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Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology
We describe a sequence of methods to produce a partial differential equation model of the electrical activation of the ventricles. In our framework, we incorporate the anatomy and cardiac microstructure obtained from magnetic resonance imaging and diffusion tensor imaging of a New Zealand White rabb...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262432/ https://www.ncbi.nlm.nih.gov/pubmed/25493967 http://dx.doi.org/10.1371/journal.pone.0114494 |
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author | Krishnamoorthi, Shankarjee Perotti, Luigi E. Borgstrom, Nils P. Ajijola, Olujimi A. Frid, Anna Ponnaluri, Aditya V. Weiss, James N. Qu, Zhilin Klug, William S. Ennis, Daniel B. Garfinkel, Alan |
author_facet | Krishnamoorthi, Shankarjee Perotti, Luigi E. Borgstrom, Nils P. Ajijola, Olujimi A. Frid, Anna Ponnaluri, Aditya V. Weiss, James N. Qu, Zhilin Klug, William S. Ennis, Daniel B. Garfinkel, Alan |
author_sort | Krishnamoorthi, Shankarjee |
collection | PubMed |
description | We describe a sequence of methods to produce a partial differential equation model of the electrical activation of the ventricles. In our framework, we incorporate the anatomy and cardiac microstructure obtained from magnetic resonance imaging and diffusion tensor imaging of a New Zealand White rabbit, the Purkinje structure and the Purkinje-muscle junctions, and an electrophysiologically accurate model of the ventricular myocytes and tissue, which includes transmural and apex-to-base gradients of action potential characteristics. We solve the electrophysiology governing equations using the finite element method and compute both a 6-lead precordial electrocardiogram (ECG) and the activation wavefronts over time. We are particularly concerned with the validation of the various methods used in our model and, in this regard, propose a series of validation criteria that we consider essential. These include producing a physiologically accurate ECG, a correct ventricular activation sequence, and the inducibility of ventricular fibrillation. Among other components, we conclude that a Purkinje geometry with a high density of Purkinje muscle junctions covering the right and left ventricular endocardial surfaces as well as transmural and apex-to-base gradients in action potential characteristics are necessary to produce ECGs and time activation plots that agree with physiological observations. |
format | Online Article Text |
id | pubmed-4262432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42624322014-12-15 Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology Krishnamoorthi, Shankarjee Perotti, Luigi E. Borgstrom, Nils P. Ajijola, Olujimi A. Frid, Anna Ponnaluri, Aditya V. Weiss, James N. Qu, Zhilin Klug, William S. Ennis, Daniel B. Garfinkel, Alan PLoS One Research Article We describe a sequence of methods to produce a partial differential equation model of the electrical activation of the ventricles. In our framework, we incorporate the anatomy and cardiac microstructure obtained from magnetic resonance imaging and diffusion tensor imaging of a New Zealand White rabbit, the Purkinje structure and the Purkinje-muscle junctions, and an electrophysiologically accurate model of the ventricular myocytes and tissue, which includes transmural and apex-to-base gradients of action potential characteristics. We solve the electrophysiology governing equations using the finite element method and compute both a 6-lead precordial electrocardiogram (ECG) and the activation wavefronts over time. We are particularly concerned with the validation of the various methods used in our model and, in this regard, propose a series of validation criteria that we consider essential. These include producing a physiologically accurate ECG, a correct ventricular activation sequence, and the inducibility of ventricular fibrillation. Among other components, we conclude that a Purkinje geometry with a high density of Purkinje muscle junctions covering the right and left ventricular endocardial surfaces as well as transmural and apex-to-base gradients in action potential characteristics are necessary to produce ECGs and time activation plots that agree with physiological observations. Public Library of Science 2014-12-10 /pmc/articles/PMC4262432/ /pubmed/25493967 http://dx.doi.org/10.1371/journal.pone.0114494 Text en © 2014 Krishnamoorthi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Krishnamoorthi, Shankarjee Perotti, Luigi E. Borgstrom, Nils P. Ajijola, Olujimi A. Frid, Anna Ponnaluri, Aditya V. Weiss, James N. Qu, Zhilin Klug, William S. Ennis, Daniel B. Garfinkel, Alan Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology |
title | Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology |
title_full | Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology |
title_fullStr | Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology |
title_full_unstemmed | Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology |
title_short | Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology |
title_sort | simulation methods and validation criteria for modeling cardiac ventricular electrophysiology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4262432/ https://www.ncbi.nlm.nih.gov/pubmed/25493967 http://dx.doi.org/10.1371/journal.pone.0114494 |
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