Simulation and viewer for a model of autonomic control of cardiac function contributed by Prof. Guy Kember from Dalhousie University.
Study Purpose: Studying the mechanisms of recurrent myocardial infarction in a computational model.
Data Collection: Not applicable – a computational study.
Primary Conclusion: 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.
Curator's Notes
Experimental Design: Computational model of autonomic control of cardiac function.
Completeness: This dataset is complete.
Subjects & Samples: This is a computational model dataset; thus no subjects are described.
Primary vs derivative data: Not applicable. This is a computational study.
Code Availability: The workflow contains a model of autonomic nervous activity and heart rate. Additionally, a pre-instantiated jupyter notebook is connected that plots the results of simulation. The model here is described in a publication: Recurrent myocardial infarction: Mechanisms of free-floating adaptation and autonomic derangement in networked cardiac neural control.
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Kember, G., Ardell, J. L., Shivkumar, K., & Armour, J. A. (2017). Recurrent myocardial infarction: Mechanisms of free-floating adaptation and autonomic derangement in networked cardiac neural control. PLOS ONE, 12(7), e0180194. https://doi.org/10.1371/journal.pone.0180194