Abstract
Although deep brain stimulation (DBS) has been an established treatment for Parkinson's Disease (PD) for over 25 years, there are still limitations in terms of efficacy, side effects, and battery consumption. One of the reasons for this is that not only physiological, but also pathological neural activity, is suppressed while stimulating. For this reason, adaptive DBS (aDBS), stimulation that is only applied when pathological neural activity is present, might be of great value in treating PD. Although the first aDBS studies show an effect of adaptive stimulation on PD, there are still many questions to be answered before aDBS can be applied clinically. In the present chapter, an overview of the potential biomarkers and stimulation algorithms in adaptive stimulation in PD will be provided and a potential road-map toward clinical applicability will be sketched.
Original language | English |
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Title of host publication | Closed Loop Neuroscience |
Publisher | Elsevier Inc. |
Pages | 213-222 |
Number of pages | 10 |
ISBN (Electronic) | 9780128026410 |
ISBN (Print) | 9780128024522 |
DOIs | |
Publication status | Published - 29 Sept 2016 |
Keywords
- Adaptive stimulation
- Brain-computer interface
- Closed-loop
- Deep brain stimulation
- Neuromodulation
- On-demand
- Parkinson's Disease