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- Title
Sensing data and methodology from the Adaptive DBS Algorithm for Personalized Therapy in Parkinson's Disease (ADAPT-PD) clinical trial.
- Authors
Stanslaski, Scott; Summers, Rebekah L. S.; Tonder, Lisa; Tan, Ye; Case, Michelle; Raike, Robert S.; Morelli, Nathan; Herrington, Todd M.; Beudel, Martijn; Ostrem, Jill L.; Little, Simon; Almeida, Leonardo; Ramirez-Zamora, Adolfo; Fasano, Alfonso; Hassell, Travis; Mitchell, Kyle T.; Moro, Elena; Gostkowski, Michal; Sarangmat, Nagaraja; 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 Parkinson's 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.
- Publication
NPJ Parkinson's Disease, 2024, Vol 10, Issue 1, p1
- ISSN
2373-8057
- Publication type
Article
- DOI
10.1038/s41531-024-00772-5