A computationally efficient dynamic model of human epicardial tissue.

We present a new phenomenological model of human ventricular epicardial cells and we test its reentry dynamics. The model is derived from the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and represents the total ionic current divided into three contributions corresponding to the exc...

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Autores principales:	Niccoló Biasi, Alessandro Tognetti
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/09f66baf56fb4d788a69cb42f5680ce8
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id	oai:doaj.org-article:09f66baf56fb4d788a69cb42f5680ce8
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spelling	oai:doaj.org-article:09f66baf56fb4d788a69cb42f5680ce82021-12-02T20:13:29ZA computationally efficient dynamic model of human epicardial tissue.1932-620310.1371/journal.pone.0259066https://doaj.org/article/09f66baf56fb4d788a69cb42f5680ce82021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259066https://doaj.org/toc/1932-6203We present a new phenomenological model of human ventricular epicardial cells and we test its reentry dynamics. The model is derived from the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and represents the total ionic current divided into three contributions corresponding to the excitatory, recovery and transient outward currents. Our model reproduces the main characteristics of human epicardial tissue, including action potential amplitude and morphology, upstroke velocity, and action potential duration and conduction velocity restitution curves. The reentry dynamics is stable, and the dominant period is about 270 ms, which is comparable to clinical values. The proposed model is the first phenomenological model able to accurately resemble human experimental data by using only 3 state variables and 17 parameters. Indeed, it is more computationally efficient than existing models (i.e., almost two times faster than the minimal ventricular model). Beyond the computational efficiency, the low number of parameters facilitates the process of fitting the model to the experimental data.Niccoló BiasiAlessandro TognettiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0259066 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Niccoló Biasi Alessandro Tognetti A computationally efficient dynamic model of human epicardial tissue.
description	We present a new phenomenological model of human ventricular epicardial cells and we test its reentry dynamics. The model is derived from the Rogers-McCulloch formulation of the FitzHugh-Nagumo equations and represents the total ionic current divided into three contributions corresponding to the excitatory, recovery and transient outward currents. Our model reproduces the main characteristics of human epicardial tissue, including action potential amplitude and morphology, upstroke velocity, and action potential duration and conduction velocity restitution curves. The reentry dynamics is stable, and the dominant period is about 270 ms, which is comparable to clinical values. The proposed model is the first phenomenological model able to accurately resemble human experimental data by using only 3 state variables and 17 parameters. Indeed, it is more computationally efficient than existing models (i.e., almost two times faster than the minimal ventricular model). Beyond the computational efficiency, the low number of parameters facilitates the process of fitting the model to the experimental data.
format	article
author	Niccoló Biasi Alessandro Tognetti
author_facet	Niccoló Biasi Alessandro Tognetti
author_sort	Niccoló Biasi
title	A computationally efficient dynamic model of human epicardial tissue.
title_short	A computationally efficient dynamic model of human epicardial tissue.
title_full	A computationally efficient dynamic model of human epicardial tissue.
title_fullStr	A computationally efficient dynamic model of human epicardial tissue.
title_full_unstemmed	A computationally efficient dynamic model of human epicardial tissue.
title_sort	computationally efficient dynamic model of human epicardial tissue.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/09f66baf56fb4d788a69cb42f5680ce8
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A computationally efficient dynamic model of human epicardial tissue.

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