ArticleFrontiers in physiology2018
Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Atrial fibrosis in atrial fibrillation: Mechanisms, mapping techniques and clinical applications.The Journal of physiology · 2026Review
- Spatially heterogeneous ionic remodelling promotes wavefront instability in simulated atrial tissue.Frontiers in network physiology · 2026Article
- Artificial Intelligence-Based Evaluation of Post-Procedural Electrocardiographic Parameters to Identify Patients at Risk of Atrial Fibrillation Recurrence After Transcatheter Ablation.Journal of clinical medicine · 2025Article
- Synthetic fibrosis distributions for data augmentation in predicting atrial fibrillation ablation outcomes: anFrontiers in cardiovascular medicine · 2025Article
- Fibroblast mediated dynamics in diffusively uncoupled myocytes: a simulation study using 2-cell motifs.Scientific reports · 2024Article
- Re-entry in models of cardiac ventricular tissue with scar represented as a Gaussian random field.Frontiers in physiology · 2024Article
- Patchy fibrosis promotes trigger-substrate interactions that both generate and maintain atrial fibrillation.Interface focus · 2023Article
- A simple approach for image-based modelling of the heart that enables robust simulation of highly heterogeneous electrical excitation.Scientific reports · 2023Article
- Homogenisation for the monodomain model in the presence of microscopic fibrotic structures.Communications in nonlinear science & numerical simulation · 2023Article
- Increased SERCA2a sub-cellular heterogeneity in right-ventricular heart failure inhibits excitation-contraction coupling and modulates arrhythmogenic dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Cardiac electro-mechanical activity in a deforming human cardiac tissue: modeling, existence-uniqueness, finite element computation and application to multiple ischemic disease.Journal of mathematical biology · 2022Article
- MicroRNAs sequencing of plasma exosomes derived from patients with atrial fibrillation: miR-124-3p promotes cardiac fibroblast activation and proliferation by regulating AXIN1.Journal of physiology and biochemistry · 2022Article
- How synergy between mechanistic and statistical models is impacting research in atrial fibrillation.Frontiers in physiology · 2022Review
- A Review of Healthy and Fibrotic Myocardium Microstructure Modeling and Corresponding Intracardiac Electrograms.Frontiers in physiology · 2022Review
- Theoretical Models and Computational Analysis of Action Potential Dispersion for Cardiac Arrhythmia Risk Stratification.Frontiers in cardiovascular medicine · 2021Article
- Machine Learning Identification of Pro-arrhythmic Structures in Cardiac Fibrosis.Frontiers in physiology · 2021Article
- Etiology-Specific Remodeling in Ventricular Tissue of Heart Failure Patients and Its Implications for Computational Modeling of Electrical Conduction.Frontiers in physiology · 2021Article
- An audit of uncertainty in multi-scale cardiac electrophysiology models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Review
- In silico investigation of the mechanisms underlying atrial fibrillation due to impaired Pitx2.PLoS computational biology · 2020Article
- Epicardial Fibrosis Explains Increased Endo-Epicardial Dissociation and Epicardial Breakthroughs in Human Atrial Fibrillation.Frontiers in physiology · 2020Article
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Abstract
Fibrosis in atrial tissue can act as a substrate for persistent atrial fibrillation, and can be focal or diffuse. Regions of fibrosis are associated with slowed or blocked conduction, and several approaches have been used to model these effects. In this study a computational model of 2D atrial tissue was used to investigate how the spatial scale of regions of simulated fibrosis influenced the dispersion of action potential duration (APD) and vulnerability to re-entry in simulated normal human atrial tissue, and human tissue that has undergone remodeling as a result of persistent atrial fibrillation. Electrical activity was simulated in a 10 × 10 cm square 2D domain, with a spatially varying diffusion coefficient as described below. Cellular electrophysiology was represented by the Courtemanche model for human atrial cells, with the model parameters set for normal and remodeled cells. The effect of fibrosis was modeled with a smoothly varying diffusion coefficient, obtained from sampling a Gaussian random field (GRF) with length scales of between 1.25 and 10.0 mm. Twenty samples were drawn from each field, and used to allocate a value of diffusion coefficient between 0.05 and 0.2 mm
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