Quantifying facial affect changes in psychotic disorders with machine learning
These findings demonstrate that facial affect changes in psychotic disorders are multi-faceted, involving static and dynamic changes. Quantification of disorder-specific facial changes using machine learning may point to avenues for improved diagnostic differentiation and treatment monitoring of negative symptoms.
Authors
- Jayson Jeganathan (ORCID: https://orcid.org/0000-0003-4175-918X)
- Michael Breakspear (ORCID: https://orcid.org/0000-0003-4943-3969)
- Renate Thienel (ORCID: https://orcid.org/0000-0003-0381-7828)
Institutions
- Hunter Medical Research Institute (AU)
- University of Newcastle Australia (AU)
Publication Details
- Journal
- Psychiatry Research
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1016/j.psychres.2025.116768
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.00