Bayesian Optimization of DBS for Gait
- Parkinson Disease (PD)
At a glance
- Phase
- Early phase 1
- Study type
- Interventional
- Sponsor
- University of Minnesota
- Enrolment target
- 15
- Started
- December 2026
- Main results due
- March 2031
- Study sites
- 1
- Registry updated
- 28 September 2026
Can you take part?
- Aged 18 years and over.
- Open to any sex.
- You need the condition being studied — healthy volunteers are not accepted.
These are the headline rules only. Every study has a longer list, and whether you are eligible is decided by the research team at the site — never by this page.
Read the full eligibility criteria
Inclusion Criteria: * Diagnosis of Parkinson's Disease * DBS in STN or GP (bilateral or unilateral) * At least 3 months after lead implantation Exclusion Criteria: * Inability to walk in the off-med, off-stimulation condition (even with safety harness) * Gait impaired significantly by a condition other than PD, as determined by the PI * Breaks or shorts in active contacts * IPG battery nearing end of life (in patients with primary-cell IPGs) * Females who are nursing or pregnant * Diminished capacity to consent (concluded via UBACC)
What this study is about
In the sponsor’s own words, from the registry.
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. We will apply Bayesian optimization to derive DBS settings which maximally lengthen step length relative to the OFF DBS state.
Study sites(1)
University of Minnesota
Minneapolis, Minnesota, United States
Recruiting
Showing 1 of 1 sites. 1 of the 1 site on this study is recruiting right now — a site can stop enrolling while the study as a whole is still open.
Source: ClinicalTrials.gov record NCT07835308. Trialion does not run this study, is not paid to refer anyone to it, and cannot enrol you. Eligibility is always decided by the research team at the site.
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