ReviewMathematical biosciences2010
Models of cardiac excitation-contraction coupling in ventricular myocytes.
Review in Mathematical biosciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Electrophysical cardiac remodeling at the molecular level: Insights into ryanodine receptor activation and calcium-induced calcium release from a stochastic explicit-particle model.Biophysical journal · 2024Article
- Mitochondrial Dysfunction and Ion Imbalance in a Rat Model of Hemodialysis-Induced Myocardial Stunning.Biomedicines · 2024Article
- Review
- CaJournal of molecular and cellular cardiology · 2023Article
- A mathematical model of calcium signals around laser-induced epithelial wounds.Molecular biology of the cell · 2023Article
- Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology.Journal of visualized experiments : JoVE · 2018Article
- Study of the union method of microelectrode array and AFM for the recording of electromechanical activities in living cardiomyocytes.European biophysics journal : EBJ · 2017Article
- Studying dyadic structure-function relationships: a review of current modeling approaches and new insights into CaClinical Medicine Insights. Cardiology · 2017Article
- Numerical Approach to Spatial Deterministic-Stochastic Models Arising in Cell Biology.PLoS computational biology · 2016Article
- Three-dimensional cardiac computational modelling: methods, features and applications.Biomedical engineering online · 2015Review
- A multiscale computational model of spatially resolved calcium cycling in cardiac myocytes: from detailed cleft dynamics to the whole cell concentration profiles.Frontiers in physiology · 2015Article
- Computational modeling of subcellular transport and signaling.Current opinion in structural biology · 2014Review
- Decoding myocardial Ca²⁺ signals across multiple spatial scales: a role for sensitivity analysis.Journal of molecular and cellular cardiology · 2013Review
- Exploiting mathematical models to illuminate electrophysiological variability between individuals.The Journal of physiology · 2012Review
- Mathematical modeling and simulation of ventricular activation sequences: implications for cardiac resynchronization therapy.Journal of cardiovascular translational research · 2012Review
- Models of excitation-contraction coupling in cardiac ventricular myocytes.Methods in molecular biology (Clifton, N.J.) · 2012Article
- Integrative systems models of cardiac excitation-contraction coupling.Circulation research · 2011Review
- Cardiac models in drug discovery and development: a review.Critical reviews in biomedical engineering · 2011Review
- Calcium Sparks in the Heart: Dynamics and Regulation.Research and reports in biologyArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Mathematical and computational modeling of cardiac excitation-contraction coupling has produced considerable insights into how the heart muscle contracts. With the increase in biophysical and physiological data available, the modeling has become more sophisticated with investigations spanning in scale from molecular components to whole cells. These modeling efforts have provided insight into cardiac excitation-contraction coupling that advanced and complemented experimental studies. One goal is to extend these detailed cellular models to model the whole heart. While this has been done with mechanical and electrophysiological models, the complexity and fast time course of calcium dynamics have made inclusion of detailed calcium dynamics in whole heart models impractical. Novel methods such as the probability density approach and moment closure technique which increase computational efficiency might make this tractable.
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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.