Literature DB >> 17405368

Hybrid finite element method for describing the electrical response of biological cells to applied fields.

Wenjun Ying1, Craig S Henriquez.   

Abstract

A novel hybrid finite element method (FEM) for modeling the response of passive and active biological membranes to external stimuli is presented. The method is based on the differential equations that describe the conservation of electric flux and membrane currents. By introducing the electric flux through the cell membrane as an additional variable, the algorithm decouples the linear partial differential equation part from the nonlinear ordinary differential equation part that defines the membrane dynamics of interest. This conveniently results in two subproblems: a linear interface problem and a nonlinear initial value problem. The linear interface problem is solved with a hybrid FEM. The initial value problem is integrated by a standard ordinary differential equation solver such as the Euler and Runge-Kutta methods. During time integration, these two subproblems are solved alternatively. The algorithm can be used to model the interaction of stimuli with multiple cells of almost arbitrary geometries and complex ion-channel gating at the plasma membrane. Numerical experiments are presented demonstrating the uses of the method for modeling field stimulation and action potential propagation.

Mesh:

Year:  2007        PMID: 17405368      PMCID: PMC2814055          DOI: 10.1109/TBME.2006.889172

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  31 in total

1.  Modeling electroporation in a single cell. I. Effects Of field strength and rest potential.

Authors:  K A DeBruin; W Krassowska
Journal:  Biophys J       Date:  1999-09       Impact factor: 4.033

2.  Dependence of induced transmembrane potential on cell density, arrangement, and cell position inside a cell system.

Authors:  Mojca Pavlin; Natasa Pavselj; Damijan Miklavcic
Journal:  IEEE Trans Biomed Eng       Date:  2002-06       Impact factor: 4.538

3.  An approach to electrical modeling of single and multiple cells.

Authors:  Thiruvallur R Gowrishankar; James C Weaver
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

4.  Effect of electric field induced transmembrane potential on spheroidal cells: theory and experiment.

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Journal:  Eur Biophys J       Date:  2003-04-24       Impact factor: 1.733

Review 5.  Fundamentals of electroporative delivery of drugs and genes.

Authors:  E Neumann; S Kakorin; K Toensing
Journal:  Bioelectrochem Bioenerg       Date:  1999-02

6.  Membrane current from transmembrane potentials in complex core-conductor models.

Authors:  Roger C Barr; Robert Plonsey; Chad R Johnson
Journal:  IEEE Trans Biomed Eng       Date:  2003-04       Impact factor: 4.538

7.  A numerical scheme for modeling wavefront propagation on a monolayer of arbitrary geometry.

Authors:  Steeve Zozor; Olivier Blanc; Vincent Jacquemet; Nathalie Virag; Jean-Marc Vesin; Etienne Pruvot; Lukas Kappenberger; Craig Henriquez
Journal:  IEEE Trans Biomed Eng       Date:  2003-04       Impact factor: 4.538

8.  A new computational approach for electrical analysis of biological tissues.

Authors:  Airton Ramos; Adroaldo Raizer; Jefferson L B Marques
Journal:  Bioelectrochemistry       Date:  2003-04       Impact factor: 5.373

9.  Model of creation and evolution of stable electropores for DNA delivery.

Authors:  Kyle C Smith; John C Neu; Wanda Krassowska
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

10.  Electroporation in a model of cardiac defibrillation.

Authors:  T Ashihara; T Yao; T Namba; M Ito; T Ikeda; A Kawase; S Toda; T Suzuki; M Inagaki; M Sugimachi; M Kinoshita; K Nakazawa
Journal:  J Cardiovasc Electrophysiol       Date:  2001-12
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  14 in total

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Journal:  Med Biol Eng Comput       Date:  2012-02-21       Impact factor: 2.602

Review 2.  Induced transmembrane voltage and its correlation with electroporation-mediated molecular transport.

Authors:  Tadej Kotnik; Gorazd Pucihar; Damijan Miklavcic
Journal:  J Membr Biol       Date:  2010-07-09       Impact factor: 1.843

3.  Modulation of cell function by electric field: a high-resolution analysis.

Authors:  T Taghian; D A Narmoneva; A B Kogan
Journal:  J R Soc Interface       Date:  2015-06-06       Impact factor: 4.118

4.  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

5.  Can high-field MREIT be used to directly detect neural activity? Theoretical considerations.

Authors:  R J Sadleir; S C Grant; E J Woo
Journal:  Neuroimage       Date:  2010-04-09       Impact factor: 6.556

6.  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

7.  Current approaches to model extracellular electrical neural microstimulation.

Authors:  Sébastien Joucla; Alain Glière; Blaise Yvert
Journal:  Front Comput Neurosci       Date:  2014-02-19       Impact factor: 2.380

8.  Multiscale coupling of transcranial direct current stimulation to neuron electrodynamics: modeling the influence of the transcranial electric field on neuronal depolarization.

Authors:  Edward T Dougherty; James C Turner; Frank Vogel
Journal:  Comput Math Methods Med       Date:  2014-10-23       Impact factor: 2.238

9.  An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons.

Authors:  Aslak Tveito; Karoline H Jæger; Glenn T Lines; Łukasz Paszkowski; Joakim Sundnes; Andrew G Edwards; Tuomo Māki-Marttunen; Geir Halnes; Gaute T Einevoll
Journal:  Front Comput Neurosci       Date:  2017-04-24       Impact factor: 2.380

10.  Dynamics of a neuron-glia system: the occurrence of seizures and the influence of electroconvulsive stimuli : A mathematical and numerical study.

Authors:  André H Erhardt; Kent-Andre Mardal; Jakob E Schreiner
Journal:  J Comput Neurosci       Date:  2020-05-12       Impact factor: 1.621

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