From subthalamic local field potentials to the selection of chronic deep brain stimulation contacts in Parkinson's disease - A systematic review
Predicting the optimal stimulation contact based on LFP recordings is feasible and can improve DBS programming efficiency in PD. Single beta-band predictions show more promising results than non-beta-frequency features alone, but are outperformed by multi-feature predictions. Future research should further explore multi-feature predictions for optimal contact identification.
Authors
- Maria Fiorella Contarino (ORCID: https://orcid.org/0000-0002-0312-184X)
- C.F.E. Hoffmann
- Niels A. van der Gaag (ORCID: https://orcid.org/0000-0001-8086-9870)
- Alfred C. Schouten (ORCID: https://orcid.org/0000-0003-3149-6726)
- Rodi Zutt
- Saskia van der Gaag
- Marjolein Muller (ORCID: https://orcid.org/0000-0002-0944-8069)
- Mark F.C. van Leeuwen
Institutions
- Leiden University (NL)
- Leiden University Medical Center (NL)
- Erasmus MC (NL)
- Medisch Centrum Haaglanden (NL)
- Haga Hospital (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- Brain stimulation
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1016/j.brs.2025.08.004
- Citations
- 1
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- European Commission
- Leids Universitair Medisch Centrum
- HORIZON EUROPE Framework Programme