Fabbri-based composite SAN model

Alan Garny
,
Peter Hunter

CellML version of the Fabbri et al. 2017 human sinoatrial node (SAN) cell model and an ODE-based version of the Gerstner & Kistler 2002 brain stem model combined to demonstrate the effect of brain stem activity on heart rate

Updated on July 3, 2024 (Version 5)

Corresponding Contributor:

Alan Garny
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Dataset Overview

Study Purpose: the Fabbri et al. 2017 human sinoatrial node (SAN) cell model and an ODE-based version of the Gerstner & Kistler 2002 brain stem model were combined to demonstrate the effect of brain stem activity on heart rate.

Data Collection: the Fabbri et al. 2017 SAN model is based on electrophysiological data from isolated human SAN pacemaker cells and closely matches the action potentials and calcium transient that were recorded experimentally. The Gerstner & Kistler 2002 brain stem model is a phenomenological model.

Primary Conclusion: the combined SAN + brain stem model illustrates the effect of brain stem activity on that of the SAN.


Curator's Notes

Experimental Design: This is a computational study.

Completeness: Complete.

Subjects & Samples: Not applicable. This is a computational study.

Primary vs derivative data: Not applicable. This is a computational study, no primary data was collected. Links to instrumented versions of the CellML models and metadata are provided in the dataset_description file.

Code Availability: CellML version of the Fabbri-based composite SAN model.

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About this dataset

Publishing history

July 7, 2021
Originally Published
July 3, 2024 (Version 5)
Last Updated

Cite this dataset

Garny, A., & Hunter, P. (2024). Fabbri-based composite SAN model (Version 5) [Dataset]. SPARC Portal. https://doi.org/10.26275/YBMM-6CRQ

References

References

Gerstner, W., & Kistler, W. M. (2002). Spiking Neuron Models. https://doi.org/10.1017/cbo9780511815706

Described by

Fabbri, A., Fantini, M., Wilders, R., & Severi, S. (2017). Computational analysis of the human sinus node action potential: model development and effects of mutations. The Journal of Physiology, 595(7), 2365–2396. Portico. https://doi.org/10.1113/jp273259