2013
DOI: 10.1016/j.bpj.2012.12.055
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Parameter Sensitivity Analysis of Stochastic Models Provides Insights into Cardiac Calcium Sparks

Abstract: We present a parameter sensitivity analysis method that is appropriate for stochastic models, and we demonstrate how this analysis generates experimentally testable predictions about the factors that influence local Ca(2+) release in heart cells. The method involves randomly varying all parameters, running a single simulation with each set of parameters, running simulations with hundreds of model variants, then statistically relating the parameters to the simulation results using regression methods. We tested … Show more

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Cited by 47 publications
(60 citation statements)
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“…While this approach makes use of validated models that highlight specific characteristics of the physiology, such as a spike-and-dome AP morphology, a more comprehensive and less biased approach to understanding the relationships between MEF mechanisms and model characteristics could be achieved through broader reaching approaches to parameter estimation and sensitivity analyses (Britton et al, 2013; Lee et al, 2013). …”
Section: Discussionmentioning
confidence: 99%
“…While this approach makes use of validated models that highlight specific characteristics of the physiology, such as a spike-and-dome AP morphology, a more comprehensive and less biased approach to understanding the relationships between MEF mechanisms and model characteristics could be achieved through broader reaching approaches to parameter estimation and sensitivity analyses (Britton et al, 2013; Lee et al, 2013). …”
Section: Discussionmentioning
confidence: 99%
“…In addition to the number of RyRs, mathematical modeling studies 17 strongly support the idea that the jSR volume would be an important factor that could interfere with reduce the total amount of Ca 2+ released by CRUs during excitationcontraction coupling. We measured the relative fiber volume occupied by jSR in both WT and R33Q cells ( Table 2, column F) and verified that jSR volume is reduced by ≈30% (P<0.01) in R33Q versus WT (0.33±0.03 versus 0.23±0.02, respectively).…”
Section: Structural and Ultrastructural Features Of R33q Myocytesmentioning
confidence: 93%
“…“Population-based modeling” methods globally probe complex biological systems by studying a large number of model variants with broadly varied parameters to understand how the component parts work together to generate higher-level behaviors. One common application of this strategy, parameter sensitivity analysis [2028], can be used to distill the complex underlying model into readily interpretable sensitivity coefficients that quantify how changes in model parameters affect key behaviors.…”
Section: Introductionmentioning
confidence: 99%