NDLI: Fascicular Perineurium Thickness, Size, and Position Affect Model Predictions of Neural Excitation

Content Provider	IEEE Xplore Digital Library
Author	Grinberg, Y. Schiefer, M.A. Tyler, D.J. Gustafson, K.J.
Copyright Year	2001
Abstract	The number of applications using neural prosthetic interfaces is expanding. Computer models are a valuable tool to evaluate stimulation techniques and electrode designs. Although our understanding of neural anatomy has improved, its impact on the effects of neural stimulation is not well understood. This study evaluated the effects of fascicle perineurial thickness, diameter, and position on axonal excitation thresholds and population recruitment using finite element models and NEURON simulations. The perineurial thickness of human fascicles was found to be 3.0% plusmn 1.0% of the fascicle diameter. Increased perineurial thickness and fascicle diameter increased activation thresholds. The presence of a large neighboring fascicle caused a significant change in activation of a smaller target fascicle by as much as 80% plusmn 11% of the total axon population. Smaller fascicles were recruited at lower amplitudes than neighboring larger fascicles. These effects were further illustrated in a realistic model of a human femoral nerve surrounded by a nerve cuff electrode. The data suggest that fascicular selectivity is strongly dependent upon the anatomy of the nerve being stimulated. Therefore, accurate representations of nerve anatomy are required to develop more accurate computer models to evaluate and optimize nerve electrode designs for neural prosthesis applications.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	10
File Size	1393154
Starting Page	572
Ending Page	581
File Format	PDF
ISSN	15344320
Volume Number	16
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Predictive models Electrodes Anatomy Application software Prosthetics Recruitment Humans Finite element methods Neurons Nerve fibers neuroanatomy Computer models functional electrical stimulation nerve cuff electrode nerve fascicle
Content Type	Text
Resource Type	Article
Subject	Neuroscience Rehabilitation Internal Medicine Biomedical Engineering Computer Science Applications

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