Data from: Recurrent myocardial infarction: mechanisms of free-floating adaptation and autonomic derangement in networked cardiac neural control
Kember, Guy, Dalhousie University
Ardell, Jeffrey, University of California Los Angeles
Shivkumar, Kalyanam, University of California Los Angeles
Armour, J. Andrew, University of California Los Angeles
Published Jun 19, 2018 on Dryad.
Cite this dataset
Kember, Guy; Ardell, Jeffrey; Shivkumar, Kalyanam; Armour, J. Andrew (2018). Data from: Recurrent myocardial infarction: mechanisms of free-floating adaptation and autonomic derangement in networked cardiac neural control [Dataset]. Dryad. https://doi.org/10.5061/dryad.6d87m
The cardiac nervous system continuously controls cardiac function whether or not pathology is present. While myocardial infarction typically has a major and catastrophic impact, population studies have shown that longer-term risk for recurrent myocardial infarction and the related potential for sudden cardiac death depends mainly upon standard atherosclerotic variables and autonomic nervous system maladaptations. Investigative neurocardiology has demonstrated that autonomic control of cardiac function includes local circuit neurons for networked control within the peripheral nervous system. The structural and adaptive characteristics of such networked interactions define the dynamics and a new normal for cardiac control that results in the aftermath of recurrent myocardial infarction and/or unstable angina that may or may not precipitate autonomic derangement. These features are explored here via a mathematical model of cardiac regulation. A main observation is that the control environment during pathology is an extrapolation to a setting outside prior experience. Although global bounds guarantee stability, the resulting closed-loop dynamics exhibited while the network adapts during pathology are aptly described as ‘free-floating’ in order to emphasize their dependence upon details of the network structure. The totality of the results provide a mechanistic reasoning that validates the clinical practice of reducing sympathetic efferent neuronal tone while aggressively targeting autonomic derangement in the treatment of ischemic heart disease.
Networked Mathematical Model
The mathematical model is stored in a zip file. The model is written in JAVA. There is a readme file that explains how to compile and run the file. If there are any questions please contact the first author and full assistance will be supplied.