NCT07835308 · University of Minnesota
Bayesian Optimization of DBS for Gait
(BOG DBS)
What this study is about
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.
View original scientific description
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.
Interventions
OTHER
Deep Brain Stimulation
DBS within FDA-approved limits and labeling for symptoms of PD
Primary outcome measures
Gait Test
Time frame: This will be repeated approximately 30 times throughout the study visit (Day 1) on various DBS settings to reach putatively optimal DBS settings.
Subjects walk for one minute each on a treadmill set to match their individual overground walking speed. A forceplate measures the center of pressure trajectory from which integral software detects time and location of heel-strike and toe-off events. These events, and the treadmill speed, are used to compute step lengths.
Who can participate
This study lists these criteria on ClinicalTrials.gov. A study coordinator reviews eligibility during screening — this page does not determine whether you qualify.
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)
Where
- Minneapolis, Minnesota
Related conditions & keywords
Frequently asked questions
What is a clinical trial?
A clinical trial is a research study that tests new medical treatments, drugs, devices, or procedures to determine their safety and effectiveness. Trials are carefully designed and monitored to protect participants while advancing medical knowledge.
Is it safe to participate?
Clinical trials follow strict safety guidelines and ethical standards. Trials must be reviewed and approved, and participants are closely monitored by medical professionals throughout the study. You can withdraw at any time if you choose.
Will I be compensated?
Many clinical trials offer compensation for your time, travel expenses, and inconvenience. The specific compensation varies by study and will be discussed during the screening process. All study-related medical care is typically provided at no cost to participants.
Will I receive a placebo instead of treatment?
When effective treatment exists, participants typically receive either the standard treatment plus the study intervention, or the standard treatment plus placebo. You would not be denied effective care. Placebos are primarily used when no proven treatment is available, or in addition to standard care. Your trial consent form will clearly explain what treatments you may receive.
Can I leave a trial if I change my mind?
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How long does a clinical trial last?
Trial duration varies widely depending on the study design and purpose. Some trials last just a few weeks, while others may continue for months or years. The study coordinator will provide specific timeline information during your screening call.
Data: ClinicalTrials.gov · synced Sep 28, 2026 · Source of record for eligibility and locations