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Updated: Nov 1, 2025

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
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CLOVER-DBS: Algorithm-Guided Deep Brain Stimulation-Programming Based on External Sensor Feedback Evaluated in a

Gregor R Wenzel1, Jan Roediger1,2, Christof Brücke1

  • 1Department of Neurology, Movement Disorders & Neuromodulation Section, Charité -University Medicine Berlin, Berlin, Germany.

Journal of Parkinson'S Disease
|June 21, 2021
PubMed
Summary
This summary is machine-generated.

Algorithm-guided deep brain stimulation (DBS) programming showed comparable motor symptom reduction to standard care in Parkinson's disease patients using the latest algorithm version. Further research is needed to optimize this approach for DBS therapy.

Keywords:
Deep brain stimulationParkinson’s diseasealgorithmdouble-blindsubthalamic nucleuswearable device feedback

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Medical Technology

Background:

  • Technological advancements in deep brain stimulation (DBS) increase programming complexity.
  • Streamlining DBS programming is crucial to leverage innovations like directional leads and independent current sources.

Purpose of the Study:

  • To evaluate the clinical effectiveness of algorithm-guided DBS programming using wearable sensor feedback compared to standard-of-care.
  • To assess the feasibility of algorithm-guided programming for optimizing DBS settings in Parkinson's disease.

Main Methods:

  • A prospective, randomized, crossover, double-blind study was conducted in two German DBS centers.
  • 23 Parkinson's disease patients with established DBS underwent programming with both algorithm-guided and standard-of-care methods.
  • Outcomes were assessed using the Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) and motion-sensor analysis.

Main Results:

  • Both algorithm-guided and standard-of-care DBS settings effectively reduced motor symptoms compared to the off-stimulation state.
  • Standard-of-care programming resulted in significantly greater UPDRS-III score reduction than algorithm-guided programming in the overall cohort.
  • A subgroup using the latest algorithm version demonstrated no significant difference in UPDRS-III scores between the two programming methods.
  • Algorithm-guided programming utilized active contacts with greater location variability and farther from optimal targets.

Conclusions:

  • Algorithm-guided DBS programming may offer a viable alternative to traditional methods, potentially simplifying the process and enabling broader application.
  • Further research and algorithm refinement are necessary to validate and enhance algorithm-guided DBS programming for clinical use.