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Parkinsonism Relat Disord. 2016 Jan;22 Suppl 1:S123-6. doi: 10.1016/j.parkreldis.2015.09.028. Epub 2015 Sep 15.

Adaptive deep brain stimulation in Parkinson's disease.

Author information

1
Department of Neurology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
2
Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, OX3 9DU, UK; The Medical Research Council Brain Network Dynamics Unit at the University of Oxford, OX1 3TH, UK. Electronic address: peter.brown@ndcn.ox.ac.uk.

Abstract

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.

KEYWORDS:

Brain-computer interface; Deep brain stimulation; Parkinson's disease

PMID:
26411502
PMCID:
PMC4671979
DOI:
10.1016/j.parkreldis.2015.09.028
[Indexed for MEDLINE]
Free PMC Article

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