ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2016
Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms.
Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.
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80 citing papers in PubMed, 131 citations in OpenAlex.
- Histological evaluation of clinically defined atrial cardiomyopathy stages and their association with atrial fibrillation burden under continuous monitoring for a 2.5-year follow-up.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- Structural determinants of re-entrant drivers in atrial fibrillation: insights from digital twins derived from 3D micrometre-resolution imaging of human heart.The Journal of physiology · 2026Article
- Atrial fibrosis in atrial fibrillation: Mechanisms, mapping techniques and clinical applications.The Journal of physiology · 2026Review
- Role of interatrial connection ablation in re-entry dynamics: an in silico evaluation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- Cellular and molecular cross-talk in atrial fibrillation: The role of non-cardiomyocytes in creating an arrhythmogenic substrate.The Journal of physiology · 2026Review
- Models of cardiomyocyte-non-myocyte electrical interactions.The Journal of physiology · 2026Review
- Generating patient-specific computational models with point cloud data from human atrial electrophysiology studies.PloS one · 2026Article
- Segmental analysis of left atrial substrate severity predictors in patients undergoing persistent atrial fibrillation ablation.Frontiers in cardiovascular medicine · 2026Article
- The effect of clinically relevant changes in extracellular electrolyte concentrations on human atrial arrhythmias.Communications medicine · 2025Article
- Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties.PLoS computational biology · 2025Article
- Correlative imaging integrates electrophysiology with three-dimensional murine heart reconstruction to reveal electrical coupling between cell types.Nature cardiovascular research · 2025Article
- Translation of pathophysiological mechanisms of atrial fibrosis into new diagnostic and therapeutic approaches.Nature reviews. Cardiology · 2025Review
- Comparison of LGE MRI Scar Identification Methods for Atrial Computational Modeling.Computing in cardiology · 2025Article
- Synthetic fibrosis distributions for data augmentation in predicting atrial fibrillation ablation outcomes: anFrontiers in cardiovascular medicine · 2025Article
- Atrial Fibrosis in Atrial Fibrillation: Mechanistic Insights, Diagnostic Challenges, and Emerging Therapeutic Targets.International journal of molecular sciences · 2024Review
- Multiphysics simulations reveal haemodynamic impacts of patient-derived fibrosis-related changes in left atrial tissue mechanics.The Journal of physiology · 2024Article
- Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation.NPJ digital medicine · 2024Article
- Impact of effective refractory period personalization on arrhythmia vulnerability in patient-specific atrial computer models.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Systematic in-silico evaluation of fibrosis effects on re-entrant wave dynamics in atrial tissue.Scientific reports · 2024Article
20 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
Abstract
aimsCatheter ablation is an effective technique for terminating atrial arrhythmia. However, given a high atrial fibrillation (AF) recurrence rate, optimal ablation strategies have yet to be defined. Computer modelling can be a powerful aid but modelling of fibrosis, a major factor associated with AF, is an open question. Several groups have proposed methodologies based on imaging data, but no comparison to determine which methodology best corroborates clinically observed reentrant behaviour has been performed. We examined several methodologies to determine the best method for capturing fibrillation dynamics. METHODS AND
resultsPatient late gadolinium-enhanced magnetic resonance imaging data were transferred onto a bilayer atrial computer model and used to assign fibrosis distributions. Fibrosis was modelled as conduction disturbances (lower conductivity, edge splitting, or percolation), transforming growth factor-β1 ionic channel effects, myocyte-fibroblast coupling, and combinations of the preceding. Reentry was induced through pulmonary vein ectopy and the ensuing rotor dynamics characterized. Non-invasive electrocardiographic imaging data of the patients in AF was used for comparison. Electrograms were computed and the fractionation durations measured over the surface. Edge splitting produced more phase singularities from wavebreaks than the other representations. The number of phase singularities seen with percolation was closer to the clinical values. Addition of fibroblast coupling had an organizing effect on rotor dynamics. Simple tissue conductivity changes with ionic changes localized rotors over fibrosis which was not observed with clinical data.
conclusionThe specific representation of fibrosis has a large effect on rotor dynamics and needs to be carefully considered for patient specific modelling.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.