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Adaptive deep brain stimulation in Parkinson's disease

  • M. Beudel
  • , P. Brown*
  • *Corresponding author for this work
  • University of Oxford

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)S123-S126
JournalParkinsonism and Related Disorders
Volume22
DOIs
Publication statusPublished - Jan 2016

Keywords

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

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