2011
DOI: 10.1016/j.pbiomolbio.2011.06.011
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3D virtual human atria: A computational platform for studying clinical atrial fibrillation

Abstract: Despite a vast amount of experimental and clinical data on the underlying ionic, cellular and tissue substrates, the mechanisms of common atrial arrhythmias (such as atrial fibrillation, AF) arising from the functional interactions at the whole atria level remain unclear. Computational modelling provides a quantitative framework for integrating such multi-scale data and understanding the arrhythmogenic behaviour that emerges from the collective spatio-temporal dynamics in all parts of the heart. In this study,… Show more

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Cited by 145 publications
(201 citation statements)
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References 60 publications
(110 reference statements)
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“…It adds support to the conclusions of the studies of Aslanidi et al [20,21] in showing the important role of electrical heterogeneity and anisotropy in AF genesis. But the current study is distinct from those previous computational studies [20,21] as the present study focuses on the role of electrical heterogeneity and anisotropy in the initiation of AF in the PV region, rather than in the junction of the PM and CT [20]. In the study of Aslanidi et al [21], simulations were carried out in a model of human atria that implemented rule-based fibre orientation, not anatomically accurate structure determined from experimental reconstruction.…”
Section: Relevance Of the Studysupporting
confidence: 80%
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“…It adds support to the conclusions of the studies of Aslanidi et al [20,21] in showing the important role of electrical heterogeneity and anisotropy in AF genesis. But the current study is distinct from those previous computational studies [20,21] as the present study focuses on the role of electrical heterogeneity and anisotropy in the initiation of AF in the PV region, rather than in the junction of the PM and CT [20]. In the study of Aslanidi et al [21], simulations were carried out in a model of human atria that implemented rule-based fibre orientation, not anatomically accurate structure determined from experimental reconstruction.…”
Section: Relevance Of the Studysupporting
confidence: 80%
“…But the current study is distinct from those previous computational studies [20,21] as the present study focuses on the role of electrical heterogeneity and anisotropy in the initiation of AF in the PV region, rather than in the junction of the PM and CT [20]. In the study of Aslanidi et al [21], simulations were carried out in a model of human atria that implemented rule-based fibre orientation, not anatomically accurate structure determined from experimental reconstruction. The present study is, therefore, the first computational study that investigates the development of AF using an anatomically detailed model that includes heterogeneous electrophysiologically detailed cell models.…”
Section: Relevance Of the Studymentioning
confidence: 94%
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“…Detailed models of human cardiomyocytes have been constructed for pacemaking [5], atrial [6] and ventricular cells [4,7], and been embedded into tissue architecture and organ models based on post-mortem anatomy and architecture [8,9], or atlases of cardiac anatomy [10]. Patient-specific modelling is becoming technically possible.…”
Section: Introductionmentioning
confidence: 99%
“…Detailed electrophysiology cell models have been developed to describe the voltage-and timedependent currents, in human atrial cells (Courtemanche et al 1998;Nygren et al 2001;Maleckar et al 2009) and in human SAN cells (Chandler et al 2011). Those models have been integrated into tissue models of the human atria based on partial descriptions from animal experiments and clinical data to reproduce specific AF patterns (Harrild & Henriquez 2000;Seemann et al 2006;Tobón et al 2008;Aslanidi et al 2011;Tobón et al 2013). To study the spatiotemporal organization of atrial arrhythmias, different techniques are being used, including the analysis of the electrogram morphology, dominant frequency and regularity or organization index (Tobón et al 2012).…”
Section: Technical Motivationmentioning
confidence: 99%