Literature DB >> 17358206

Spiral-wave dynamics depend sensitively on inhomogeneities in mathematical models of ventricular tissue.

T K Shajahan1, Sitabhra Sinha, Rahul Pandit.   

Abstract

Every sixth death in industrialized countries occurs because of cardiac arrhythmias such as ventricular tachycardia (VT) and ventricular fibrillation (VF). There is growing consensus that VT is associated with an unbroken spiral wave of electrical activation on cardiac tissue but VF with broken waves, spiral turbulence, spatiotemporal chaos and rapid, irregular activation. Thus spiral-wave activity in cardiac tissue has been studied extensively. Nevertheless, many aspects of such spiral dynamics remain elusive because of the intrinsically high-dimensional nature of the cardiac-dynamical system. In particular, the role of tissue heterogeneities in the stability of cardiac spiral waves is still being investigated. Experiments with conduction inhomogeneities in cardiac tissue yield a variety of results: some suggest that conduction inhomogeneities can eliminate VF partially or completely, leading to VT or quiescence, but others show that VF is unaffected by obstacles. We propose theoretically that this variety of results is a natural manifestation of a complex, fractal-like boundary that must separate the basins of the attractors associated, respectively, with spiral breakup and single spiral wave. We substantiate this with extensive numerical studies of Panfilov and Luo-Rudy I models, where we show that the suppression of spiral breakup depends sensitively on the position, size, and nature of the inhomogeneity.

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Year:  2007        PMID: 17358206     DOI: 10.1103/PhysRevE.75.011929

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  12 in total

1.  Attraction and repulsion of spiral waves by inhomogeneity of conduction anisotropy--a model of spiral wave interaction with electrical remodeling of heart tissue.

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Journal:  J Biol Phys       Date:  2012-10-07       Impact factor: 1.365

2.  A comparative study of nonequilibrium dynamics in complex and real Ginzburg-Landau equations.

Authors:  Saugata Patra; Subir K Das
Journal:  Eur Phys J E Soft Matter       Date:  2013-11-21       Impact factor: 1.890

3.  Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern.

Authors:  Sohail Zahid; Hubert Cochet; Patrick M Boyle; Erica L Schwarz; Kaitlyn N Whyte; Edward J Vigmond; Rémi Dubois; Mélèze Hocini; Michel Haïssaguerre; Pierre Jaïs; Natalia A Trayanova
Journal:  Cardiovasc Res       Date:  2016-04-07       Impact factor: 10.787

4.  Scroll-wave dynamics in human cardiac tissue: lessons from a mathematical model with inhomogeneities and fiber architecture.

Authors:  Rupamanjari Majumder; Alok Ranjan Nayak; Rahul Pandit
Journal:  PLoS One       Date:  2011-04-05       Impact factor: 3.240

5.  Structural defects lead to dynamic entrapment in cardiac electrophysiology.

Authors:  Oliver R J Bates; Bela Suki; Peter S Spector; Jason H T Bates
Journal:  PLoS One       Date:  2015-03-10       Impact factor: 3.240

6.  Spiral-wave dynamics in a mathematical model of human ventricular tissue with myocytes and fibroblasts.

Authors:  Alok Ranjan Nayak; T K Shajahan; A V Panfilov; Rahul Pandit
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

7.  Spiral-wave dynamics in ionically realistic mathematical models for human ventricular tissue: the effects of periodic deformation.

Authors:  Alok R Nayak; Rahul Pandit
Journal:  Front Physiol       Date:  2014-06-10       Impact factor: 4.566

8.  Nonequilibrium arrhythmic states and transitions in a mathematical model for diffuse fibrosis in human cardiac tissue.

Authors:  Rupamanjari Majumder; Alok Ranjan Nayak; Rahul Pandit
Journal:  PLoS One       Date:  2012-10-08       Impact factor: 3.240

9.  Spiral-wave turbulence and its control in the presence of inhomogeneities in four mathematical models of cardiac tissue.

Authors:  T K Shajahan; Alok Ranjan Nayak; Rahul Pandit
Journal:  PLoS One       Date:  2009-03-09       Impact factor: 3.240

10.  A Computational Study of the Factors Influencing the PVC-Triggering Ability of a Cluster of Early Afterdepolarization-Capable Myocytes.

Authors:  Soling Zimik; Alok Ranjan Nayak; Rahul Pandit
Journal:  PLoS One       Date:  2015-12-16       Impact factor: 3.240

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