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Sensing-Enabled Deep Brain Stimulation in Epilepsy.
- Source :
-
Neurosurgery clinics of North America [Neurosurg Clin N Am] 2024 Jan; Vol. 35 (1), pp. 119-123. Date of Electronic Publication: 2023 Sep 21. - Publication Year :
- 2024
-
Abstract
- Deep brain stimulation has demonstrated efficacy in reducing seizure frequency in patients with drug-resistant epilepsy who may otherwise not be candidates for other surgical procedures. Recently, a clinical device that can monitor neural activity in the form of local field potentials around the deep brain stimulator lead implant site has been introduced. While this technology has been clinically adopted in other disorders treated with deep brain stimulation, such as Parkinson's disease, its application in epilepsy remains unclear. Previous research using investigational devices has suggested that specific frequency bands may correlate with clinical response to deep brain stimulation in epilepsy, but features of the clinical device may prevent its use. The authors present their experience with using this technology in epilepsy patients and describe some of its limitations. Ultimately, novel biomarkers will need to be identified to elucidate how neural activity at deep brain stimulation sites may change with clinical response.<br />Competing Interests: Disclosure Dr R.E. Gross serves as a consultant to Medtronic, which manufactures products related to the research described in this article, and receives compensation for these services. Additionally, Dr R.E. Gross receives research support for clinical trials from Medtronic. The terms of these arrangements have been reviewed and approved by Emory University in accordance with conflict-of-interest policies. The other authors declare no conflicts of interested related to this article.<br /> (Copyright © 2023 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1558-1349
- Volume :
- 35
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Neurosurgery clinics of North America
- Publication Type :
- Academic Journal
- Accession number :
- 38000835
- Full Text :
- https://doi.org/10.1016/j.nec.2023.08.005