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A Computer Simulation Study of Anatomy Induced Drift of Spiral Waves in the Human Atrium

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posted on 2025-08-06, 14:16 authored by Sanjay R. Kharche, I. V. Biktasheva, Gunnar Seemann, Henggui Zhang, V. N. Biktashev
The interaction of spiral waves of excitation with atrial anatomy remains unclear. This simulation study isolates the role of atrial anatomical structures on spiral wave spontaneous drift in the human atrium. We implemented realistic and idealised 3D human atria models to investigate the functional impact of anatomical structures on the long-term (~40s) behaviour of spiral waves. The drift of a spiral wave was quantified by tracing its tip trajectory, which was correlated to atrial anatomical features. The interaction of spiral waves with the following idealised geometries was investigated: a) a wedge-like structure with a continuously varying atrial wall thickness; b) a ridge-like structure with a sudden change in atrial wall thickness; c) multiple bridge-like structures consisting of a bridge connected to the atrial wall. Spiral waves drifted from thicker to thinner regions and along ridge-like structures. Break- through patterns caused by pectinate muscles (PM) bridges were also observed, albeit infrequently. Apparent anchoring close to PM-atrial wall junctions was observed. These observations were similar in both the realistic and idealised models. We conclude that spatially altering atrial wall thickness is a significant cause of drift of spiral waves. PM bridges cause break-through patterns and induce transient anchoring of spiral waves.

Funding

EP/I029664/1

EP/I029826/1

EP/I030158/1

Engineering and Physical Sciences Research Council (EPSRC)

PRACE HPC

PRPB09

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This is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Notes

Copyright © Sanjay R. Kharche et al.

Journal

Biomed Research International

Publisher

Hindawi Publishing Corporation

Language

en

Citation

Volume 2015, Article ID 731386

Department

  • Mathematics and Statistics

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