Functional Connectivity and Volumetrics Improve Outcome Prediction for Deep Brain Stimulation in Parkinson's Disease
Including MRI-based predictors significantly enhances the prediction of motor outcomes in STN DBS compared to levodopa response alone, with FC predictors demonstrating the greatest influence in the optimized model. External validation studies are necessary to confirm the clinical utility of these predictors in routine practice.
Authors
- Joel S. Perlmutter (ORCID: https://orcid.org/0000-0003-3263-8917)
- Mwiza Ushe
- Scott A. Norris (ORCID: https://orcid.org/0000-0002-3835-0976)
- John R. Younce (ORCID: https://orcid.org/0000-0003-4822-9608)
Institutions
- University of North Carolina at Chapel Hill (US)
- Washington University in St. Louis (US)
Publication Details
- Journal
- Movement Disorders Clinical Practice
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1002/mdc3.70108
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American Parkinson Disease Association
- National Institutes of Health