Facial Expression and Predicting and Monitoring Response to Depression Treatment: A Systematic Review

Included studies were limited by heterogeneity in facial expression assessment tools and outcomes, along with demographic homogeneity. The findings of the review suggest that facial expression analysis may offer an avenue for biomarkers of depression status and treatment response prediction.

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Publication Details

Journal
Digital Biomarkers
Published
2026-01-08
DOI
https://doi.org/10.1159/000550413
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
0.00
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article

Facial Expression and Predicting and Monitoring Response to Depression Treatment: A Systematic Review

David Plevin, Scott R. Clark, K. Oliver Schubert, Simon Hartmann et al.
Digital Biomarkers
Treatment of Major Depression
article

Facial Expression and Predicting and Monitoring Response to Depression Treatment: A Systematic Review

David Plevin, Scott R. Clark, K. Oliver Schubert, Simon Hartmann, Leo Chen
article en

Abstract

Included studies were limited by heterogeneity in facial expression assessment tools and outcomes, along with demographic homogeneity. The findings of the review suggest that facial expression analysis may offer an avenue for biomarkers of depression status and treatment response prediction.

Digital BiomarkersVol. 10(1)
South Australia Pathology (AU), The University of Melbourne (AU), St Vincent's Hospital Melbourne (AU), The University of Adelaide (AU)
Good health and well-being
Openalex Percentile: Top 91%
Treatment of Major Depression
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