Sensing data and methodology from the Adaptive DBS Algorithm for Personalized Therapy in Parkinson’s Disease (ADAPT-PD) clinical trial

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 Percept<sup>TM</sup> 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.

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Publication Details

Journal
npj Parkinson s Disease
Published
2024-09-17
DOI
https://doi.org/10.1038/s41531-024-00772-5
Citations
89
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
32.85
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article

Sensing data and methodology from the Adaptive DBS Algorithm for Personalized Therapy in Parkinson’s Disease (ADAPT-PD) clinical trial

Kyle T. Mitchell, Michelle Case, Martijn Beudel, Jill L. Ostrem et al.
89 citations
npj Parkinson s Disease
Neurological disorders and treatments
32.85
article

Sensing data and methodology from the Adaptive DBS Algorithm for Personalized Therapy in Parkinson’s Disease (ADAPT-PD) clinical trial

Kyle T. Mitchell, Michelle Case, Martijn Beudel, Jill L. Ostrem, Nagaraja Sarangmat, Adolfo Ramirez–Zamora, Robert S. Raike, Todd M. Herrington, Scott R. Stanslaski, Elena Moro, Alfonso A. Fasano, Rebekah L. S. Summers, Leonardo Almeida, Simon J Little, Michal Gostkowski, Travis Hassell, Lisa Tonder, Helen M Bronte-Stewart, Ye Tan, Nathan Morelli
article en
89 citations

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 Percept<sup>TM</sup> 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.

npj Parkinson s DiseaseVol. 10(1)
University of Minnesota (US), Cleveland Clinic (US), UF Health Shands Hospital (US), Harvard University (US), Duke University (US), University of California, San Francisco (US), Toronto Western Hospital (CA), Centre Hospitalier Universitaire de Grenoble (FR), University of Florida Health (US), Massachusetts General Hospital (US), Medtronic (United States) (US), Oxford University Hospitals NHS Trust (GB), Grenoble Institute of Neurosciences (FR), Amsterdam University Medical Centers (NL), Duke University Hospital (US), Ontario Brain Institute (CA), Université Grenoble Alpes (FR), Vanderbilt University Medical Center (US), Stanford University (US)
Openalex Percentile: Top 0%
Neurological disorders and treatments
32.85
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