A spectral element method with adaptive segmentation for accurately simulating extracellular electrical stimulation of neurons.
The capacity to quickly and accurately simulate extracellular stimulation of neurons is essential to the design of next-generation neural prostheses. Existing platforms for simulating neurons are largely based on finite-difference techniques; due to the complex geometries involved, the more powerful...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 5; pp. 823 - 832 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123106928&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123106928 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: May2017 vid: 55 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 123106928 123106928 144160000 NLM27541303 10.1007/s11517-016-1558-x NLM27541303 123106928 ppf: 823 ppct: 9 formats: fmt: @attributes: type: P tig: atl: A spectral element method with adaptive segmentation for accurately simulating extracellular electrical stimulation of neurons. aug: au: Eiber, Calvin Dokos, Socrates Lovell, Nigel Suaning, Gregg Eiber, Calvin D Lovell, Nigel H Suaning, Gregg J affil: Graduate School of Biomedical Engineering , University of New South Wales , Sydney 2052 Australia sug: subj: Neurons Physiology Finite Element Analysis Action Potentials Physiology Nerve Fibers Physiology Electric Stimulation Methods Electrodes, Implanted Models, Biological Computer Simulation ab: The capacity to quickly and accurately simulate extracellular stimulation of neurons is essential to the design of next-generation neural prostheses. Existing platforms for simulating neurons are largely based on finite-difference techniques; due to the complex geometries involved, the more powerful spectral or differential quadrature techniques cannot be applied directly. This paper presents a mathematical basis for the application of a spectral element method to the problem of simulating the extracellular stimulation of retinal neurons, which is readily extensible to neural fibers of any kind. The activating function formalism is extended to arbitrary neuron geometries, and a segmentation method to guarantee an appropriate choice of collocation points is presented. Differential quadrature may then be applied to efficiently solve the resulting cable equations. The capacity for this model to simulate action potentials propagating through branching structures and to predict minimum extracellular stimulation thresholds for individual neurons is demonstrated. The presented model is validated against published values for extracellular stimulation threshold and conduction velocity for realistic physiological parameter values. This model suggests that convoluted axon geometries are more readily activated by extracellular stimulation than linear axon geometries, which may have ramifications for the design of neural prostheses. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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