Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control

Atrioventricular nodal reentrant tachycardia (AVNRT) is one of the most common types of paroxysmal supraventricular tachycardia. The activity of the autonomic nervous system (ANS) is known to influence episodes of AVNRT, yet the precise mechanisms underlying this effect remain incompletely understoo...

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Main Authors: Maxim Ryzhii, Elena Ryzhii
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Physiology
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Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1529426/full
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author Maxim Ryzhii
Elena Ryzhii
author_facet Maxim Ryzhii
Elena Ryzhii
author_sort Maxim Ryzhii
collection DOAJ
description Atrioventricular nodal reentrant tachycardia (AVNRT) is one of the most common types of paroxysmal supraventricular tachycardia. The activity of the autonomic nervous system (ANS) is known to influence episodes of AVNRT, yet the precise mechanisms underlying this effect remain incompletely understood. In this study, we update our compact multifunctional model of the rabbit atrioventricular (AV) node with ANS control to simulate AVNRT. The refractoriness of the model cells is adjusted by a specific ANS coefficient, which impacts the effective refractory periods, conduction delays, and intrinsic frequency of pacemaker cells. Using this model, we investigate the onset, sustainability, and spontaneous termination of typical slow-fast and atypical fast-slow forms of AVNRT under ANS modulation. The conditions for the onset and sustainability of AVNRT can exist independently in various combinations. Differences in the effective refractory periods of the slow and fast pathways of the AV node during anterograde and retrograde conduction determine the specific form of AVNRT. For the first time, a computer model reveals the potential to identify hidden processes within the AV node, thereby bringing us closer to understanding the role of ANS control in AVNRT. The results obtained are consistent with clinical and experimental data and represent a novel tool for studying the electrophysiological mechanisms behind this type of arrhythmia.
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spelling doaj-art-04f2878ccf7f430d9fb00f6be3af58272025-01-17T06:50:57ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2025-01-011510.3389/fphys.2024.15294261529426Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system controlMaxim Ryzhii0Elena Ryzhii1Department of Computer Science, University of Aizu, Aizu-Wakamatsu, JapanDepartment of Anatomy and Histology, Fukushima Medical University, Fukushima, JapanAtrioventricular nodal reentrant tachycardia (AVNRT) is one of the most common types of paroxysmal supraventricular tachycardia. The activity of the autonomic nervous system (ANS) is known to influence episodes of AVNRT, yet the precise mechanisms underlying this effect remain incompletely understood. In this study, we update our compact multifunctional model of the rabbit atrioventricular (AV) node with ANS control to simulate AVNRT. The refractoriness of the model cells is adjusted by a specific ANS coefficient, which impacts the effective refractory periods, conduction delays, and intrinsic frequency of pacemaker cells. Using this model, we investigate the onset, sustainability, and spontaneous termination of typical slow-fast and atypical fast-slow forms of AVNRT under ANS modulation. The conditions for the onset and sustainability of AVNRT can exist independently in various combinations. Differences in the effective refractory periods of the slow and fast pathways of the AV node during anterograde and retrograde conduction determine the specific form of AVNRT. For the first time, a computer model reveals the potential to identify hidden processes within the AV node, thereby bringing us closer to understanding the role of ANS control in AVNRT. The results obtained are consistent with clinical and experimental data and represent a novel tool for studying the electrophysiological mechanisms behind this type of arrhythmia.https://www.frontiersin.org/articles/10.3389/fphys.2024.1529426/fullatrioventricular noderabbit heart modelAliev-Panfilov modeldual pathwayautonomic nervous systemAVNRT
spellingShingle Maxim Ryzhii
Elena Ryzhii
Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control
Frontiers in Physiology
atrioventricular node
rabbit heart model
Aliev-Panfilov model
dual pathway
autonomic nervous system
AVNRT
title Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control
title_full Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control
title_fullStr Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control
title_full_unstemmed Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control
title_short Atrioventricular nodal reentrant tachycardia onset, sustainability, and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control
title_sort atrioventricular nodal reentrant tachycardia onset sustainability and spontaneous termination in rabbit atrioventricular node model with autonomic nervous system control
topic atrioventricular node
rabbit heart model
Aliev-Panfilov model
dual pathway
autonomic nervous system
AVNRT
url https://www.frontiersin.org/articles/10.3389/fphys.2024.1529426/full
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AT elenaryzhii atrioventricularnodalreentranttachycardiaonsetsustainabilityandspontaneousterminationinrabbitatrioventricularnodemodelwithautonomicnervoussystemcontrol