DocumentCode
3002270
Title
Modeling the response of small myelinated and unmyelinated axons to kilohertz frequency signals
Author
Pelot, Nicole A. ; Behrend, Christina E. ; Grill, Warren M.
Author_Institution
Dept. of Biomed. Eng., Duke Univ., Durham, NC, USA
fYear
2015
fDate
22-24 April 2015
Firstpage
406
Lastpage
409
Abstract
The effects of kilohertz frequency signals on action potential conduction in small myelinated (1 to 5.7 μm diameter) and unmyelinated axons are poorly understood, but could have important therapeutic applications. We developed a finite element model of a compound peripheral nerve and quantified the effects of a 5 kHz signal delivered via cuff electrode on conduction in small myelinated and unmyelinated axons. We compared the results from this realistic model to responses to the same signal delivered by an extracellular point source in a homogeneous isotropic extracellular medium. Using typical clinical parameters, the primary effect of the 5 kHz signal was excitation of the 5.7 μm diameter myelinated fibers in both models. The unmyelinated fibers were mostly unaffected by the applied signal. Axonal conduction block occurred only for certain parameter sets in the 5.7 μm diameter myelinated fibers. Our model reveals the complexity of possible responses to kilohertz frequency signals, and suggests that mechanisms of therapeutic efficacy other than conduction block need to be considered. A better understanding of the effects of kilohertz frequency signals is needed to inform clinical parameter selection for electrical devices targeting conduction block in small fibers.
Keywords
bioelectric potentials; finite element analysis; neurophysiology; action potential conduction; axonal conduction block; clinical parameters; compound peripheral nerve; electrical devices; extracellular point source; finite element model; homogeneous isotropic extracellular medium; kilohertz frequency signals; myelinated fibers; small myelinated axons; therapeutic applications; unmyelinated axons; unmyelinated fibers; Computational modeling; Electric potential; Electrodes; Extracellular; Finite element analysis; Nerve fibers; Optical fiber devices;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location
Montpellier
Type
conf
DOI
10.1109/NER.2015.7146645
Filename
7146645
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