Bayesian Optimization of DBS for Gait
NCT07835308
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
Summary
This project aims to establish the feasibility of Bayesian optimization for tuning deep brain stimulation (DBS) to treat gait symptoms in Parkinson's disease (PD) patients. Our primary question is: Can Bayesian optimization of DBS achieve reproducible results within a feasible number of gait measurements? PD patients will be enrolled who have DBS of the subthalamic nucleus (STN) or globus pallidus (GP) in whom at least 3 months have passed since activation of their neurostimulators, for stabilization of clinical stimulator settings.
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Parkinson Disease (PD)
Eligibility basics and study details
- Study type
- Interventional
- Phase
- Early Phase 1
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Sponsor
- University of Minnesota
- Last updated on ClinicalTrials.gov
- September 28, 2026
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
Minnesota · 1
- University of Minnesota · Minneapolis, MN
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.