DocumentCode
1248465
Title
Thresholds for Transverse Stimulation: Fiber Bundles in a Uniform Field
Author
Pourtaheri, Navid ; Ying, Wenjun ; Kim, Jong M. ; Henriquez, Craig S.
Author_Institution
Dept. of Biomed. Eng., Duke Univ., Durham, NC, USA
Volume
17
Issue
5
fYear
2009
Firstpage
478
Lastpage
486
Abstract
Cable theory is used to model fibers (neural or muscular) subjected to an extracellular stimulus or activating function along the fiber (longitudinal stimulation). There are cases however, in which activation from fields across a fiber (transverse stimulation) is dominant and the activating function is insufficient to predict the relative stimulus thresholds for cells in a bundle. This work proposes a general method of quantifying transverse extracellular stimulation using ideal cases of long fibers oriented perpendicular to a uniform field (circular cells in a 2-D extracellular domain). Several methods are compared against a fully coupled model to compute electrical potentials around each cell of a bundle and predict the magnitude of applied plate potential (Phip) needed to activate a given cell (Phipact). The results show that with transverse stimulation, the effect of cell presence on the external field must be considered to accurately compute Phipact. They also show that approximating cells as holes can accurately predict firing order and Phipact of cells in bundles. Potential profiles from this hole model can also be applied to single cell models to account for time-dependent transmembrane voltage responses and more accurately predict Phipact. The approaches used herein apply to other examples of transverse cell stimulation where cable theory is inapplicable and coupled model simulation is too costly to compute.
Keywords
bioelectric potentials; biomembranes; cellular biophysics; neuromuscular stimulation; 2D extracellular domain; applied plate potential; cable theory; cell model; coupled model simulation; electrical potential; fiber bundles; time-dependent transmembrane voltage response; transverse extracellular stimulation; Biomedical engineering; Computational modeling; Electric potential; Electrical stimulation; Electrodes; Extracellular; Optical fiber cables; Optical fiber theory; Predictive models; Voltage; Axon bundle; electrical stimulation; excitable fiber; stimulus threshold; uniform field; Animals; Axons; Computer Simulation; Differential Threshold; Electric Stimulation; Electromagnetic Fields; Humans; Models, Neurological; Nerve Fibers;
fLanguage
English
Journal_Title
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1534-4320
Type
jour
DOI
10.1109/TNSRE.2009.2033424
Filename
5308701
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