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

Journal of Visualized Experiments : JoVE
Andrew P Janson, Christopher R Butson

Abstract

Deep brain stimulation (DBS), which involves insertion of an electrode to deliver stimulation to a localized brain region, is an established therapy for movement disorders and is being applied to a growing number of disorders. Computational modeling has been successfully used to predict the clinical effects of DBS; however, there is a need for novel modeling techniques to keep pace with the growing complexity of DBS devices. These models also need to generate predictions quickly and accurately. The goal of this project is to develop an image processing pipeline to incorporate structural magnetic resonance imaging (MRI) and diffusion weighted imaging (DWI) into an interactive, patient specific model to simulate the effects of DBS. A virtual DBS lead can be placed inside of the patient model, along with active contacts and stimulation settings, where changes in lead position or orientation generate a new finite element mesh and solution of the bioelectric field problem in near real-time, a timespan of approximately 10 seconds. This system also enables the simulation of multiple leads in close proximity to allow for current steering by varying anodes and cathodes on different leads. The techniques presented in this paper reduce th...Continue Reading

Citations

Mar 3, 2020·Journal of Neural Engineering·Andrew P JansonChristopher R Butson

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Software Mentioned

FMRIB Software Library ( FSL )
CreateGeometricTransform
TransformMeshWithTransform
MapFieldDataFromSourceToDestination
Slicer
SolveLinearSystem
ApplyFEMVoltageSource
ReportFieldInfo
FreeSurfer
BuildFEMatrix

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