Colman, MA orcid.org/0000-0003-2817-8508, Sarathy, PP, MacQuiaide, N et al. (1 more author) (2017) A new model of the human atrial myocyte with variable T-tubule organization for the study of atrial fibrillation. In: Computing in Cardiology 2016 (CinC 2016). CinC 2016, 11-14 Sep 2016, Vancouver, Canada. IEEE, pp. 221-224. ISBN: 9781509008964 ISSN: 2325-8861 EISSN: 2325-887X
Abstract
Atrial fibrillation is the most common arrhythmia, yet treatment strategies are sub-optimal due to incomplete understanding of the underlying mechanisms. Spatio-temporal sub-cellular calcium cycling may play a critical role in the development of alternans and spontaneous activity, which may underlie arrhythmia in the human atria. In this study, we construct a novel electrophysiological model of the human atrial myocyte which incorporates new data on atrial intracellular structure and explicitly accounts for variations in T-tubule organization. The model reproduces spatio-temporal calcium dynamics associated with normal cardiac excitation. In preliminary simulations, the model demonstrates that a loss of T-tubules can promote both alternans and spontaneous calcium waves. The model produced in this study provides novel insight into arrhythmia mechanisms in the human atria and provides a platform for future investigation of pro-arrhythmic calcium dynamics.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | (c) 2017, the Author(s). This is an open access paper under the terms of the Creative Commons Attribution License CC-BY [https://creativecommons.org/licenses/by/2.5/]. |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 15 May 2017 15:42 |
| Last Modified: | 05 Oct 2017 16:17 |
| Status: | Published |
| Publisher: | IEEE |
| Identification Number: | 10.22489/CinC.2016.067-421 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116366 |

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