ArticleFrontiers in physiology2018
Muscle Thickness and Curvature Influence Atrial Conduction Velocities.
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 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Trial
- Automated analysis of electrogram characteristics in baseline rhythm can distinguish isthmus regions and segments in reentrant ventricular tachycardia.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Article
- Generating patient-specific computational models with point cloud data from human atrial electrophysiology studies.PloS one · 2026Article
- Mechanism of Typical Atrial Flutter in a Patient After Cardiac Transplant: Functional Slowing From Geometric Distortion.JACC. Case reports · 2025Article
- Left atrial conduction times and regional velocities in persistent atrial fibrillation patients with and without fibrotic atrial cardiomyopathy.Heart and vessels · 2023Article
- lifex-fiber: an open tool for myofibers generation in cardiac computational models.BMC bioinformatics · 2023Article
- Rule-based definition of muscle bundles in patient-specific models of the left atrium.Frontiers in physiology · 2022Article
- Identification of local atrial conduction heterogeneities using high-density conduction velocity estimation.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 · 2021Article
- Reduction of Conduction Velocity in Patients with Atrial Fibrillation.Journal of clinical medicine · 2021Article
- The impact of wall thickness and curvature on wall stress in patient-specific electromechanical models of the left atrium.Biomechanics and modeling in mechanobiology · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Electroanatomical mapping is currently used to provide clinicians with information about the electrophysiological state of the heart and to guide interventions like ablation. These maps can be used to identify ectopic triggers of an arrhythmia such as atrial fibrillation (AF) or changes in the conduction velocity (CV) that have been associated with poor cell to cell coupling or fibrosis. Unfortunately, many factors are known to affect CV, including membrane excitability, pacing rate, wavefront curvature, and bath loading, making interpretation challenging. In this work, we show how endocardial conduction velocities are also affected by the geometrical factors of muscle thickness and wall curvature. Using an idealized three-dimensional strand, we show that transverse conductivities and boundary conditions can slow down or speed up signal propagation, depending on the curvature of the muscle tissue. In fact, a planar wavefront that is parallel to a straight line normal to the mid-surface does not remain normal to the mid-surface in a curved domain. We further demonstrate that the conclusions drawn from the idealized test case can be used to explain spatial changes in conduction velocities in a patient-specific reconstruction of the left atrial posterior wall. The simulations suggest that the widespread assumption of treating atrial muscle as a two-dimensional manifold for electrophysiological simulations will not accurately represent the endocardial conduction velocities in regions of the heart thicker than 0.5 mm with significant wall curvature.
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Registered trials
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