Literature DB >> 16389523

On the passive cardiac conductivity.

Jeroen G Stinstra1, Bruce Hopenfeld, Rob S Macleod.   

Abstract

In order to relate the structure of cardiac tissue to its passive electrical conductivity, we created a geometrical model of cardiac tissue on a cellular scale that encompassed myocytes, capillaries, and the interstitial space that surrounds them. A special mesh generator was developed for this model to create realistically shaped myocytes and interstitial space with a controlled degree of variation included in each model. In order to derive the effective conductivities, we used a finite element model to compute the currents flowing through the intracellular and extracellular space due to an externally applied electrical field. The product of these computations were the effective conductivity tensors for the intracellular and extracellular spaces. The simulations of bi-domain conductivities for healthy tissue resulted in an effective intracellular conductivity of 0.16S/m (longitudinal) and 0.005 S/m (transverse) and an effective extracellular conductivity of 0.21S/m (longitudinal) and 0.06 S/m (transverse). The latter values are within the range of measured values reported in literature. Furthermore, we anticipate that this method can be used to simulate pathological conditions for which measured data is far more sparse.

Mesh:

Year:  2005        PMID: 16389523     DOI: 10.1007/s10439-005-7257-7

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  27 in total

1.  Modeling electrical activity of myocardial cells incorporating the effects of ephaptic coupling.

Authors:  Joyce Lin; James P Keener
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-15       Impact factor: 11.205

2.  Modelling passive cardiac conductivity during ischaemia.

Authors:  J G Stinstra; S Shome; B Hopenfeld; R S MacLeod
Journal:  Med Biol Eng Comput       Date:  2005-11       Impact factor: 2.602

3.  A Model of 3D Propagation in Discrete Cardiac Tissue.

Authors:  Jg Stinstra; Sf Roberts; Jb Pormann; Rs Macleod; Cs Henriquez
Journal:  Comput Cardiol       Date:  2006

4.  Effect of nonuniform interstitial space properties on impulse propagation: a discrete multidomain model.

Authors:  Sarah F Roberts; Jeroen G Stinstra; Craig S Henriquez
Journal:  Biophys J       Date:  2008-07-18       Impact factor: 4.033

5.  Inverse Electrocardiographic Source Localization of Ischemia: An Optimization Framework and Finite Element Solution.

Authors:  Dafang Wang; Robert M Kirby; Rob S Macleod; Chris R Johnson
Journal:  J Comput Phys       Date:  2013-10-01       Impact factor: 3.553

6.  A Framework for Image-Based Modeling of Acute Myocardial Ischemia Using Intramurally Recorded Extracellular Potentials.

Authors:  Brett M Burton; Kedar K Aras; Wilson W Good; Jess D Tate; Brian Zenger; Rob S MacLeod
Journal:  Ann Biomed Eng       Date:  2018-05-21       Impact factor: 3.934

7.  Microdomain effects on transverse cardiac propagation.

Authors:  Joyce Lin; James P Keener
Journal:  Biophys J       Date:  2014-02-18       Impact factor: 4.033

8.  Analyzing Remodeling of Cardiac Tissue: A Comprehensive Approach Based on Confocal Microscopy and 3D Reconstructions.

Authors:  T Seidel; J-C Edelmann; F B Sachse
Journal:  Ann Biomed Eng       Date:  2015-09-23       Impact factor: 3.934

9.  On the biophysics of cathodal galvanotaxis in rat prostate cancer cells: Poisson-Nernst-Planck equation approach.

Authors:  Przemysław Borys
Journal:  Eur Biophys J       Date:  2012-03-31       Impact factor: 1.733

10.  Quantitative analysis of cardiac tissue including fibroblasts using three-dimensional confocal microscopy and image reconstruction: towards a basis for electrophysiological modeling.

Authors:  Bettina C Schwab; Gunnar Seemann; Richard A Lasher; Natalia S Torres; Eike M Wulfers; Maren Arp; Eric D Carruth; John H B Bridge; Frank B Sachse
Journal:  IEEE Trans Med Imaging       Date:  2013-01-17       Impact factor: 10.048

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