Online prediction of optimal deep brain stimulation contacts from local field potentials in Parkinson’s disease
Selecting optimal contacts for chronic deep-brain stimulation (DBS) requires a monopolar review, involving time-consuming manual testing by trained personnel, often causing patient discomfort. Neural biomarkers, such as local field potentials (LFP), could streamline this process. This study aimed to validate LFP recordings from chronically implanted neurostimulators for guiding clinical contact-level selection. We retrospectively analysed bipolar LFP recordings from Parkinson's disease patients across three centres (Netherlands: 68, Switzerland: 21, Germany: 32). Using beta-band power measures (13-35 Hz), we ranked channels based on clinical contact-level choices and developed two prediction algorithms: (i) a "decision tree" method for in-clinic use and (ii) a "pattern based" method for offline validation. The "decision tree" method achieved accuracies of 86.5% (NL), 86.7% (CH), and 75.0% (DE) for predicting the top two contact-levels. Both methods outperformed an existing algorithm. These findings suggest LFP-based approaches can enhance DBS programming efficiency, potentially reducing patient burden and clinical workload.
Authors
- Maria Fiorella Contarino (ORCID: https://orcid.org/0000-0002-0312-184X)
- C.F.E. Hoffmann
- Ibrahem Hanafi (ORCID: https://orcid.org/0000-0001-5306-0128)
- Niels A. van der Gaag (ORCID: https://orcid.org/0000-0001-8086-9870)
- Jocelyne Bloch (ORCID: https://orcid.org/0000-0002-6405-1590)
- Mayté Castro Jiménez (ORCID: https://orcid.org/0000-0003-4165-4804)
- Chiara Palmisano (ORCID: https://orcid.org/0000-0002-9073-6462)
- Rodi Zutt
- Ioannis U. Isaias (ORCID: https://orcid.org/0000-0002-3552-5144)
- Camille Varescon
- Stefano Scafa
- Philipp Capetian (ORCID: https://orcid.org/0000-0003-1712-3659)
- Saskia van der Gaag
- Eduardo Martin Moraud (ORCID: https://orcid.org/0000-0002-6148-7065)
- Julien F. Bally (ORCID: https://orcid.org/0000-0002-0970-8844)
- Marjolein Muller (ORCID: https://orcid.org/0000-0002-0944-8069)
Institutions
- University of Applied Sciences and Arts of Southern Switzerland (CH)
- University of Würzburg (DE)
- Leiden University Medical Center (NL)
- Centre Hospitalier Universitaire Vaudois (CH)
- Medisch Centrum Haaglanden (NL)
- Istituto Ortopedico Gaetano Pini (IT)
- Universitätsklinikum Würzburg (DE)
- Haga Hospital (NL)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- npj Parkinson s Disease
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1038/s41531-025-01092-y
- Citations
- 6
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 8.34
Funders
- York University
- European Commission
- Deutscher Akademischer Austauschdienst
- Deutsche Forschungsgemeinschaft
- Fondazione Europea Ricerca Biomedica
- School of Medicine, New York University
- HORIZON EUROPE Framework Programme
- HORIZON EUROPE European Innovation Council