Evidence map›Paper›PMID 42366242›Full record

ArticleBrain topography2026

Local Field Potential Recordings Using Deep Brain Stimulation: A Practical Workflow and Open-Source Signal Processing Pipeline.

Albert Guillemette, Marc-Antoine Gobeil, Adan-Ulises Dominguez-Vargas, Meziane Silhadi, David Bergeron, Ryan Vogt, Narges Moradi, Farbod Niazi, Alexander Gregory Weil, Aristides Hadjinicolaou and 6 more

Abstract read
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In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Albert GuillemetteDépartement de Pharmacologie et Physiologie, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.ORCID http://orcid.org/0000-0002-7149-5202
Marc-Antoine GobeilDépartement de Médecine, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.
Adan-Ulises Dominguez-VargasInstitut Courtois d'Innovation Biomédicale (CI 2 B), Université de Montréal, Montreal, Qc, Canada.
Meziane SilhadiDépartement de Médecine, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.
David BergeronDépartement de Médecine, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.
Ryan VogtInstitut Courtois d'Innovation Biomédicale (CI 2 B), Université de Montréal, Montreal, Qc, Canada.
Narges MoradiInstitut Courtois d'Innovation Biomédicale (CI 2 B), Université de Montréal, Montreal, Qc, Canada.
Farbod NiaziDépartement de Médecine, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.
Alexander Gregory WeilDépartement de Neurosciences, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.
Aristides HadjinicolaouDépartement de Neurosciences, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada.
Sami ObaidAxe neurosciences, Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Qc, Canada.
Elie Bou AssiAxe neurosciences, Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Qc, Canada.
Nicolas JodoinAxe neurosciences, Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Qc, Canada.
Christian Iorio-MorinDivision de neurochirurgie, Département de Chirurgie, Université de Sherbrooke, Sherbrooke, Qc, Canada.
Numa Dancause *Département de Pharmacologie et Physiologie, Faculté de Médecine, Université de Montréal, Montreal, Qc, Canada. numa.dancause@umontreal.ca.ORCID http://orcid.org/0000-0002-0424-9730
Marie-Pierre Fournier-Gosselin *Axe neurosciences, Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Qc, Canada. marie-pierre.fournier-gosselin@umontreal.ca.ORCID http://orcid.org/0000-0001-7326-0901

Funding

Center for Interdisciplinary Research on Brain and Learning (CIRCA) FEG00105
6 · The paper itself

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 numerous technical considerations. To address this, we share both a practical guide for conducting LFP experiments and BrainWave-DBS, an open-source pipeline that implements the workflow and supports analysis of 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 could advance closed-loop neuromodulation of deep brain structures.

Indexed as

BrainDeep Brain StimulationLocal Field Potential MeasurementSignal Processing, Computer-AssistedElectrodes, ImplantedHumansParkinson DiseaseWorkflowClosed loopDeep Brain StimulationLocal Field PotentialsParkinson’s DiseaseSignal Processing

Identifiers

PMID42366242

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.