Literature DB >> 28964161

Modeling dynamics in diseased cardiac tissue: Impact of model choice.

Tanmay A Gokhale1, Eli Medvescek1, Craig S Henriquez1.   

Abstract

Cardiac arrhythmias have been traditionally simulated using continuous models that assume tissue homogeneity and use a relatively large spatial discretization. However, it is believed that the tissue fibrosis and collagen deposition, which occur on a micron-level, are critical factors in arrhythmogenesis in diseased tissues. Consequently, it remains unclear how well continuous models, which use averaged electrical properties, are able to accurately capture complex conduction behaviors such as re-entry in fibrotic tissues. The objective of this study was to compare re-entrant behavior in discrete microstructural models of fibrosis and in two types of equivalent continuous models, a homogenous continuous model and a hybrid continuous model with distinct heterogeneities. In the discrete model, increasing levels of tissue fibrosis lead to a substantial increase in the re-entrant cycle length which is inadequately reflected in the homogenous continuous models. These cycle length increases appear to be primarily due to increases in the tip path length and to altered restitution behavior, and suggest that it is critical to consider the discrete effects of fibrosis on conduction when studying arrhythmogenesis in fibrotic myocardium. Hybrid models are able to accurately capture some aspects of re-entry and, if carefully tuned, may provide a framework for simulating conduction in diseased tissues with both accuracy and efficiency.

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Year:  2017        PMID: 28964161      PMCID: PMC5568867          DOI: 10.1063/1.4999605

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  39 in total

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Authors:  Caroline Mendonca Costa; Rodrigo Weber Dos Santos
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

2.  Mechanism of origin of conduction disturbances in aging human atrial bundles: experimental and model study.

Authors:  Madison S Spach; J Francis Heidlage; Paul C Dolber; Roger C Barr
Journal:  Heart Rhythm       Date:  2006-11-01       Impact factor: 6.343

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4.  Susceptibility to arrhythmia in the infarcted heart depends on myofibroblast density.

Authors:  Kathleen S McDowell; Hermenegild J Arevalo; Mary M Maleckar; Natalia A Trayanova
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

5.  Effect of action potential duration and conduction velocity restitution and their spatial dispersion on alternans and the stability of arrhythmias.

Authors:  Isabelle Banville; Richard A Gray
Journal:  J Cardiovasc Electrophysiol       Date:  2002-11

Review 6.  A brief history of tissue models for cardiac electrophysiology.

Authors:  Craig S Henriquez
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

Review 7.  Fibrosis and cardiac arrhythmias.

Authors:  Sanne de Jong; Toon A B van Veen; Harold V M van Rijen; Jacques M T de Bakker
Journal:  J Cardiovasc Pharmacol       Date:  2011-06       Impact factor: 3.105

8.  Percolation as a mechanism to explain atrial fractionated electrograms and reentry in a fibrosis model based on imaging data.

Authors:  Edward Vigmond; Ali Pashaei; Sana Amraoui; Hubert Cochet; Michel Hassaguerre
Journal:  Heart Rhythm       Date:  2016-03-11       Impact factor: 6.343

9.  Computer model of action potential of mouse ventricular myocytes.

Authors:  Vladimir E Bondarenko; Gyula P Szigeti; Glenna C L Bett; Song-Jung Kim; Randall L Rasmusson
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-05-13       Impact factor: 4.733

10.  A finite element approach for modeling micro-structural discontinuities in the heart.

Authors:  Caroline Mendonca Costa Costa; Fernando O Campos; Anton J Prassl; Rodrigo Weber dos Santos; Damián Sánchez-Quintana; Ernst Hofer; Gernot Plank
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2011
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  10 in total

1.  Normal and fibrotic liver parenchyma respond differently to irreversible electroporation.

Authors:  Chenang Lyu; Maya Lopez-Ichikawa; Boris Rubinsky; Tammy T Chang
Journal:  HPB (Oxford)       Date:  2019-03-14       Impact factor: 3.647

Review 2.  A Review of Healthy and Fibrotic Myocardium Microstructure Modeling and Corresponding Intracardiac Electrograms.

Authors:  Jorge Sánchez; Axel Loewe
Journal:  Front Physiol       Date:  2022-05-10       Impact factor: 4.755

3.  Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.

Authors:  Richard H Clayton
Journal:  Front Physiol       Date:  2018-08-07       Impact factor: 4.566

4.  Understanding the transition from paroxysmal to persistent atrial fibrillation.

Authors:  Alberto Ciacci; Max Falkenberg; Kishan A Manani; Tim S Evans; Nicholas S Peters; Kim Christensen
Journal:  Phys Rev Res       Date:  2020-06-09

5.  Heart Rhythm Insights Into Structural Remodeling in Atrial Tissue: Timed Automata Approach.

Authors:  Danuta Makowiec; Joanna Wdowczyk; Zbigniew R Struzik
Journal:  Front Physiol       Date:  2019-01-14       Impact factor: 4.566

Review 6.  Understanding AF Mechanisms Through Computational Modelling and Simulations.

Authors:  Konstantinos N Aronis; Rheeda L Ali; Jialiu A Liang; Shijie Zhou; Natalia A Trayanova
Journal:  Arrhythm Electrophysiol Rev       Date:  2019-07

7.  Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps.

Authors:  Max Falkenberg; James A Coleman; Sam Dobson; David J Hickey; Louie Terrill; Alberto Ciacci; Belvin Thomas; Arunashis Sau; Fu Siong Ng; Jichao Zhao; Nicholas S Peters; Kim Christensen
Journal:  PLoS One       Date:  2022-06-23       Impact factor: 3.752

8.  Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset.

Authors:  Jorge Sánchez; Giorgio Luongo; Mark Nothstein; Laura A Unger; Javier Saiz; Beatriz Trenor; Armin Luik; Olaf Dössel; Axel Loewe
Journal:  Front Physiol       Date:  2021-07-05       Impact factor: 4.566

9.  Unified mechanism of local drivers in a percolation model of atrial fibrillation.

Authors:  Max Falkenberg; Andrew J Ford; Anthony C Li; Robert Lawrence; Alberto Ciacci; Nicholas S Peters; Kim Christensen
Journal:  Phys Rev E       Date:  2019-12       Impact factor: 2.529

10.  Microheterogeneity-induced conduction slowing and wavefront collisions govern macroscopic conduction behavior: A computational and experimental study.

Authors:  Tanmay A Gokhale; Huda Asfour; Shravan Verma; Nenad Bursac; Craig S Henriquez
Journal:  PLoS Comput Biol       Date:  2018-07-16       Impact factor: 4.475

  10 in total

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