Atrial fibrillation (AF) is the most common cardiac arrhythmia in clinical practice, with a great impact on public health due to its morbidity and mortality and costs in health systems. Cardiac fibrosis is a pathological response that causes abnormal conduction of the electrical action potential and, consequently, mechanical dysfunction. Fibrosis comprises the excessive accumulation of collagenous tissue synthesized from cells called fibroblasts. Recently, it has been shown that fibrotic cells influence and modify cardiac electrical properties, however, the effect of their spatial distribution and density on the evolution of AF has been little studied. The study of the characteristics of the electrograms recorded on areas with fibrosis and their relationship with arrhythmogenic sources is an important contribution to the treatment of AF. This project seeks to study the effect of fibrosis distribution and density on electrical conduction patterns and vulnerability to AF, through computational simulation. The study will be carried out by implementing mathematical cellular models of cardiomyocytes and fibroblasts, coupled to a 3D model of the human atrium, which allows the simulation of AF episodes and the obtaining of the corresponding electrograms. The results of the study of the effects of the distribution and density of fibrosis will contribute to a better understanding of the mechanisms that generate and sustain AF.
To study, through computational simulation, the effect of fibrosis distribution and density on electrical conduction patterns and vulnerability to atrial fibrillation.
The development of this project will contribute to the generation of new knowledge related to the effect of fibrosis, its distribution and density, relevant for the design of better strategies for the treatment of persistent AF. 1 ISI WOS or Scopus article accepted at month 12, 1 doctoral student link at month 6.
|Short title||Fibrosis-Simulación 3D|
|Effective start/end date||15/01/20 → 29/01/21|
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