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Although Deep Brain Stimulation (DBS) is an established treatment for Parkinson's disease (PD), there are still limitations in terms of effectivity, side-effects and battery consumption. One of the reasons for this may be that not only pathological but also physiological neural activity can be suppressed whilst stimulating. For this reason, adaptive DBS (aDBS), where stimulation is applied according to the level of pathological activity, might be advantageous. Initial studies of aDBS demonstrate effectiveness in PD, but there are still many questions to be answered before aDBS can be applied clinically. Here we discuss the feedback signals and stimulation algorithms involved in adaptive stimulation in PD and sketch a potential road-map towards clinical application.

Original publication

DOI

10.1016/j.parkreldis.2015.09.028

Type

Journal article

Journal

Parkinsonism Relat Disord

Publication Date

01/2016

Volume

22 Suppl 1

Pages

S123 - S126

Keywords

Brain-computer interface, Deep brain stimulation, Parkinson's disease, Animals, Brain-Computer Interfaces, Deep Brain Stimulation, Humans, Hypokinesia, Parkinson Disease, Subthalamic Nucleus, Tremor