4.6 Review

Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach

Journal

FRONTIERS IN PHYSIOLOGY
Volume 5, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fphys.2014.00435

Keywords

arrhythmia; computer modeling; structural remodeling; fibrosis; infarct

Categories

Funding

  1. NIH Director's Pioneer Award [DP1-HL123271]
  2. NIH [R01-HL103428, R01-HL105216]
  3. NSF [CBET-0933029, IOS-1124804]
  4. Division Of Integrative Organismal Systems
  5. Direct For Biological Sciences [1124804] Funding Source: National Science Foundation

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Under diseased conditions, remodeling of the cardiac tissue properties (passive properties) takes place; these are aspects of electrophysiological behavior that are not associated with active ion transport across cell membranes. Remodeling of the passive electrophysiological properties most often results from structural remodeling, such as gap junction down-regulation and lateralization, fibrotic growth infiltrating the myocardium, or the development of an infarct scar. Such structural remodeling renders atrial or ventricular tissue as a major substrate for arrhythmias. The current review focuses on these aspects of cardiac arrhythmogenesis. Due to the inherent complexity of cardiac arrhythmias, computer simulations have provided means to elucidate interactions pertinent to this spatial scale. Here we review the current state-of-the-art in modeling atrial and ventricular arrhythmogenesis as arising from the disease-induced changes in the passive tissue properties, as well as the contributions these modeling studies have made to our understanding of the mechanisms of arrhythmias in the heart. Because of the rapid advance of structural imaging methodologies in cardiac electrophysiology, we chose to present studies that have used such imaging methodologies to construct geometrically realistic models of cardiac tissue, or the organ itself, where the regional remodeling properties of the myocardium can be represented in a realistic way. We emphasize how the acquired knowledge can be used to pave the way for clinical applications of cardiac organ modeling under the conditions of structural remodeling.

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