Influences of interpolation error, electrode geometry, and the electrode-tissue interface on models of electric fields produced by deep brain stimulation.

Howell, Bryan

Naik, Sagar

Grill, Warren M

2021-09-28T18:54:53Z

2021-09-28T18:54:53Z

2014-02

2021-09-28T18:54:52Z

Deep brain stimulation (DBS) is an established therapy for movement disorders, but the fundamental mechanisms by which DBS has its effects remain unknown. Computational models can provide insights into the mechanisms of DBS, but to be useful, the models must have sufficient detail to predict accurately the electric fields produced by DBS. We used a finite-element method model of the Medtronic 3387 electrode array, coupled to cable models of myelinated axons, to quantify how interpolation errors, electrode geometry, and the electrode-tissue interface affect calculation of electrical potentials and stimulation thresholds for populations of model nerve fibers. Convergence of the potentials was not a sufficient criterion for ensuring the same degree of accuracy in subsequent determination of stimulation thresholds, because the accuracy of the stimulation thresholds depended on the order of the elements. Simplifying the 3387 electrode array by ignoring the inactive contacts and extending the terminated end of the shaft had position-dependent effects on the potentials and excitation thresholds, and these simplifications may impact correlations between DBS parameters and clinical outcomes. When the current density in the bulk tissue is uniform, the effect of the electrode-tissue interface impedance could be approximated by filtering the potentials calculated with a static lumped electrical equivalent circuit. Further, for typical DBS parameters during voltage-regulated stimulation, it was valid to approximate the electrode as an ideal polarized electrode with a nonlinear capacitance. Validation of these computational considerations enables accurate modeling of the electric field produced by DBS.

0018-9294

1558-2531

https://hdl.handle.net/10161/23857

eng

Institute of Electrical and Electronics Engineers (IEEE)

IEEE transactions on bio-medical engineering

10.1109/tbme.2013.2292025

Humans

Deep Brain Stimulation

Electrodes

Biomedical Engineering

Finite Element Analysis

Models, Neurological

Influences of interpolation error, electrode geometry, and the electrode-tissue interface on models of electric fields produced by deep brain stimulation.

Journal article

Howell, Bryan|0000-0002-3329-8478

297

307

2

Pratt School of Engineering

Biomedical Engineering

Electrical and Computer Engineering

Neurobiology

Duke Science & Society

Duke Institute for Brain Sciences

Neurosurgery

Duke

Basic Science Departments

School of Medicine

Initiatives

Institutes and Provost's Academic Units

University Institutes and Centers

Clinical Science Departments

Published

61