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Local Field Potential-Based Programming: A Proof-of-Concept Pilot Study.

Alfonso Fasano1, Carolina Gorodetsky2, Darcia Paul3

  • 1Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, UHN, Toronto, ON, Canada; Division of Neurology, University of Toronto, Toronto, ON, Canada; Krembil Brain Institute, University Health Network, Toronto, ON, Canada; Center for Advancing Neurotechnological Innovation to Application (CRANIA), Toronto, ON, Canada; KITE, University Health Network, Toronto, ON, Canada.

Neuromodulation : Journal of the International Neuromodulation Society
|February 7, 2022
PubMed
Summary
This summary is machine-generated.

Local field potential (LFP)-based programming streamlines deep brain stimulation (DBS) for conditions with delayed benefits. This pilot study shows LFP monitoring effectively guides DBS adjustments in dystonia and epilepsy patients.

Keywords:
Deep brain stimulationlocal field potentialneuromodulationperceptprogramming

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Area of Science:

  • Neuroscience
  • Biomedical Engineering

Background:

  • Deep brain stimulation (DBS) programming is often trial-and-error, especially for conditions with delayed clinical response.
  • Current programming strategies are limited and primarily focus on Parkinson's disease.

Purpose of the Study:

  • To demonstrate the efficacy of local field potential (LFP)-based programming for DBS.
  • To streamline DBS programming for indications with delayed temporal onset of benefit.

Main Methods:

  • Utilized a commercial implantable pulse generator (IPG) capable of chronic LFP streaming and recording.
  • Programmed DBS in a pediatric patient with generalized dystonia and an adult with refractory epilepsy.

Main Results:

  • Identified specific LFP frequency peaks (e.g., 1.95 Hz delta range) correlated with symptom severity in dystonia.
  • Observed reduced LFP power at specific frequencies (2.93 Hz, 8.79 Hz) associated with seizure control in epilepsy.

Conclusions:

  • LFP-based programming offers a promising approach to optimize DBS settings.
  • This method can potentially reduce programming time and improve outcomes for complex DBS indications.