Human atrial fibrillation: insights from computational electrophysiological models

Area of Science:

• Computational electrophysiology
• Cardiac electrophysiology
• Mathematical modeling

Background:

• Cardiac arrhythmias, including atrial fibrillation, are complex conditions.
• Understanding the mechanisms of atrial fibrillation requires investigation at multiple spatial scales.

Purpose of the Study:

• To review the application of mathematical modeling in human atrial myocyte electrophysiology.
• To elucidate the contribution of structural and electrical remodeling to human atrial fibrillation using computational models.

Main Methods:

• Review of computational electrophysiology studies.
• Analysis of mathematical models of human atrial myocytes.
• Investigation of structural and electrical remodeling in silico.

Main Results:

• Mathematical modeling has significantly contributed to understanding human atrial myocyte electrophysiology.
• Computational approaches reveal insights into the role of remodeling in atrial fibrillation.

Conclusions:

• Computational electrophysiology and mathematical modeling are powerful tools for studying cardiac arrhythmias.
• Further model development and investigation are needed to advance understanding of atrial fibrillation.