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Related Concept Videos

Conduction System of the Heart01:20

Conduction System of the Heart

The cardiac conduction system produces and transmits electrical impulses that prompt myocardial contraction, ensuring efficient heart function. This intricate system ensures that the heart beats in a coordinated and efficient manner, beginning with the atria and then the ventricles. The conduction system optimizes cardiac output by maintaining this precise sequence, which is crucial for adequate blood circulation.
This system relies on the unique properties of nodal and Purkinje cells:...
Conduction System of the Heart01:19

Conduction System of the Heart

Autorhythmicity is a term that refers to the heart's inherent ability to generate electrical signals and instigate muscle contractions. This self-regulating conduction system within the heart consists of two key components: the pacemaker cells and specialized conducting cells.
The pacemaker cells are located in two primary nodes: the sinoatrial (SA) node and the atrioventricular (AV) node. The SA node pacemaker cells can autonomously depolarize, triggering an action potential that leads to the...
Cardiac Action Potential01:30

Cardiac Action Potential

Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase of...

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In Silico Clinical Trials for Cardiovascular Disease
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Adaptive multiscale model for simulating cardiac conduction.

Paul E Hand1, Boyce E Griffith

  • 1Leon H Charney Division of Cardiology, New York University School of Medicine, New York, NY 10016, USA.

Proceedings of the National Academy of Sciences of the United States of America
|July 31, 2010
PubMed
Summary
This summary is machine-generated.

A new multiscale model accurately simulates cardiac action potential propagation. This adaptive approach captures complex cellular interactions, improving accuracy over traditional methods for heart muscle cell simulations.

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Area of Science:

  • Computational Biology
  • Biophysics
  • Cardiovascular Physiology

Background:

  • Cardiac action potential propagation is crucial for heart function.
  • Accurate simulation requires modeling tissue-level and cellular-level dynamics.
  • Existing models face challenges with accuracy and computational cost.

Purpose of the Study:

  • To develop and validate a multiscale model for cardiac action potential propagation.
  • To investigate the impact of gap-junctional and ephaptic coupling on conduction.
  • To assess the accuracy and efficiency of the adaptive multiscale approach.

Main Methods:

  • Coupling macroscale partial differential equations (PDEs) with microscale equations.
  • Employing an adaptive numerical scheme that uses microscale equations near wave fronts.
  • Comparing multiscale simulations with fully macroscale and fully microscale models.

Main Results:

  • The adaptive multiscale model accurately reproduced action potential waveforms and speeds compared to the microscale model.
  • Fully macroscale simulations showed sensitivity to grid spacing at low gap-junctional conductivities.
  • Multiscale simulations captured ephaptic coupling effects, unlike fully macroscale models.

Conclusions:

  • The adaptive multiscale model offers an accurate and efficient approach for simulating cardiac conduction.
  • Multiscale modeling is essential for capturing phenomena like ephaptic coupling.
  • Generalizations to higher dimensions are proposed for improved 3D cardiac simulations.