Literature DB >> 23187045

Modeling extracellular electrical stimulation: I. Derivation and interpretation of neurite equations.

Hamish Meffin1, Bahman Tahayori, David B Grayden, Anthony N Burkitt.   

Abstract

Neuroprosthetic devices, such as cochlear and retinal implants, work by directly stimulating neurons with extracellular electrodes. This is commonly modeled using the cable equation with an applied extracellular voltage. In this paper a framework for modeling extracellular electrical stimulation is presented. To this end, a cylindrical neurite with confined extracellular space in the subthreshold regime is modeled in three-dimensional space. Through cylindrical harmonic expansion of Laplace's equation, we derive the spatio-temporal equations governing different modes of stimulation, referred to as longitudinal and transverse modes, under types of boundary conditions. The longitudinal mode is described by the well-known cable equation, however, the transverse modes are described by a novel ordinary differential equation. For the longitudinal mode, we find that different electrotonic length constants apply under the two different boundary conditions. Equations connecting current density to voltage boundary conditions are derived that are used to calculate the trans-impedance of the neurite-plus-thin-extracellular-sheath. A detailed explanation on depolarization mechanisms and the dominant current pathway under different modes of stimulation is provided. The analytic results derived here enable the estimation of a neurite's membrane potential under extracellular stimulation, hence bypassing the heavy computational cost of using numerical methods.

Mesh:

Year:  2012        PMID: 23187045     DOI: 10.1088/1741-2560/9/6/065005

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  11 in total

1.  On the parameters used in finite element modeling of compound peripheral nerves.

Authors:  Nicole A Pelot; Christina E Behrend; Warren M Grill
Journal:  J Neural Eng       Date:  2018-12-03       Impact factor: 5.379

2.  Coupling Magnetically Induced Electric Fields to Neurons: Longitudinal and Transverse Activation.

Authors:  Boshuo Wang; Warren M Grill; Angel V Peterchev
Journal:  Biophys J       Date:  2018-07-03       Impact factor: 4.033

3.  Analytical solution for time-dependent potentials in a fiber stimulated by an external electrode.

Authors:  Wanda Krassowska Neu
Journal:  Med Biol Eng Comput       Date:  2016-03-10       Impact factor: 2.602

4.  Modified cable equation incorporating transverse polarization of neuronal membranes for accurate coupling of electric fields.

Authors:  Boshuo Wang; Aman S Aberra; Warren M Grill; Angel V Peterchev
Journal:  J Neural Eng       Date:  2018-04       Impact factor: 5.379

5.  Avoiding nerve stimulation in irreversible electroporation: a numerical modeling study.

Authors:  Borja Mercadal; Christopher B Arena; Rafael V Davalos; Antoni Ivorra
Journal:  Phys Med Biol       Date:  2017-10-04       Impact factor: 3.609

6.  Excitation properties of computational models of unmyelinated peripheral axons.

Authors:  Nicole A Pelot; David C Catherall; Brandon J Thio; Nathan D Titus; Edward D Liang; Craig S Henriquez; Warren M Grill
Journal:  J Neurophysiol       Date:  2020-10-21       Impact factor: 2.714

7.  Impedance Spectrum in Cortical Tissue: Implications for Propagation of LFP Signals on the Microscopic Level.

Authors:  Stéphanie Miceli; Torbjørn V Ness; Gaute T Einevoll; Dirk Schubert
Journal:  eNeuro       Date:  2017-01-31

8.  Minimizing activation of overlying axons with epiretinal stimulation: The role of fiber orientation and electrode configuration.

Authors:  Timothy B Esler; Robert R Kerr; Bahman Tahayori; David B Grayden; Hamish Meffin; Anthony N Burkitt
Journal:  PLoS One       Date:  2018-03-01       Impact factor: 3.240

9.  Selective recruitment of cortical neurons by electrical stimulation.

Authors:  Maxim Komarov; Paola Malerba; Ryan Golden; Paul Nunez; Eric Halgren; Maxim Bazhenov
Journal:  PLoS Comput Biol       Date:  2019-08-26       Impact factor: 4.475

10.  A Simple and Accurate Model to Predict Responses to Multi-electrode Stimulation in the Retina.

Authors:  Matias I Maturana; Nicholas V Apollo; Alex E Hadjinicolaou; David J Garrett; Shaun L Cloherty; Tatiana Kameneva; David B Grayden; Michael R Ibbotson; Hamish Meffin
Journal:  PLoS Comput Biol       Date:  2016-04-01       Impact factor: 4.475

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