Literature DB >> 30187223

Sensitivity analysis of the Poisson Nernst-Planck equations: a finite element approximation for the sensitive analysis of an electrodiffusion model.

Ibrahima Dione1, Nicolas Doyon1, Jean Deteix2.   

Abstract

Biological structures exhibiting electric potential fluctuations such as neuron and neural structures with complex geometries are modelled using an electrodiffusion or Poisson Nernst-Planck system of equations. These structures typically depend upon several parameters displaying a large degree of variation or that cannot be precisely inferred experimentally. It is crucial to understand how the mathematical model (and resulting simulations) depend on specific values of these parameters. Here we develop a rigorous approach based on the sensitivity equation for the electrodiffusion model. To illustrate the proposed methodology, we investigate the sensitivity of the electrical response of a node of Ranvier with respect to ionic diffusion coefficients and the membrane dielectric permittivity.

Keywords:  Electrodiffusion; Finite elements; Ionic concentrations; Node of Ranvier; Sensitivity equation method

Mesh:

Year:  2018        PMID: 30187223     DOI: 10.1007/s00285-018-1266-2

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  20 in total

1.  A method to determine dielectric constants in nonhomogeneous systems: application to biological membranes.

Authors:  Hugh Nymeyer; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2007-10-19       Impact factor: 4.033

2.  Electrodiffusion models of neurons and extracellular space using the Poisson-Nernst-Planck equations--numerical simulation of the intra- and extracellular potential for an axon model.

Authors:  Jurgis Pods; Johannes Schönke; Peter Bastian
Journal:  Biophys J       Date:  2013-07-02       Impact factor: 4.033

3.  Local impermeant anions establish the neuronal chloride concentration.

Authors:  J Glykys; V Dzhala; K Egawa; T Balena; Y Saponjian; K V Kuchibhotla; B J Bacskai; K T Kahle; T Zeuthen; K J Staley
Journal:  Science       Date:  2014-02-07       Impact factor: 47.728

4.  A model of tight junction function in central nervous system myelinated axons.

Authors:  Alexander Gow; Jerome Devaux
Journal:  Neuron Glia Biol       Date:  2008-11

Review 5.  What is the most realistic single-compartment model of spike initiation?

Authors:  Romain Brette
Journal:  PLoS Comput Biol       Date:  2015-04-09       Impact factor: 4.475

6.  Electrostatics of non-neutral biological microdomains.

Authors:  J Cartailler; Z Schuss; D Holcman
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

7.  Poisson-Nernst-Planck models of nonequilibrium ion electrodiffusion through a protegrin transmembrane pore.

Authors:  Dan S Bolintineanu; Abdallah Sayyed-Ahmad; H Ted Davis; Yiannis N Kaznessis
Journal:  PLoS Comput Biol       Date:  2009-01-30       Impact factor: 4.475

8.  Spike-driven glutamate electrodiffusion triggers synaptic potentiation via a homer-dependent mGluR-NMDAR link.

Authors:  Sergiy Sylantyev; Leonid P Savtchenko; Yaroslav Ermolyuk; Piotr Michaluk; Dmitri A Rusakov
Journal:  Neuron       Date:  2013-02-06       Impact factor: 18.688

9.  Improved Simulation of Electrodiffusion in the Node of Ranvier by Mesh Adaptation.

Authors:  Ibrahima Dione; Jean Deteix; Thomas Briffard; Eric Chamberland; Nicolas Doyon
Journal:  PLoS One       Date:  2016-08-22       Impact factor: 3.240

Review 10.  Numerical Bifurcation Theory for High-Dimensional Neural Models.

Authors:  Carlo R Laing
Journal:  J Math Neurosci       Date:  2014-07-25       Impact factor: 1.300

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