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

dc.contributor.author Howell, Bryan
dc.contributor.author Naik, Sagar
dc.contributor.author Grill, Warren M
dc.date.accessioned 2021-09-28T18:54:53Z
dc.date.available 2021-09-28T18:54:53Z
dc.date.issued 2014-02
dc.identifier.issn 0018-9294
dc.identifier.issn 1558-2531
dc.identifier.uri https://hdl.handle.net/10161/23857
dc.description.abstract 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.
dc.language eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof IEEE transactions on bio-medical engineering
dc.relation.isversionof 10.1109/tbme.2013.2292025
dc.subject Humans
dc.subject Deep Brain Stimulation
dc.subject Electrodes
dc.subject Biomedical Engineering
dc.subject Finite Element Analysis
dc.subject Models, Neurological
dc.title Influences of interpolation error, electrode geometry, and the electrode-tissue interface on models of electric fields produced by deep brain stimulation.
dc.type Journal article
duke.contributor.id Howell, Bryan|0503702
duke.contributor.id Grill, Warren M|0315993
dc.date.updated 2021-09-28T18:54:52Z
pubs.begin-page 297
pubs.end-page 307
pubs.issue 2
pubs.organisational-group Pratt School of Engineering
pubs.organisational-group Biomedical Engineering
pubs.organisational-group Electrical and Computer Engineering
pubs.organisational-group Neurobiology
pubs.organisational-group Duke Science & Society
pubs.organisational-group Duke Institute for Brain Sciences
pubs.organisational-group Neurosurgery
pubs.organisational-group Duke
pubs.organisational-group Basic Science Departments
pubs.organisational-group School of Medicine
pubs.organisational-group Initiatives
pubs.organisational-group Institutes and Provost's Academic Units
pubs.organisational-group University Institutes and Centers
pubs.organisational-group Clinical Science Departments
pubs.publication-status Published
pubs.volume 61
duke.contributor.orcid Howell, Bryan|0000-0002-3329-8478


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