A computational model of rabbit geometry and ECG: Optimizing ventricular activation sequence and APD distribution

Moss, Robin; Wülfers, Eike M.; Lewetag, Raphaela; Hornyik, Tibor; Perez-Feliz, Stefanie; Strohbach, Tim; Menza, Marius; Krafft, Axel J.; Odening, Katja E.; Seemann, Gunnar

doi:10.1371/journal.pone.0270559

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…We use the electrophysiological parameters from [30], including cardiac fiber orientation, lead fields Z l , and conduction velocity. In the conducted experiment, we chose K 0 = −85 mV, K 1 = 30 mV, τ 1 = 1 ms in (15).…”

Section: B Body Potential Surface Map Reconstruction 1) Setupmentioning

confidence: 99%

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach

Grandits,

Verhülsdonk,

Haase

et al. 2024

IEEE Trans. Biomed. Eng.

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The eikonal equation has become an indispensable tool for modeling cardiac electrical activation accurately and efficiently. In principle, by matching clinically recorded and eikonal-based electrocardiograms (ECGs), it is possible to build patient-specific models of cardiac electrophysiology in a purely non-invasive manner. Nonetheless, the fitting procedure remains a challenging task.The present study introduces a novel method, Geodesic-BP, to solve the inverse eikonal problem. Geodesic-BP is well-suited for GPU-accelerated machine learning frameworks, allowing us to optimize the parameters of the eikonal equation to reproduce a given ECG.We show that Geodesic-BP can reconstruct a simulated cardiac activation with high accuracy in a synthetic test case, even in the presence of modeling inaccuracies. Furthermore, we apply our algorithm to a publicly available dataset of a biventricular rabbit model, with promising results.Given the future shift towards personalized medicine, Geodesic-BP has the potential to help in future functionalizations of cardiac models meeting clinical time constraints while maintaining the physiological accuracy of state-ofthe-art cardiac models.

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Section: B Body Potential Surface Map Reconstruction 1) Setupmentioning

confidence: 99%

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach

Grandits,

Verhülsdonk,

Haase

et al. 2024

IEEE Trans. Biomed. Eng.

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An explicit local space-time adaptive framework for monodomain models in cardiac electrophysiology

Ogiermann,

Balzani,

Perotti

2024

Computer Methods in Applied Mechanics and Engineering

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Mechano‐electrical interactions and heterogeneities in wild‐type and drug‐induced long QT syndrome rabbits

Lewetag

Nimani

Alerni

et al. 2023

The Journal of Physiology

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Electromechanical reciprocity – comprising electro‐mechanical (EMC) and mechano‐electric coupling (MEC) – provides cardiac adaptation to changing physiological demands. Understanding electromechanical reciprocity and its impact on function and heterogeneity in pathological conditions – such as (drug‐induced) acquired long QT syndrome (aLQTS) – might lead to novel insights in arrhythmogenesis. Our aim is to investigate how electrical changes impact on mechanical function (EMC) and vice versa (MEC) under physiological conditions and in aLQTS. To measure regional differences in EMC and MEC in vivo, we used tissue phase mapping cardiac MRI and a 24‐lead ECG vest in healthy (control) and IKr‐blocker E‐4031‐induced aLQTS rabbit hearts. MEC was studied in vivo by acutely increasing cardiac preload, and ex vivo by using voltage optical mapping (OM) in beating hearts at different preloads. In aLQTS, electrical repolarization (heart rate corrected RT‐interval, RTn370) was prolonged compared to control (P < 0.0001) with increased spatial and temporal RT heterogeneity (P < 0.01). Changing electrical function (in aLQTS) resulted in significantly reduced diastolic mechanical function and prolonged contraction duration (EMC), causing increased apico‐basal mechanical heterogeneity. Increased preload acutely prolonged RTn370 in both control and aLQTS hearts (MEC). This effect was more pronounced in aLQTS (P < 0.0001). Additionally, regional RT‐dispersion increased in aLQTS. Motion‐correction allowed us to determine APD‐prolongation in beating aLQTS hearts, but limited motion correction accuracy upon preload‐changes prevented a clear analysis of MEC ex vivo. Mechano‐induced RT‐prolongation and increased heterogeneity were more pronounced in aLQTS than in healthy hearts. Acute MEC effects may play an additional role in LQT‐related arrhythmogenesis, warranting further mechanistic investigations. imageKey points Electromechanical reciprocity comprising excitation‐contraction coupling (EMC) and mechano‐electric feedback loops (MEC) is essential for physiological cardiac function. Alterations in electrical and/or mechanical heterogeneity are known to have potentially pro‐arrhythmic effects. In this study, we aimed to investigate how electrical changes impact on the mechanical function (EMC) and vice versa (MEC) both under physiological conditions (control) and in acquired long QT syndrome (aLQTS). We show that changing the electrical function (in aLQTS) results in significantly altered mechanical heterogeneity via EMC and, vice versa, that increasing the preload acutely prolongs repolarization duration and increases electrical heterogeneity, particularly in aLQTS as compared to control. Our results substantiate the hypothesis that LQTS is an ‛electro‐mechanical’, rather than a ‘purely electrical’, disease and suggest that acute MEC effects may play an additional role in LQT‐related arrhythmogenesis.

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A computational model of rabbit geometry and ECG: Optimizing ventricular activation sequence and APD distribution

Cited by 3 publications

References 36 publications

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach

Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach

An explicit local space-time adaptive framework for monodomain models in cardiac electrophysiology

Mechano‐electrical interactions and heterogeneities in wild‐type and drug‐induced long QT syndrome rabbits

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