Arrhythmogenic Consequences of Action Potential Duration Gradients in the Atria

Ridler, Marc; Lee, Mike; McQueen, David M.; Peskin, Charles S.; Vigmond, Edward J.

doi:10.1016/j.cjca.2010.12.002

Cited by 22 publications

(22 citation statements)

References 56 publications

(161 reference statements)

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“…48,49,52,60,63,90–93 Following the seminal experimental-simulation work by Spach and co-workers, 94 atrial modeling results 43,48,49,58,60,70 have similarly demonstrated that intrinsic differences in APD in the various atrial structures additionally predispose the atria to rhythm disorders. Local variation of wall thickness resulting from the presence of PMs has been shown 90,93,95 to increase the downstream load on a propagating wavefront and result in wave break-up.…”

Section: Exploring Atrial Fibrillation Mechanisms: Insights From Mmentioning

confidence: 99%

“…68 Subsequently, atrial geometries used in electrophysiological simulations were acquired using magnetic resonance imaging (MRI) 53,54,61,62,69 (Fig. 2B) as well as computed tomography (CT) 70 ; refer to 71 for a review of image acquisition. An informative comparison between some of the different geometries used in human atrial modeling can be found in Fig.…”

Section: Modeling Atrial Fibrillation: Overview Of Approachesmentioning

confidence: 99%

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Mathematical Approaches to Understanding and Imaging Atrial Fibrillation

Trayanova

2014

Circulation Research

110

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Atrial fibrillation (AF) is the most common sustained arrhythmia in humans. The mechanisms that govern AF initiation and persistence are highly complex, of dynamic nature, and involve interactions across multiple temporal and spatial scales in the atria. This articles aims to review the mathematical modeling and computer simulation approaches to understanding AF mechanisms and aiding in its management. Various atrial modeling approaches are presented, with descriptions of the methodological basis and advancements in both lower-dimensional and realistic geometry models. A review of the most significant mechanistic insights made by atrial simulations is provided. The article showcases the contributions that atrial modeling and simulation have made not only to our understanding of the pathophysiology of atrial arrhythmias, but also to the development of AF management approaches. A summary of the future developments envisioned for the field of atrial simulation and modeling is also presented. The review contends that computational models of the atria assembled with data from clinical imaging modalities that incorporate electrophysiological and structural remodeling could become a first line of screening for new AF therapies and approaches, new diagnostic developments, and new methods for arrhythmia prevention.

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Section: Exploring Atrial Fibrillation Mechanisms: Insights From Mmentioning

confidence: 99%

Section: Modeling Atrial Fibrillation: Overview Of Approachesmentioning

confidence: 99%

Mathematical Approaches to Understanding and Imaging Atrial Fibrillation

Trayanova

2014

Circulation Research

110

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“…Since then, a variety of such models were published [17][18][19][20]. A comprehensive review about anatomical models used for the simulation of AF can be found in [2].…”

Section: Existing Geometrical Modelsmentioning

confidence: 99%

“…In order to generate more region-specific models, ion current conductivities in the models have been adjusted to reconstruct action potentials of different regions [18,19]. These heterogeneities play a major role in the repolarization process and might also influence the behavior of atrial arrhythmia [20]. The heterogeneity presented in [18] is illustrated in Figure 16.3b.…”

Section: Existing Electrophysiological Modelsmentioning

confidence: 99%

Personalized Electrophysiological Modeling of the Human Atrium

2012

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Numerical and patient-specific models of the human atrial anatomy and electrophysiology have a high potential to enhance our knowledge regarding pathological conditions and to increase the outcome of diagnosis and therapy. This chapter briefly describes the current state of the art in modeling of generalized human atria. Furthermore, the chapter demonstrates ways to personalize human atrial anatomy and electrophysiology based on a variety of measurement data from, e.g. late enhancement magnetic resonance imaging (MRI), patch clamp technique, intracardiac electrograms and body surface potential maps. Wherever patient data cannot be collected, patient-group specific behavior can be integrated. Some examples of the personalization process are described and the validation process is discussed together with future options for personalization, validation and application.

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“…The corresponding author is E. Vigmond edward.vigmond@ u-bordeaux1.fr Models with wall thickness have been constructed using finite elements [4], finite volumes [5], finite differences [6] and cables [7]. While these models offer a more complete description, they can quickly increase the computational load especially for larger human hearts.…”

Section: Introductionmentioning

confidence: 99%

A bilayer representation of the human atria

Vigmond¹,

Labarthe²,

Cochet³

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-Atrial fibrillation is the most commonly encountered clinical arrhythmia. Despite recent advances in treatment by catheter ablation, its origin is still incompletely understood and it may be difficult to treat. Computer modelling offers an attractive complement to experiment. Simulations of fibrillation, however, are computationally demanding since the phenomenon requires long periods of observation. Because the atria are thin walled structures, they are often modelled as surfaces. However, this may not always be appropriate as the crista terminalis and pectinate muscles are discrete fibrous structures lying on the endocardium and cannot be incorporated into the surface. In the left atrium, there are essentially two layers with an abrupt change in fibre orientation between them. We propose a double layer method, using shell elements to incorporate wall thickness, where fibre direction is independent in each layer and layers are electrically linked. Starting from human multidetector CT (MDCT) images, we extracted surfaces for the atria and manually added a coronary sinus. Propagation of electrical activity was modelled with the monodomain equation. Results indicate that major features are retained while reducing computation cost considerably. Meshes based on the two layer approach will facilitate studies of AF.

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Arrhythmogenic Consequences of Action Potential Duration Gradients in the Atria

Cited by 22 publications

References 56 publications

Mathematical Approaches to Understanding and Imaging Atrial Fibrillation

Mathematical Approaches to Understanding and Imaging Atrial Fibrillation

Personalized Electrophysiological Modeling of the Human Atrium

A bilayer representation of the human atria

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