Adaptive deep brain stimulation: Retuning Parkinson's disease.
| Autor: | Pozzi NG; Department of Neurology, University Hospital Würzburg and Julius Maximilian University Würzburg, Würzburg, Germany., Isaias IU; Department of Neurology, University Hospital Würzburg and Julius Maximilian University Würzburg, Würzburg, Germany. Electronic address: isaias_i@ukw.de. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | Handbook of clinical neurology [Handb Clin Neurol] 2022; Vol. 184, pp. 273-284. |
| DOI: | 10.1016/B978-0-12-819410-2.00015-1 |
| Abstrakt: | A brain-machine interface represents a promising therapeutic avenue for the treatment of many neurologic conditions. Deep brain stimulation (DBS) is an invasive, neuro-modulatory tool that can improve different neurologic disorders by delivering electric stimulation to selected brain areas. DBS is particularly successful in advanced Parkinson's disease (PD), where it allows sustained improvement of motor symptoms. However, this approach is still poorly standardized, with variable clinical outcomes. To achieve an optimal therapeutic effect, novel adaptive DBS (aDBS) systems are being developed. These devices operate by adapting stimulation parameters in response to an input signal that can represent symptoms, motor activity, or other behavioral features. Emerging evidence suggests greater efficacy with fewer adverse effects during aDBS compared with conventional DBS. We address this topic by discussing the basics principles of aDBS, reviewing current evidence, and tackling the many challenges posed by aDBS for PD. Competing Interests: Competing interests The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2022 Elsevier B.V. All rights reserved.) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|