Bayesian Optimization of DBS for Gait

ClinicalTrials.gov ID: NCT07835308

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Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

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 identification

NCT ID: NCT07835308
Recruitment status: Recruiting
Study type: Interventional
Phase: Early Phase 1
Lead sponsor: University of Minnesota; Other
Enrollment: 15 participants

Conditions and interventions

Conditions

Parkinson Disease (PD)

Interventions

Deep Brain Stimulation Other

Other

Eligibility (public fields only)

Age range: 18 Years and older
Sex: All
Healthy volunteers: Healthy volunteers not accepted

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date: Dec 2026 (Estimated)
Primary completion: Mar 2031 (Estimated)
Completion: Mar 2033 (Estimated)
Last update posted: Sep 28, 2026

2026 – 2033

United States locations

U.S. sites: 1
U.S. states: 1
U.S. cities: 1

Facility	City	State	ZIP	Site status
University of Minnesota	Minneapolis	Minnesota	55455	Recruiting

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows: Public field values for ClinicalTrials.gov record NCT07835308, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do: No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from: Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh: Last update posted Sep 28, 2026 · Synced Nov 12, 2026