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Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Therapeutic maps for a sensor-based evaluation of deep brain stimulation programming.

Rene Peter Bremm^1,2, Christophe Berthold¹, Rejko Krüger³

¹National Department of Neurosurgery, Centre Hospitalier de Luxembourg, Luxembourg (City), Luxembourg.

Biomedizinische Technik. Biomedical Engineering

|November 2, 2021

Summary

This summary is machine-generated.

This study introduces therapeutic maps to visualize deep brain stimulation (DBS) programming for multiple sclerosis (MS) tremor. These maps aid clinicians in making more objective decisions for DBS settings, improving patient care.

Keywords:

accelerometers deep brain stimulation multiple sclerosis short-time Fourier transform tremor

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Area of Science:

Neuroscience
Biomedical Engineering

Background:

Deep brain stimulation (DBS) programming is complex for advanced motor symptoms in multiple sclerosis (MS).
Wearable sensors can detect intention tremor in MS, but visualization methods for DBS parameter response are lacking.

Purpose of the Study:

To develop a novel method for visualizing deep brain stimulation (DBS) parameter effects on tremor in multiple sclerosis (MS) patients.
To create therapeutic maps for a systematic review of DBS programming.

Main Methods:

Quantified intention tremor using acceleration amplitude and frequency during DBS programming sessions.
Developed therapeutic maps visualizing tremor power, clinical scores, energy delivery, and side effects.

Main Results:

Successfully quantified intention tremor in MS patients during DBS programming.
Generated therapeutic maps integrating multiple data points for DBS parameter assessment.

Conclusions:

Therapeutic maps offer a novel visualization tool for DBS programming in MS.
This approach can lead to standardized, objective decisions for DBS settings and aid future research.