Evaluation of DBS computational modeling methodologies using in-vivo electrophysiology in Parkinson's disease
The choice of methodology should depend on the specific application and the required level of precision for the intended analysis. However, model parameters should be optimized to accurately predict known experimental activation measures.
Authors
- Enrico Opri
- Faiçal Isbaine (ORCID: https://orcid.org/0000-0002-4159-420X)
- Seyyed Bahram Borgheai (ORCID: https://orcid.org/0000-0002-3164-6440)
- Benjamin B. Risk (ORCID: https://orcid.org/0000-0003-1090-0777)
- Bryan Lad Howell (ORCID: https://orcid.org/0000-0002-3329-8478)
- Angela M. Noecker (ORCID: https://orcid.org/0000-0001-5833-4263)
- Svjetlana Miocinovic (ORCID: https://orcid.org/0000-0001-9237-0276)
- Cameron C. McIntyre (ORCID: https://orcid.org/0000-0003-0932-854X)
Institutions
- Emory University (US)
- Duke University (US)
- University of Michigan (US)
Publication Details
- Journal
- Brain stimulation
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1016/j.brs.2025.10.022
- Citations
- 3
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.17
Funders
- National Institutes of Health
- University of California, San Francisco