ArticlePLoS computational biology2016
Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Editorial commentary: Pulsed field versus thermal ablation for atrial fibrillation.Trends in cardiovascular medicine · 2026Article
- Impact of Catheter Configuration on the Mapping of Atrial Fibrillation.Circulation. Arrhythmia and electrophysiology · 2026Article
- CardioFit: a WebGL-based tool for fast and efficient parametrization of cardiac action potential models to fit user-provided data.Royal Society open science · 2025Article
- Fast interactive simulations of cardiac electrical activity in anatomically accurate heart structures by compressing sparse uniform cartesian grids.Computer methods and programs in biomedicine · 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
- Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments.PLoS computational biology · 2024Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments.bioRxiv : the preprint server for biology · 2024Article
- A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data.Arrhythmia & electrophysiology review · 2024Review
- Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar.PLoS computational biology · 2022Article
- The physics of heart rhythm disorders.Physics reports · 2022Article
- Intermittent trapping of spiral waves in a cardiac model.Physical review. E · 2022Article
- Interactive 3D Human Heart Simulations on Segmented Human MRI Hearts.Computing in cardiology · 2021Article
- Interactive Simulation of the ECG: Effects of Cell Types, Distributions, Shapes and Duration.Computing in cardiology · 2021Article
- Robust data assimilation with noise: Applications to cardiac dynamics.Chaos (Woodbury, N.Y.) · 2021Article
- Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning.Frontiers in physiology · 2021Article
- Calibration of ionic and cellular cardiac electrophysiology models.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Sensitivity of a data-assimilation system for reconstructing three-dimensional cardiac electrical dynamics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Creation and application of virtual patient cohorts of heart models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Reducing complexity and unidentifiability when modelling human atrial cells.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
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Authors and funding
4 authors.
Funding
Abstract
Computer studies are often used to study mechanisms of cardiac arrhythmias, including atrial fibrillation (AF). A crucial component in these studies is the electrophysiological model that describes the membrane potential of myocytes. The models vary from detailed, describing numerous ion channels, to simplified, grouping ionic channels into a minimal set of variables. The parameters of these models, however, are determined across different experiments in varied species. Furthermore, a single set of parameters may not describe variations across patients, and models have rarely been shown to recapitulate critical features of AF in a given patient. In this study we develop physiologically accurate computational human atrial models by fitting parameters of a detailed and of a simplified model to clinical data for five patients undergoing ablation therapy. Parameters were simultaneously fitted to action potential (AP) morphology, action potential duration (APD) restitution and conduction velocity (CV) restitution curves in these patients. For both models, our fitting procedure generated parameter sets that accurately reproduced clinical data, but differed markedly from published sets and between patients, emphasizing the need for patient-specific adjustment. Both models produced two-dimensional spiral wave dynamics for that were similar for each patient. These results show that simplified, computationally efficient models are an attractive choice for simulations of human atrial electrophysiology in spatially extended domains. This study motivates the development and validation of patient-specific model-based mechanistic studies to target therapy.
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