A method for analyzing the ERP associated with high frequency ANT DBS offset
The developed toolset reveals novel time-locked effects of high frequency ANT DBS on brain activity, which shows the future potential of sensor and source space analysis for DBS. The ERP findings might also prove useful in the optimization of epilepsy treatment with ANT DBS.
Authors
- Jukka Peltola (ORCID: https://orcid.org/0000-0002-4119-8063)
- Anna‐Liisa Satomaa (ORCID: https://orcid.org/0000-0002-3348-0173)
- Herkko Mattila
- Jari Hyttinen (ORCID: https://orcid.org/0000-0003-1850-3055)
- Sari‐Leena Himanen
- Kai Lehtimäki
Institutions
- Tampere University of Applied Sciences (FI)
- Tampere University (FI)
- Pirkanmaa Hospital District (FI)
- Tampere University Hospital (FI)
- Tampere University (FI)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.09.042
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00