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Related Experiment Video

Updated: Jun 19, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
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Emerging Techniques for the Personalization of Deep Brain Stimulation Programming.

Brendan Santyr1,2, Alexandre Boutet1,3, Afis Ajala4

  • 1Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.

The Canadian Journal of Neurological Sciences. Le Journal Canadien Des Sciences Neurologiques
|February 18, 2025
PubMed
Summary
This summary is machine-generated.

Personalizing deep brain stimulation (DBS) programming is crucial for effective treatment. Emerging methods like connectome-based, electrophysiology-guided, and fMRI-based approaches offer new ways to optimize DBS settings for individual patients.

Keywords:
DBSfMRIneuroimagingneuromodulation

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Neuroscience

Background:

  • Deep brain stimulation (DBS) success depends on precise therapeutic stimulation parameters.
  • Current empirical DBS programming is time-consuming and challenging, especially for conditions with delayed clinical feedback.
  • Increasing device complexity necessitates personalized stimulation parameter selection.

Purpose of the Study:

  • To review emerging imaging and electrophysiological methods for personalizing DBS programming.
  • To highlight techniques that move beyond traditional empirical testing.
  • To discuss approaches for optimizing DBS efficacy through individualized settings.

Main Methods:

  • Normative connectome-based stimulation: Using connectivity imaging to guide stimulation targets.
  • Electrophysiology-guided stimulation: Employing device-recorded biomarkers for parameter adjustment (open- and closed-loop).
  • Individual functional MRI (fMRI)-based approaches: Utilizing fMRI during stimulation to identify effective parameter patterns.

Main Results:

  • Each reviewed method offers unique insights into optimizing DBS.
  • Connectome-based approaches leverage network topology for targeting.
  • Electrophysiological and fMRI methods provide real-time or activity-dependent feedback for personalization.

Conclusions:

  • Personalized DBS programming is essential for maximizing treatment efficacy.
  • A combination of connectome-based, electrophysiology-guided, and fMRI-based methods may yield the best results.
  • These advanced techniques promise more tailored and effective DBS therapies.