Local Field Potential Recordings Using a Deep Brain Stimulation Device: An Open-Source Signal Processing Pipeline
Local Field Potential Recordings Using a Deep Brain Stimulation Device: An Open-Source Signal Processing Pipeline
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Publication status: preprint
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Original abstract
Abstract Deep brain stimulation (DBS) systems with electrophysiological recording capabilities offer a unique opportunity to chronically record local field potentials (LFP) from implanted electrodes, enabling real-time monitoring of subcortical neural dynamics and the development of adaptive neuromodulation strategies. However, translating raw LFP into clinically relevant biomarkers remains challenging due to a lack of standardized, accessible tools. To address this, we present BrainWave-DBS, an open-source signal processing pipeline designed to support clinicians and researchers working with patient-derived LFP data. The pipeline covers data import, preprocessing, spectral analysis, and visualization, offering a reproducible framework for LFP analysis. Furthermore, we demonstrate the functionality of the pipeline using a representative Parkinson’s disease dataset and highlight key technical insights gained through this work. By improving access to neural signal acquisition and analysis, our goal is to foster broader adoption of this technology, which we believe will advance closed-loop neuromodulation of deep brain structures.