Comparison of beta peak detection algorithms for data-driven deep brain stimulation programming strategies in Parkinson's disease.

ABSTRACT: Oscillatory activity within the beta frequency range (13-30 Hz) serves as a Parkinson's disease biomarker for tailoring deep brain stimulation (DBS) treatments. Currently, identifying clinically relevant beta signals, specifically frequencies of peak amplitudes within the beta spectral band, is a subjective process. To inform potential strategies for objective clinical decision making, we assessed algorithms for identifying beta peaks and devised a standardized approach for both research and clinical applications. Employing a novel monopolar referencing strategy, we utilized a brain sensing device to measure beta peak power across distinct contacts along each DBS electrode implanted in the subthalamic nucleus. We then evaluated the accuracy of ten beta peak detection algorithms against a b

SUBMITTER: Baker SK 

PROVIDER: S-EPMC11315991 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature