University of Minnesota
Minneapolis, Minnesota, 55455, United States
Location status: Recruiting
Location contact
Johanna Caskey, BA
CONTACT
Scott Cooper, MD, PhD
PRINCIPAL_INVESTIGATOR
NCT Number: NCT07835308
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.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Early Phase 1
Minneapolis, Minnesota, 55455, United States
Location status: Recruiting
Johanna Caskey, BA
CONTACT
Scott Cooper, MD, PhD
PRINCIPAL_INVESTIGATOR
Patients will undergo on-label DBS for the treatment of Parkinson's disease, at stimulator settings different from their usual settings, but within the FDA-approved range for this indication, based on the output of the Bayesian optimization algorithm. Test settings will be evaluated by a brief period of walking on a treadmill which captures measurements of step length. The resulting step length will be provided to the algorithm to inform the next recommended test setting. This will be repeated approximately 30 times to reach putatively optimal DBS settings.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
DBS within FDA-approved limits and labeling for symptoms of PD
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.
Contact information is provided by the study sponsor or research team.
University of Minnesota
Other
Acronym: BOG DBS
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