Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation

Ferrer, Ana; Sebastián, Rafael; Sánchez‐Quintana, Damián; Rodrı́guez, José F.; Godoy, Eduardo Jorge; Martínez, Laura Marqués; Sáiz, Javier

doi:10.1371/journal.pone.0141573

Cited by 78 publications

(142 citation statements)

References 67 publications

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“…The multiscale model provided [9] could be very useful to study the spatial origin of ectopic atrial excitations, atrial arrhythmias or any other pathological atrial condition with a more curate methodology.…”

Section: Discussionmentioning

confidence: 99%

“…The torso model developed in [9] was re-meshed to improve the spatial resolution in the endocardium-blood interface to enhance the accuracy in the region where the atrial and torso models couples. The resulting volumetric mesh has 254.976 nodes and 1.554.255 tetrahedral elements.…”

Section: Anatomical Multi-scale Modelmentioning

confidence: 99%

“…Nine cellular models of atrial myocytes were considered by adjusting the original model parameters at several regions. Heterogeneous atrial tissue properties were also set in different anatomical regions (Figure 1a) as defined in [9].…”

Section: Biophysical Simulationsmentioning

confidence: 99%

“…However, the influence of these bridges on the depolarization wavefront were partly taken into account in the multi-scale 3D human atrial-torso models previously developed by our group [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…The present study combines our most recent multi-scale 3D human atrial-torso model [9] with the analysis of BSPiMs with the aim of determining which configuration of the CS-LA connections reproduces more accurately the set of clinically observed body surface P-wave integral maps (BSPiM).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of in:silico Body Surface P:wave Integral Maps show important differences depending on the connections between Coronary Sinus and Left Atrium

Ferrer-Albero

Godoy

Sebastián

et al. 2016

2016 Computing in Cardiology Conference (CinC)

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The electrical connections between the atrial coronary sinus (CS) IntroductionBody surface potential mapping (BSPM) systems offer non-invasive ways to explore the behaviour of the atria. However, it is still very difficult to determine the specific location of ectopic foci when disturbances appear on the recorded signals by only analysing the BSPM. Instead, some experimental studies [1,2] have built and exploited a database of clinical patterns obtained from patients who underwent paced mapping before a diagnostic electrophysiological study. These patterns correspond to body surface P-wave integral maps (BSPiM) where ectopic beats are paced in different atrial sites, and are used to infer how the atria is really activating and how its electrical contribution is observed on the torso surface. This indicator is well correlated with P-wave polarity and amplitude and more importantly, it is robust against fast polarity changes and interpatient variability. To be able to get insight into those clinical studies, biophysical models can be used to analyse the relationship between ectopic atrial activity and BSPiM. However, it requires a very accurate atrial model capable of reproducing existing clinical measurements. This atrial model must include all the anatomical regions to allow the electrical wavefront propagates following muscular connections.In this respect, several clinical studies of the human atria have histologically shown the existence of striated myocardial muscle at discrete locations along the sleeve of the coronary sinus (CS) that electrically connects CS and the left atrial (LA) myocardium [3,4]. The anatomy of these interatrial connections and their location have been previously shown as having high variability between patients. This leads to strong differences in the pathway followed by the atrial depolarization wavefront [3] and influences the BSPiM.Up to now, there is no consensus on the number and location of these muscular connections so 3D computational models of the human atrial anatomy and electrophysiology have not historically included the CS and its bridges to LA as an essential region responsible for the depolarization atrial pattern [5][6][7][8]. However, the influence of these bridges on the depolarization wavefront were partly taken into account in the multi-scale 3D human atrial-torso models previously developed by our group [9,10].The present study combines our most recent multi-scale 3D human atrial-torso model [9] with the analysis of BSPiMs with the aim of determining which configuration of the CS-LA connections reproduces more accurately the set of clinically observed body surface P-wave integral maps (BSPiM). 2.Material and methods Anatomical multi-scale modelOur 3D human atrial model consists of a computational finite element mesh with a homogeneous wall thickness between 600 and 900 μm (754.893 nodes and 515.005 elements), built with linear hexahedral elements and with

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Section: Discussionmentioning

confidence: 99%

Section: Anatomical Multi-scale Modelmentioning

confidence: 99%

Section: Biophysical Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analysis of in:silico Body Surface P:wave Integral Maps show important differences depending on the connections between Coronary Sinus and Left Atrium

Ferrer-Albero

Godoy

Sebastián

et al. 2016

2016 Computing in Cardiology Conference (CinC)

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An atlas‐ and data‐driven approach to initializing reaction‐diffusion systems in computer cardiac electrophysiology

Hoogendoorn

Sebastián

Rodrı́guez

et al. 2016

Numer Methods Biomed Eng

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The cardiac electrophysiology (EP) problem is governed by a nonlinear anisotropic reaction-diffusion system with a very rapidly varying reaction term associated with the transmembrane cell current. The nonlinearity associated with the cell models requires a stabilization process before any simulation is performed. More importantly, when used in a 3-dimensional (3D) anatomy, it is not sufficient to perform this stabilization on the basis of isolated cells only, since the coupling of the different cells through the tissue greatly modulates the dynamics of the system. Therefore, stabilization of the system must be performed on the entire 3D model. This work develops a novel procedure for the initialization of reaction-diffusion systems for numerical simulations of cardiac EP from steady-state conditions. We exploit surface point correspondence to establish volumetric point correspondence. Upon introduction of a new 3D anatomy with surface point correspondence, a prediction of the cell model steady states is derived from the set of earlier biophysical simulations. We show that the prediction error is typically less than 10% for all model variables, with most variables showing even greater accuracy. When initializing simulations with the predicted model states, it is demonstrated that simulation times can be cut by at least two-thirds and potentially more, which saves hours or days of high-performance computing. Overall, these results increase the clinical applicability of detailed computational EP studies on personalized anatomies.

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Analysis of a coupled fluid‐structure interaction model of the left atrium and mitral valve

Feng

Gao

Griffith

et al. 2019

Numer Methods Biomed Eng

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We present a coupled left atrium‐mitral valve model based on computed tomography scans with fibre‐reinforced hyperelastic materials. Fluid‐structure interaction is realised by using an immersed boundary‐finite element framework. Effects of pathological conditions, eg, mitral valve regurgitation and atrial fibrillation, and geometric and structural variations, namely, uniform vs non‐uniform atrial wall thickness and rule‐based vs atlas‐based fibre architectures, on the system are investigated. We show that in the case of atrial fibrillation, pulmonary venous flow reversal at late diastole disappears, and the filling waves at the left atrial appendage orifice during systole have reduced magnitude. In the case of mitral regurgitation, a higher atrial pressure and disturbed flows are seen, especially during systole, when a large regurgitant jet can be found with the suppressed pulmonary venous flow. We also show that both the rule‐based and atlas‐based fibre defining methods lead to similar flow fields and atrial wall deformations. However, the changes in wall thickness from non‐uniform to uniform tend to underestimate the atrial deformation. Using a uniform but thickened wall also lowers the overall strain level. The flow velocity within the left atrial appendage, which is important in terms of appendage thrombosis, increases with the thickness of the left atrial wall. Energy analysis shows that the kinetic and dissipation energies of the flow within the left atrium are altered differently by atrial fibrillation and mitral valve regurgitation, providing a useful indication of the atrial performance in pathological situations.

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Detailed Anatomical and Electrophysiological Models of Human Atria and Torso for the Simulation of Atrial Activation

Cited by 78 publications

References 67 publications

Analysis of in:silico Body Surface P:wave Integral Maps show important differences depending on the connections between Coronary Sinus and Left Atrium

Analysis of in:silico Body Surface P:wave Integral Maps show important differences depending on the connections between Coronary Sinus and Left Atrium

An atlas‐ and data‐driven approach to initializing reaction‐diffusion systems in computer cardiac electrophysiology

Analysis of a coupled fluid‐structure interaction model of the left atrium and mitral valve

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