) data for diagnosing and predicting SSRI response in major depressive disorder — Natalia Jaworska, Sara de la Salle, et al. · Communications Medicine (2026) | TGRS Research Map | TGRS