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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.
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.
Type
Journal articleSubject
HumansDeep Brain Stimulation
Electrodes
Biomedical Engineering
Finite Element Analysis
Models, Neurological
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https://hdl.handle.net/10161/23857Published Version (Please cite this version)
10.1109/tbme.2013.2292025Publication Info
Howell, Bryan; Naik, Sagar; & Grill, Warren M (2014). Influences of interpolation error, electrode geometry, and the electrode-tissue interface
on models of electric fields produced by deep brain stimulation. IEEE transactions on bio-medical engineering, 61(2). pp. 297-307. 10.1109/tbme.2013.2292025. Retrieved from https://hdl.handle.net/10161/23857.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Warren M. Grill
Edmund T. Pratt, Jr. School Distinguished Professor of Biomedical Engineering
Our research employs engineering approaches to understand and control neural function.
We work on fundamental questions and applied development in electrical stimulation
of the nervous system to restore function to individuals with neurological impairment
or injury.
Current projects include:• understanding the mechanisms of and developing advanced
approaches to deep brain stimulation to treat movement disorders, • developing
novel approaches to peripheral nerve e
Bryan Howell
Assistant Research Professor in the Department of Biomedical Engineering
My lab studies implantable and wearable devices for treating neurological impairment,
namely with deep brain stimulation (DBS) and transcranial electrical stimulation (tES).
Projects evolve through theoretical and preclinical stages of development, combining
biophysical and dynamic causal modeling, medical imaging, and device prototyping,
to test new concepts and strategies for these neurotechnologies. Noninvasive studies
on tES are conducted in tissue phantoms and healthy human subjects in-hous
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