Computational study of the relative contribution of channel and gap junction remodelling on human atrial conduction during fibrillation

H. Zhang, Jiujiang Zhu, C. J. Garratt, A. V. Holden

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Chronic atrial fibrillation (AF) induces remodelling of both channel conductance and intercellular coupling in the human atrium. Effects of these changes and their relative contributions to atrial impulse conduction during fibrillation are unknown. In this study we constructed a virtual human atrial strand by incorporating the Nygren et al model of human atrial action potential into a 1-dimensional reaction diffusion partial differential equation. Experimental data on AF-induced changes of human atrial ionic channel conductances and kinetics and gap junction coupling were incorporated into a model to investigate their contributions and relative importance on conduction velocity (CV) at different rates. At low rates (stimulus interval SI>270 ms), AF-induced channel or gap junction remodelling reduced CV significantly. At high rates (SI<270 ms), channel remodelling increased CV while gap junction remodelling reduced the CV. When combined, channel and gap junction remodelling reduced CV additively. Spatial heterogeneities in gap junction coupling can produce intermittent conduction block.
Original languageEnglish
Title of host publicationComputers in Cardiology 2004
EditorsAlan Murray
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages141-144
Number of pages4
Volume31
ISBN (Print)0780389271
DOIs
Publication statusPublished - Sep 2004
EventComputing in Cardiology - Chicago, United States
Duration: 19 Sep 200422 Sep 2004
Conference number: 31

Conference

ConferenceComputing in Cardiology
Abbreviated titleCinC
CountryUnited States
CityChicago
Period19/09/0422/09/04

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Zhang, H., Zhu, J., Garratt, C. J., & Holden, A. V. (2004). Computational study of the relative contribution of channel and gap junction remodelling on human atrial conduction during fibrillation. In A. Murray (Ed.), Computers in Cardiology 2004 (Vol. 31, pp. 141-144). Piscataway, NJ: IEEE . https://doi.org/10.1109/CIC.2004.1442891