Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis
Our findings demonstrate that MS anxiety is substantially characterized by fear overgeneralization. The fact that a machine learning model trained to associate fMRI fear response patterns with fear ratings in HPs predicts fear ratings from fMRI data across MS groups using an MVPA cross-decoding approach suggests that generic fear processing mechanisms substantially contribute to anxiety in MS.
Authors
- Stefan M. Gold (ORCID: https://orcid.org/0000-0001-5188-4799)
- Michael Scheel (ORCID: https://orcid.org/0000-0002-3505-2914)
- Sofia Kirke Forslund (ORCID: https://orcid.org/0000-0003-4285-6993)
- Martin Weygandt (ORCID: https://orcid.org/0000-0001-9962-4582)
- Judith Bellmann–Strobl (ORCID: https://orcid.org/0000-0003-2615-1643)
- Lajos Markó (ORCID: https://orcid.org/0000-0003-1888-5575)
- Friedemann Paul (ORCID: https://orcid.org/0000-0002-6378-0070)
- Lil Meyer‐Arndt (ORCID: https://orcid.org/0000-0002-7909-020X)
- Stefan Hetzer (ORCID: https://orcid.org/0000-0002-1773-1518)
- Rebekka Rust (ORCID: https://orcid.org/0009-0004-9600-7342)
- Tanja Schmitz‐Hübsch (ORCID: https://orcid.org/0000-0003-4833-5937)
Institutions
- Universität Hamburg (DE)
- Max Delbrück Center (DE)
- Humboldt-Universität zu Berlin (DE)
- University Medical Center Hamburg-Eppendorf (DE)
- German Centre for Cardiovascular Research (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Institute of Neuroimmunology of the Slovak Academy of Sciences (SK)
- European Molecular Biology Laboratory (DE)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-08-09
- DOI
- https://doi.org/10.1038/s43856-025-01085-1
- Citations
- 1
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.47
Funders
- Bladder Cancer Advocacy Network
- Deutsche Forschungsgemeinschaft