Literature DB >> 16078615

The effect of conductivity on ST-segment epicardial potentials arising from subendocardial ischemia.

Bruce Hopenfeld1, Jeroen G Stinstra, Rob S MacLeod.   

Abstract

We quantify and provide biophysical explanations for some aspects of the relationship between the bidomain conductivities and ST-segment epicardial potentials that result from subendocardial ischemia. We performed computer simulations of ischemia with a realistic whole heart model. The model included a patch of subendocardial ischemic tissue of variable transmural thickness with reduced action potential amplitude. We also varied both intracellular and extracellular conductivities of the heart and the conductivity of ventricular blood in the simulations. At medium or high thicknesses of transmural ischemia (i.e., at least 40% thickness through the heart wall), a consistent pattern of two minima of the epicardial potential over opposite sides of the boundary between healthy and ischemic tissue appeared on the epicardium over a wide range of conductivity values. The magnitude of the net epicardial potential difference, the epicardial maximum minus the epicardial minimum, was strongly correlated to the intracellular to extracellular conductivity ratios both along and across fibers. Anisotropy of the ischemic source region was critical in predicting epicardial potentials, whereas anisotropy of the heart away from the ischemic region had a less significant impact on epicardial potentials. Subendocardial ischemia that extends through at least 40% of the heart wall is manifest on the epicardium by at least one area of ST-segment depression located over a boundary between ischemic and healthy tissue. The magnitude of the depression is a function of the bidomain conductivity values.

Entities:  

Mesh:

Year:  2005        PMID: 16078615     DOI: 10.1007/s10439-005-3236-2

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  10 in total

1.  Modelling passive cardiac conductivity during ischaemia.

Authors:  J G Stinstra; S Shome; B Hopenfeld; R S MacLeod
Journal:  Med Biol Eng Comput       Date:  2005-11       Impact factor: 2.602

2.  Inverse Electrocardiographic Source Localization of Ischemia: An Optimization Framework and Finite Element Solution.

Authors:  Dafang Wang; Robert M Kirby; Rob S Macleod; Chris R Johnson
Journal:  J Comput Phys       Date:  2013-10-01       Impact factor: 3.553

3.  A Framework for Image-Based Modeling of Acute Myocardial Ischemia Using Intramurally Recorded Extracellular Potentials.

Authors:  Brett M Burton; Kedar K Aras; Wilson W Good; Jess D Tate; Brian Zenger; Rob S MacLeod
Journal:  Ann Biomed Eng       Date:  2018-05-21       Impact factor: 3.934

4.  The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart.

Authors:  Brett M Burton; Jess D Tate; Wilson Good; Rob S Macleod
Journal:  Comput Cardiol (2010)       Date:  2017-03-02

5.  The role of extracellular potassium transport in computer models of the ischemic zone.

Authors:  Mark Potse; Ruben Coronel; A-Robert LeBlanc; Alain Vinet
Journal:  Med Biol Eng Comput       Date:  2007-10-30       Impact factor: 2.602

6.  Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations.

Authors:  B M Burton; K K Aras; W W Good; J D Tate; B Zenger; R S MacLeod
Journal:  J Electrocardiol       Date:  2018-05-18       Impact factor: 1.438

Review 7.  Modeling cardiac ischemia.

Authors:  Blanca Rodríguez; Natalia Trayanova; Denis Noble
Journal:  Ann N Y Acad Sci       Date:  2006-10       Impact factor: 5.691

Review 8.  Approaches for determining cardiac bidomain conductivity values: progress and challenges.

Authors:  Barbara M Johnston; Peter R Johnston
Journal:  Med Biol Eng Comput       Date:  2020-10-22       Impact factor: 2.602

9.  ST segment depression: the possible role of global repolarization dynamics.

Authors:  Bruce Hopenfeld
Journal:  Biomed Eng Online       Date:  2007-02-09       Impact factor: 2.819

10.  Quantifying the effect of uncertainty in input parameters in a simplified bidomain model of partial thickness ischaemia.

Authors:  Barbara M Johnston; Sam Coveney; Eugene T Y Chang; Peter R Johnston; Richard H Clayton
Journal:  Med Biol Eng Comput       Date:  2017-09-20       Impact factor: 2.602

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.