Bayesian optimization to tune DBS for better gait in Parkinson’s patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This early-phase study explores whether Bayesian optimization can efficiently identify DBS settings that improve gait by lengthening step length. Participants have Parkinson's disease with STN or GP DBS implanted for at least three months. They will experience DBS settings that are within FDA-approved ranges but differ from their usual settings, guided by the optimization algorithm and evaluated during treadmill walking. Step length measurements feed back into the algorithm to refine the next test setting, with roughly 30 settings tested to approach an optimal configuration.

Why it matters

Who can join: the full rules

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 it's running

• University of Minnesota
  Minneapolis, Minnesota, United States Recruiting

Study contacts

• Principal investigator: Scott Cooper, MD, PhD — University of Minnesota
• Study coordinator: Johanna Caskey, BA
• Email: caske039@umn.edu
• Phone: 763-353-9470

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.