Predicting monopolar local field potential power from bipolar recordings in deep brain stimulation
This study demonstrates that monopolar LFP power can be accurately estimated from bipolar power using a linear regression model with strong generalizability across targets and validation sets. This approach offers a hardware-agnostic solution to spatially disambiguate signals and better inform DBS programming and adaptive stimulation in chronically implanted devices.
Authors
- Coralie de Hemptinne (ORCID: https://orcid.org/0000-0003-2780-3666)
- Chance Fleeting
- Kara A. Johnson (ORCID: https://orcid.org/0000-0001-6556-8957)
- Jackson N. Cagle (ORCID: https://orcid.org/0000-0002-1955-8050)
- Griffin Lamp
- Aysegul Gunduz
- Joshua Wong
Institutions
- University of Florida (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-03-16
- DOI
- https://doi.org/10.64898/2026.03.13.26348345
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Parkinson's Foundation
- National Institutes of Health