Advancing the Prediction and Understanding of Placebo Responses in Chronic Back Pain Using Large Language Models
This study paves the way for a deeper yet quantitative exploration of biopsychosocial phenomena through language, and to understand how they relate to treatment outcomes, namely placebo. In this case it highlights nuanced linguistic patterns linked to responder status, which tap into semantic dimensions such as "anxiety," "resignation," and "hope".
Authors
- Fani Neto (ORCID: https://orcid.org/0000-0002-2352-3336)
- Diogo A. P. Nunes (ORCID: https://orcid.org/0000-0002-6614-8556)
- Sara Berger (ORCID: https://orcid.org/0000-0002-7531-4421)
- A. Vania Apkarian (ORCID: https://orcid.org/0000-0002-9788-7458)
- Paulo Branco (ORCID: https://orcid.org/0000-0002-9425-046X)
- Joana Ferreira‐Gomes (ORCID: https://orcid.org/0000-0001-8498-6927)
- Guillermo Cecchi (ORCID: https://orcid.org/0000-0003-1013-8348)
- Dan Furrer
- David Martins de Matos (ORCID: https://orcid.org/0000-0001-8631-2870)
Institutions
- Northwestern University (US)
- IBM (United States) (US)
- Universidade do Porto (PT)
- Universidade Politécnica de Lisboa (PT)
- Institute for Systems Engineering and Computers (PT)
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
Publication Details
- Journal
- European Journal of Pain
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1002/ejp.70184
- Primary Topic
- Pain Management and Placebo Effect
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- Fundação para a Ciência e a Tecnologia