1. Sensing data and methodology from the Adaptive DBS Algorithm for Personalized Therapy in Parkinsons Disease (ADAPT-PD) clinical trial.
- Author
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Stanslaski, Scott, Summers, Rebekah, Tonder, Lisa, Tan, Ye, Case, Michelle, Raike, Robert, Morelli, Nathan, Herrington, Todd, Beudel, Martijn, Ostrem, Jill, Little, Simon, Almeida, Leonardo, Ramirez-Zamora, Adolfo, Fasano, Alfonso, Hassell, Travis, Mitchell, Kyle, Moro, Elena, Gostkowski, Michal, Sarangmat, Nagaraja, and Bronte-Stewart, Helen
- Abstract
Adaptive deep brain stimulation (aDBS) is an emerging advancement in DBS technology; however, local field potential (LFP) signal rate detection sufficient for aDBS algorithms and the methods to set-up aDBS have yet to be defined. Here we summarize sensing data and aDBS programming steps associated with the ongoing Adaptive DBS Algorithm for Personalized Therapy in Parkinsons Disease (ADAPT-PD) pivotal trial (NCT04547712). Sixty-eight patients were enrolled with either subthalamic nucleus or globus pallidus internus DBS leads connected to a Medtronic PerceptTM PC neurostimulator. During the enrollment and screening procedures, a LFP (8-30 Hz, ≥1.2 µVp) control signal was identified by clinicians in 84.8% of patients on medication (65% bilateral signal), and in 92% of patients off medication (78% bilateral signal). The ADAPT-PD trial sensing data indicate a high LFP signal presence in both on and off medication states of these patients, with bilateral signal in the majority, regardless of PD phenotype.
- Published
- 2024