ArticleBiophysical journal2009
Parameter sensitivity analysis in electrophysiological models using multivariable regression.
Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers.
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Who cites it
154 citing papers in PubMed, 276 citations in OpenAlex.
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- Sex-specific virtual population for the prediction and assessment of arrhythmia risk.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
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- A novel computational model of human iPSC-derived ventricular myocytes with improved L-type calcium current for application to Timothy syndrome.Scientific reports · 2026Article
- Predicting Sex-Specific Antiarrhythmic Strategies for Atrial Fibrillation through a Regression-Guided Computational Modeling Pipeline.bioRxiv : the preprint server for biology · 2026Article
- Abnormal calcium release and delayed afterdepolarizations: A comparison of two mathematical models for human ventricular myocytes.PloS one · 2026Article
- Strategies for prolonging ventricular action potential duration without increasing transmural dispersion of repolarization.Physiological reports · 2025Article
- Development and Clinical Validation of a Cross-Sex Translator of ECG Drug Responses.JACC. Clinical electrophysiology · 2025Article
- Exploring the mechanisms of sex-specific proarrhythmia in long QT syndrome through computational modeling.American journal of physiology. Heart and circulatory physiology · 2025Article
- A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes.Royal Society open science · 2025Article
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- Reconstructing ventricular cardiomyocyte dynamics and parameter estimation using data assimilation.Biophysical journal · 2024Article
- A novel computational model of swine ventricular myocyte reveals new insights into disease mechanisms and therapeutic approaches in Timothy Syndrome.Scientific reports · 2024Article
- Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments.PLoS computational biology · 2024Article
- Cell-to-cell heterogeneity in ion channel conductance impacts substrate vulnerability to arrhythmia.American journal of physiology. Heart and circulatory physiology · 2024Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Development ofTranslational and clinical pharmacology · 2024Article
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- Creating cell-specific computational models of stem cell-derived cardiomyocytes using optical experiments.bioRxiv : the preprint server for biology · 2024Article
94 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Computational models of electrical activity and calcium signaling in cardiac myocytes are important tools for understanding physiology. The sensitivity of these models to changes in parameters is often not well-understood, however, because parameter evaluation can be a time-consuming, tedious process. I demonstrate here what I believe is a novel method for rapidly determining how changes in parameters affect outputs. In three models of the ventricular action potential, parameters were randomized, repeated simulations were run, important outputs were calculated, and multivariable regression was performed on the collected results. Random parameters included both maximal rates of ion transport and gating variable characteristics. The procedure generated simplified, empirical models that predicted outputs resulting from new sets of input parameters. The linear regression models were quite accurate, despite nonlinearities in the mechanistic models. Moreover, the regression coefficients, which represent parameter sensitivities, were robust, even when parameters were varied over a wide range. Most importantly, a side-by-side comparison of two similar models identified fundamental differences in model behavior, and revealed model predictions that were both consistent with, and inconsistent with, experimental data. This new method therefore shows promise as a tool for the characterization and assessment of computational models. The general strategy may also suggest methods for integrating traditional quantitative models with large-scale data sets obtained using high-throughput technologies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.