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Spiral wave drift under optical feedback in cardiac tissue

Yuan-Xun Xia, Xin-Pei Zhi, Teng-Chao Li, Jun-Ting Pan, Alexander V. Panfilov, and Hong Zhang
Phys. Rev. E 106, 024405 – Published 8 August 2022

Abstract

Spiral waves occur in various types of excitable media and their dynamics determine the spatial excitation patterns. An important type of spiral wave dynamics is drift, as it can control the position of a spiral wave or eliminate a spiral wave by forcing it to the boundary. In theoretical and experimental studies of the Belousov-Zhabotinsky reaction, it was shown that the most direct way to induce the controlled drift of spiral waves is by application of an external electric field. Mathematically such drift occurs due to the onset of additional gradient terms in the Laplacian operator describing excitable media. However, this approach does not work for cardiac excitable tissue, where an external electric field does not result in gradient terms. In this paper, we propose a method of how to induce a directed linear drift of spiral waves in cardiac tissue, which can be realized as an optical feedback control in tissue where photosensitive ion channels are expressed. We illustrate our method by using the FitzHugh-Nagumo model for cardiac tissue and the generic model of photosensitive ion channels. We show that our method works for continuous and discrete light sources and can effectively move spiral waves in cardiac tissue, or eliminate them by collisions with the boundary or with another spiral wave. We finally implement our method by using a biophysically motivated photosensitive ion channel model included to the Luo-Rudy model for cardiac cells and show that the proposed feedback control also induces directed linear drift of spiral waves in a wide range of light intensities.

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  • Received 3 November 2021
  • Revised 3 April 2022
  • Accepted 1 June 2022

DOI:https://doi.org/10.1103/PhysRevE.106.024405

©2022 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
Physics of Living Systems

Authors & Affiliations

Yuan-Xun Xia1, Xin-Pei Zhi1, Teng-Chao Li2, Jun-Ting Pan3, Alexander V. Panfilov4,5,6,*, and Hong Zhang1,†

  • 1Zhejiang Institute of Modern Physics, School of Physics, Zhejiang University, Hangzhou 310027, China
  • 2School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China
  • 3Ocean College, Zhejiang University, Zhoushan 316021, China
  • 4Department of Physics and Astronomy, Ghent University, Ghent 9000, Belgium
  • 5Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg 620002, Russia
  • 6World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov University, Moscow 119146, Russia

  • *Corresponding author: Alexander.Panfilov@UGent.be
  • Corresponding author: hongzhang@zju.edu.cn

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Issue

Vol. 106, Iss. 2 — August 2022

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