Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/118312
Title: Minimal Functional Clusters Predict the Probability of Reentry in Cardiac Fibrotic Tissue
Authors: Pashakhanloo, F.
Panfilov, A. V.
Issue Date: 2021
Publisher: American Physical Society
Citation: Pashakhanloo F. Minimal Functional Clusters Predict the Probability of Reentry in Cardiac Fibrotic Tissue / F. Pashakhanloo, A. V. Panfilov // Physical Review Letters. — 2021. — Vol. 127. — Iss. 9. — 98101.
Abstract: Cardiac fibrosis is a well-known arrhythmogenic condition which can lead to sudden cardiac death. Physically, fibrosis can be viewed as a large number of small obstacles in an excitable medium, which may create nonlinear wave turbulence or reentry. The relation between the specific texture of fibrosis and the onset of reentry is of great theoretical and practical importance. Here, we present a conceptual framework which combines functional aspects of propagation manifested as conduction blocks, with reentry wavelength and geometrical clusters of fibrosis. We formulate them into the single concept of minimal functional cluster and through extensive simulations show that it characterizes the path of reexcitation accurately, and importantly its size distribution quantitatively predicts the reentry probability for different fibrosis densities and tissue excitabilities. © 2021 American Physical Society.
Keywords: TEXTURES
TISSUE
CONCEPTUAL FRAMEWORKS
CONDUCTION BLOCK
EXCITABLE MEDIUM
EXTENSIVE SIMULATIONS
FIBROTIC TISSUE
FUNCTIONAL ASPECTS
PRACTICAL IMPORTANCE
SUDDEN CARDIAC DEATHS
PROBABILITY DISTRIBUTIONS
ACTION POTENTIAL
BIOLOGICAL MODEL
CARDIAC MUSCLE
CLUSTER ANALYSIS
FIBROSIS
HEART MUSCLE CONDUCTION SYSTEM
HUMAN
NONLINEAR SYSTEM
PATHOLOGY
PATHOPHYSIOLOGY
ACTION POTENTIALS
CLUSTER ANALYSIS
FIBROSIS
HEART CONDUCTION SYSTEM
HUMANS
MODELS, CARDIOVASCULAR
MYOCARDIUM
NONLINEAR DYNAMICS
URI: http://hdl.handle.net/10995/118312
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85114510761
ISSN: 319007
DOI: 10.1103/PhysRevLett.127.098101
metadata.dc.description.sponsorship: American Heart Association, AHA: 18POST33990040; Ministry of Education and Science of the Russian Federation, Minobrnauka: 075-15-2020-926; I.M. Sechenov First Moscow State Medical University, MSMU
F. P. acknowledges support from the American Heart Association (18POST33990040). Research at Sechenov University (A. V. P.) was financed by the Ministry of Science and Higher Education of the Russian Federation within the framework of state support for creation and development of World-Class Research Center “Digital biodesign and personalized healthcare” No. 075-15-2020-926.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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