Local Field Potential Recordings Using Deep Brain Stimulation: A Practical Workflow and Open-Source Signal Processing
Albert Guillemette1,2,3,4,5, Marc-Antoine Gobeil2,5, Adan-Ulises Dominguez-Vargas3,4,6
1Département de Pharmacologie et Physiologie, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.
Brain Topography
|June 28, 2026
Summary
This study introduces BrainWave-DBS, an open-source pipeline for analyzing local field potentials (LFP) from deep brain stimulation (DBS) systems. It simplifies LFP data processing for adaptive neuromodulation and Parkinson's disease research.
Area of Science:
- Neuroscience
- Biomedical Engineering
Background:
- Deep brain stimulation (DBS) systems can record local field potentials (LFP) for neural monitoring.
- Translating raw LFP data into clinical biomarkers is complex due to technical challenges.
Purpose of the Study:
- To provide a practical guide and an open-source pipeline (BrainWave-DBS) for LFP data analysis.
- To facilitate the development of adaptive neuromodulation strategies using chronic LFP recordings.
Main Methods:
- Developed BrainWave-DBS, an open-source pipeline for LFP data import, preprocessing, spectral analysis, and visualization.
- Created a practical guide for conducting LFP experiments.
- Validated the pipeline using a Parkinson's disease dataset.
Main Results:
- The BrainWave-DBS pipeline offers a reproducible framework for analyzing patient-derived LFP data.
- Key technical insights for LFP acquisition and analysis were identified.
- Demonstrated pipeline functionality with a Parkinson's disease dataset.
Conclusions:
- BrainWave-DBS enhances access to neural signal acquisition and analysis.
- The pipeline aims to foster broader adoption of LFP analysis for advanced neuromodulation.
- This work supports the advancement of closed-loop neuromodulation in deep brain structures.
