An Update on Adaptive Deep Brain stimulation in Parkinson's Disease

Jeroen G. V. Habets, Margot Heijmans, Mark L. Kuijf, Marcus L. F. Janssen, Yasin Temel, Pieter L. Kubben*

*Corresponding author for this work

Research output: Contribution to journal(Systematic) Review article peer-review

Abstract

Advancing conventional open-loop DBS as a therapy for PD is crucial for overcoming important issues such as the delicate balance between beneficial and adverse effects and limited battery longevity that are currently associated with treatment. Closed-loop or adaptive DBS aims to overcome these limitations by real-time adjustment of stimulation parameters based on continuous feedback input signals that are representative of the patient's clinical state. The focus of this update is to discuss the most recent developments regarding potential input signals and possible stimulation parameter modulation for adaptive DBS in PD. Potential input signals for adaptive DBS include basal ganglia local field potentials, cortical recordings (electrocorticography), wearable sensors, and eHealth and mHealth devices. Furthermore, adaptive DBS can be applied with different approaches of stimulation parameter modulation, the feasibility of which can be adapted depending on specific PD phenotypes. Implementation of technological developments like machine learning show potential in the design of such approaches; however, energy consumption deserves further attention. Furthermore, we discuss future considerations regarding the clinical implementation of adaptive DBS in PD. (c) 2018 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Original languageEnglish
Pages (from-to)1834-1843
Number of pages10
JournalMovement Disorders
Volume33
Issue number12
DOIs
Publication statusPublished - Dec 2018

Keywords

  • adaptive
  • closed-loop
  • deep brain stimulation
  • Parkinson's disease
  • stimulation paradigms
  • VARIABLE FREQUENCY STIMULATION
  • BILATERAL SUBTHALAMIC NUCLEUS
  • OSCILLATORY ACTIVITY
  • WEARABLE TECHNOLOGY
  • BETA OSCILLATIONS
  • CONTROL-SYSTEM
  • REST TREMOR
  • LOOP
  • MOTOR
  • BRADYKINESIA

Fingerprint

Dive into the research topics of 'An Update on Adaptive Deep Brain stimulation in Parkinson's Disease'. Together they form a unique fingerprint.

Cite this