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A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation
Remodelling of cardiac tissue structure, including intercellular electrical coupling, is a major determinant of the complex and heterogeneous excitation patterns associated with cardiac arrhythmias. Evaluation of the precise mechanisms by which local tissue structure determines global arrhythmic exc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499818/ https://www.ncbi.nlm.nih.gov/pubmed/37704647 http://dx.doi.org/10.1038/s41598-023-39244-w |
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author | Colman, Michael A. Benson, Alan P. |
author_facet | Colman, Michael A. Benson, Alan P. |
author_sort | Colman, Michael A. |
collection | PubMed |
description | Remodelling of cardiac tissue structure, including intercellular electrical coupling, is a major determinant of the complex and heterogeneous excitation patterns associated with cardiac arrhythmias. Evaluation of the precise mechanisms by which local tissue structure determines global arrhythmic excitation patterns is a major challenge that may be critically important for the development of effective treatment strategies. Computational modelling is a key tool in the study of cardiac arrhythmias, yet the established approaches for organ-scale modelling are unsuitable to capture the impact of local conduction heterogeneities; a novel approach is required to provide this multi-scale mechanistic insight. We present a fundamentally simple yet powerful approach to simulate electrical excitation in highly heterogeneous whole-heart models that exploits the underlying discreteness of the myocardium. Preliminary simulations demonstrate that this approach can capture lower conduction velocities and reproduce wave breakdown and the development of re-entry in a range of conditions. |
format | Online Article Text |
id | pubmed-10499818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104998182023-09-15 A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation Colman, Michael A. Benson, Alan P. Sci Rep Article Remodelling of cardiac tissue structure, including intercellular electrical coupling, is a major determinant of the complex and heterogeneous excitation patterns associated with cardiac arrhythmias. Evaluation of the precise mechanisms by which local tissue structure determines global arrhythmic excitation patterns is a major challenge that may be critically important for the development of effective treatment strategies. Computational modelling is a key tool in the study of cardiac arrhythmias, yet the established approaches for organ-scale modelling are unsuitable to capture the impact of local conduction heterogeneities; a novel approach is required to provide this multi-scale mechanistic insight. We present a fundamentally simple yet powerful approach to simulate electrical excitation in highly heterogeneous whole-heart models that exploits the underlying discreteness of the myocardium. Preliminary simulations demonstrate that this approach can capture lower conduction velocities and reproduce wave breakdown and the development of re-entry in a range of conditions. Nature Publishing Group UK 2023-09-13 /pmc/articles/PMC10499818/ /pubmed/37704647 http://dx.doi.org/10.1038/s41598-023-39244-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Colman, Michael A. Benson, Alan P. A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation |
title | A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation |
title_full | A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation |
title_fullStr | A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation |
title_full_unstemmed | A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation |
title_short | A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation |
title_sort | simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499818/ https://www.ncbi.nlm.nih.gov/pubmed/37704647 http://dx.doi.org/10.1038/s41598-023-39244-w |
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