Discover

Multi-scale human cardiac electrophysiology models

Tim Lewis
,
Mao-Tsuen Jeng
,
Pei-Chi Yang
,
Colleen Clancy
,
Elisabetta Iavarone

A computational workflow for integration and implementation of a reusable and reproducible human cardiac multi-scale electrophysiology model. Caption: Illustration of ion channels and action potential propogation in cardiac tissue

Updated on May 10, 2023 (Version 1)

Corresponding Contributor:

Elisabetta Iavarone
Dataset Banner Image
10 Files
164.91 KB
No Records

Dataset Overview

Study Purpose: A multi-layered model representation of the autonomic nervous system that includes sympathetic and parasympathetic branches, each with sparse random intralayer connectivity, synaptic dynamics and conductance based integrate-and-fire neurons, generates firing patterns in agreement with experiment.

Data Collection: Not applicable – a computational study. This work is also based on previous research using Kepler flows to model cardiac physiology

Primary Conclusion: We present a multiscale model of autonomic control of cardiac electrophysiology that integrates data from the atomistic, subcellular, cellular and systems scale and predicts the effect of efferent stimulation of the sympathetic and parasympathetic branches of the autonomic nervous system on the cardiac sinoatrial node and ventricular myocardium.


Curator's Notes

Experimental Design: Multi-scale human cardiac electrophysiology models. The workflow integrates multistep single-cell, 1D and 2D model simulations in a single automated process. The model formulation for ventricular cells from humans Grandi-Bers are implemented in the workflow. The model contains beta-adrenergic signaling pathways and the firing rate model (unpublished Lewis model).

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: A tutorial for this dataset is available here.

Important Notes: In order to access related oSPARC study, you must be logged in to osparc.io. If you don't have an account, write to the Support email to request one.

Files

Root Directory

0 - 0 of 0 files

No files found.

About this dataset

Publishing history

May 10, 2023
Originally Published
May 10, 2023 (Version 1)
Last Updated

Cite this dataset