Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/112169
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dc.contributor.authorKonovalov, P.en
dc.contributor.authorMangileva, D.en
dc.contributor.authorDokuchaev, A.en
dc.contributor.authorSolovyova, O.en
dc.contributor.authorPanfilov, A. V.en
dc.date.accessioned2022-05-12T08:29:55Z-
dc.date.available2022-05-12T08:29:55Z-
dc.date.issued2021-
dc.identifier.citationRotational Activity Around an Obstacle in 2d Cardiac Tissue in Presence of Cellular Heterogeneity / P. Konovalov, D. Mangileva, A. Dokuchaev et al. // Mathematics. — 2021. — Vol. 9. — Iss. 23. — 3090.en
dc.identifier.issn2227-7390-
dc.identifier.otherAll Open Access, Green3
dc.identifier.urihttp://hdl.handle.net/10995/112169-
dc.description.abstractWaves of electrical excitation rotating around an obstacle is one of the important mechanisms of dangerous cardiac arrhythmias occurring in the heart damaged by a post-infarction scar. Such a scar is also surrounded by the region of heterogeneity called a gray zone. In this paper, we perform the first comprehensive numerical study of various regimes of wave rotation around an obstacle surrounded by a gray zone. We use the TP06 cellular ionic model for human cardiomyocytes and study how the period and the pattern of wave rotation depend on the radius of a circular obstacle and the width of a circular gray zone. Our main conclusions are the following. The wave rotation regimes can be subdivided into three main classes: (1) functional rotation, (2) scar rotation and the newly found (3) gray zone rotation regimes. In the scar rotation regime, the wave rotates around the obstacle, while in the gray zone regime, the wave rotates around the gray zone. As a result, the period of rotation is determined by the perimeter of the scar, or gray zone perimeter correspondingly. The transition from the scar to the gray rotation regimes can be determined from the minimal period principle, formulated in this paper. We have also observed additional regimes associated with two types of dynamical instabilities which may affect or not affect the period of rota-tion. The results of this study can help to identify the factors determining the period of arrhythmias in post-infarction patients. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.description.sponsorshipA.V.P., P.K., D.M., A.D. and O.S. were funded by the Russian Foundation for Basic Research (№ 18-29-13008). The work of P.K., D.M., A.D. and O.S. was carried out within the framework of the IIF UrB RAS theme No AAAA-A21-121012090093-0.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPIen1
dc.publisherMDPI AGen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceMathematics2
dc.sourceMathematicsen
dc.subjectCARDIAC MODELINGen
dc.subjectGRAY ZONEen
dc.subjectINFARCT BORDER ZONEen
dc.subjectMYOCARDIAL HETEROGENEITYen
dc.subjectMYOCARDIAL INFARCTIONen
dc.subjectRE-ENTRYen
dc.titleRotational Activity Around an Obstacle in 2d Cardiac Tissue in Presence of Cellular Heterogeneityen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.scopus85120405172-
local.contributor.employeeKonovalov, P., Institute of Immunology and Physiology, Ural Branch of Russian Academy of Sciences, Ekaterinburg, 620049, Russian Federation; Mangileva, D., Institute of Immunology and Physiology, Ural Branch of Russian Academy of Sciences, Ekaterinburg, 620049, Russian Federation, Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, 620075, Russian Federation; Dokuchaev, A., Institute of Immunology and Physiology, Ural Branch of Russian Academy of Sciences, Ekaterinburg, 620049, Russian Federation; Solovyova, O., Institute of Immunology and Physiology, Ural Branch of Russian Academy of Sciences, Ekaterinburg, 620049, Russian Federation, Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, 620075, Russian Federation; Panfilov, A.V., Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, 620075, Russian Federation, Department of Physics and Astronomy, Ghent University, Ghent, 9000, Belgium, World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov University, Moscow, 119146, Russian Federationen
local.issue23-
local.volume9-
local.contributor.departmentInstitute of Immunology and Physiology, Ural Branch of Russian Academy of Sciences, Ekaterinburg, 620049, Russian Federation; Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, 620075, Russian Federation; Department of Physics and Astronomy, Ghent University, Ghent, 9000, Belgium; World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov University, Moscow, 119146, Russian Federationen
local.identifier.pure29066142-
local.description.order3090
local.identifier.eid2-s2.0-85120405172-
local.fund.rffi18-29-13008
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