Document Detail


Computational approaches to understand cardiac electrophysiology and arrhythmias.
MedLine Citation:
PMID:  22886409     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Cardiac rhythms arise from electrical activity generated by precisely timed opening and closing of ion channels in individual cardiac myocytes. These impulses spread throughout the cardiac muscle to manifest as electrical waves in the whole heart. Regularity of electrical waves is critically important since they signal the heart muscle to contract, driving the primary function of the heart to act as a pump and deliver blood to the brain and vital organs. When electrical activity goes awry during a cardiac arrhythmia, the pump does not function, the brain does not receive oxygenated blood, and death ensues. For more than 50 years, mathematically based models of cardiac electrical activity have been used to improve understanding of basic mechanisms of normal and abnormal cardiac electrical function. Computer-based modeling approaches to understand cardiac activity are uniquely helpful because they allow for distillation of complex emergent behaviors into the key contributing components underlying them. Here we review the latest advances and novel concepts in the field as they relate to understanding the complex interplay between electrical, mechanical, structural, and genetic mechanisms during arrhythmia development at the level of ion channels, cells, and tissues. We also discuss the latest computational approaches to guiding arrhythmia therapy.
Authors:
Byron N Roberts; Pei-Chi Yang; Steven B Behrens; Jonathan D Moreno; Colleen E Clancy
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Publication Detail:
Type:  Journal Article; Review     Date:  2012-08-10
Journal Detail:
Title:  American journal of physiology. Heart and circulatory physiology     Volume:  303     ISSN:  1522-1539     ISO Abbreviation:  Am. J. Physiol. Heart Circ. Physiol.     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-02     Completed Date:  2012-12-14     Revised Date:  2013-10-17    
Medline Journal Info:
Nlm Unique ID:  100901228     Medline TA:  Am J Physiol Heart Circ Physiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  H766-83     Citation Subset:  IM    
Affiliation:
Tri-Institutional MD-PhD Program, Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medical College/The Rockefeller University/Sloan-Kettering Cancer Institute, Weill Medical College of Cornell University, New York, New York, USA.
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MeSH Terms
Descriptor/Qualifier:
Action Potentials
Animals
Arrhythmias, Cardiac / diagnosis,  metabolism,  physiopathology*,  therapy
Computer Simulation*
Energy Metabolism
Excitation Contraction Coupling
Heart Conduction System / metabolism,  physiopathology*
Humans
Ion Channels / metabolism
Models, Cardiovascular*
Myocardial Contraction
Myocytes, Cardiac / metabolism*
Time Factors
Grant Support
ID/Acronym/Agency:
R01 HL085592/HL/NHLBI NIH HHS
Chemical
Reg. No./Substance:
0/Ion Channels
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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