Six Conductivity Values to Use in the Bidomain Model of Cardiac Tissue

<italic>Goal:</italic> The aim of this work is to produce a consistent set of six conductivity values for use in the bidomain model of cardiac tissue. <italic>Methods:</italic> Studies in 2007 by Hooks <italic>et al.</italic> and in 2009 by Caldwell <italic>et al.</italic> have found that, in the directions longitudinal:transverse:normal (l:t:n) to the cardiac fibers, ratios of bulk conductivities and conduction velocities are each approximately in the ratio 4:2:1. These results are used here as the basis for a method that can find sets of six normalized bidomain conductivity values. <italic>Results:</italic> It is found that the ratios involving transverse and normal conductivities are quite consistent, allowing new light to be shed on conductivity in the normal direction. For example, it is found that the ratio of transverse to normal conductivity is much greater in the intracellular (i) than the extracellular (e) domain. Using parameter values from experimental studies leads to the proposal of a new nominal six conductivity dataset: <inline-formula><tex-math notation="LaTeX">$g_{il}=2.4, g_{el}=2.4, g_{it}=0.35, g_{et}=2.0, g_{{in}}=0.08$</tex-math></inline-formula>, and <inline-formula><tex-math notation="LaTeX">$g_{en}=1.1$</tex-math> </inline-formula> (all in mS/cm). <italic>Conclusion:</italic> When it is used to model partial thickness ischaemia, this dataset produces epicardial potential distributions in accord with experimental studies in an animal model. It is, therefore, suggested that the dataset is suitable for use in numerical simulations. <italic>Significance:</italic> Since the bidomain approach is the most commonly used method for modeling cardiac electrophysiological phenomena, new information about conductivity in the normal direction, as well as a consistent set of six conductivity values, is valuable for researchers who perform simulation studies.

[1]  A. M. Scher,et al.  Influence of Cardiac Fiber Orientation on Wavefront Voltage, Conduction Velocity, and Tissue Resistivity in the Dog , 1979, Circulation research.

[2]  Joakim Sundnes,et al.  Simulation of ST segment changes during subendocardial ischemia using a realistic 3-D cardiac geometry , 2005, IEEE Transactions on Biomedical Engineering.

[3]  J. Stinstra,et al.  On the Passive Cardiac Conductivity , 2005, Annals of Biomedical Engineering.

[4]  Peter R. Johnston,et al.  The importance of anisotropy in modeling ST segment shift in subendocardial ischaemia , 2001, IEEE Transactions on Biomedical Engineering.

[5]  J. Stinstra,et al.  The Effect of Conductivity on ST-Segment Epicardial Potentials Arising from Subendocardial Ischemia , 2005, Annals of Biomedical Engineering.

[6]  Peter R. Johnston,et al.  Cardiac conductivity values — A challenge for experimentalists? , 2011, 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism.

[7]  Jacques M. T. de Bakker,et al.  A 50% Reduction of Excitability but Not of Intercellular Coupling Affects Conduction Velocity Restitution and Activation Delay in the Mouse Heart , 2011, PLoS ONE.

[8]  Author A Non-dimensional Formulation of the Passive Bidomain Equation , 2017 .

[9]  Barbara M. Johnston,et al.  The Sensitivity of the Passive Bidomain Equation to Variations in Six Conductivity Values , 2013, BioMed 2013.

[10]  A. M. Scher,et al.  Effect of Tissue Anisotropy on Extracellular Potential Fields in Canine Myocardium in Situ , 1982, Circulation research.

[11]  Bruce H Smaill,et al.  Three Distinct Directions of Intramural Activation Reveal Nonuniform Side-to-Side Electrical Coupling of Ventricular Myocytes , 2009, Circulation. Arrhythmia and electrophysiology.

[12]  Otto H. Schmitt,et al.  Biological Information Processing Using the Concept of Interpenetrating Domains , 1969 .

[13]  Bruno Taccardi,et al.  Epicardial and intramural excitation during ventricular pacing: effect of myocardial structure. , 2008, American journal of physiology. Heart and circulatory physiology.

[14]  Gunnar Seemann,et al.  Quantitative Analysis of Cardiac Tissue Including Fibroblasts Using Three-Dimensional Confocal Microscopy and Image Reconstruction: Towards a Basis for Electrophysiological Modeling , 2013, IEEE Transactions on Medical Imaging.

[15]  Peter R Johnston,et al.  A sensitivity study of conductivity values in the passive bidomain equation. , 2011, Mathematical biosciences.

[16]  Darren A Hooks,et al.  Myocardial segment-specific model generation for simulating the electrical action of the heart , 2007, Biomedical engineering online.

[17]  Peter R Johnston,et al.  A finite volume method solution for the bidomain equations and their application to modelling cardiac ischaemia , 2010, Computer methods in biomechanics and biomedical engineering.

[18]  A. Kleber,et al.  Electrical uncoupling and increase of extracellular resistance after induction of ischemia in isolated, arterially perfused rabbit papillary muscle. , 1987, Circulation research.

[19]  A. Kléber,et al.  Electrical constants of arterially perfused rabbit papillary muscle. , 1987, The Journal of physiology.

[20]  Craig S. Henriquez,et al.  A Brief History of Tissue Models For Cardiac Electrophysiology , 2014, IEEE Transactions on Biomedical Engineering.

[21]  Boyce E. Griffith,et al.  Deriving Macroscopic Myocardial Conductivities by Homogenization of Microscopic Models , 2009, Bulletin of mathematical biology.

[22]  Karl A. Tomlinson,et al.  Cardiac Microstructure: Implications for Electrical Propagation and Defibrillation in the Heart , 2002, Circulation research.

[23]  H Zhang,et al.  Models of cardiac tissue electrophysiology: progress, challenges and open questions. , 2011, Progress in biophysics and molecular biology.

[24]  S. Rush,et al.  Resistivity of Body Tissues at Low Frequencies , 1963, Circulation research.

[25]  D Kilpatrick,et al.  Source of electrocardiographic ST changes in subendocardial ischemia. , 1998, Circulation research.

[26]  Marcelo Lobosco,et al.  Simulation of Ectopic Pacemakers in the Heart: Multiple Ectopic Beats Generated by Reentry inside Fibrotic Regions , 2015, BioMed research international.

[27]  L. Clerc Directional differences of impulse spread in trabecular muscle from mammalian heart. , 1976, The Journal of physiology.

[28]  Rengasayee Veeraraghavan,et al.  Interstitial volume modulates the conduction velocity-gap junction relationship. , 2012, American journal of physiology. Heart and circulatory physiology.

[29]  K. Foster,et al.  Dielectric properties of tissues and biological materials: a critical review. , 1989, Critical reviews in biomedical engineering.

[30]  R. Gulrajani Bioelectricity and biomagnetism , 1998 .

[31]  B. Roth Electrical conductivity values used with the bidomain model of cardiac tissue , 1997, IEEE Transactions on Biomedical Engineering.

[32]  Peter R. Johnston,et al.  The effect of conductivity values on ST segment shift in subendocardial ischaemia , 2003, IEEE Transactions on Biomedical Engineering.

[33]  Bruce H Smaill,et al.  Laminar Arrangement of Ventricular Myocytes Influences Electrical Behavior of the Heart , 2007, Circulation research.

[34]  P. Johnston A nondimensional formulation of the passive bidomain equation. , 2011, Journal of electrocardiology.