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• W1502330209 abstract "Across individuals within a population, several levels of variability are observed, from the differential expression of ion channels at the molecular level, to the various action potential morphologies observed at the cellular level, to divergent responses to drugs at the organismal level. However, the limited ability of experiments to probe complex interactions between components has hitherto hindered our understanding of the factors that cause a range of behaviours within a population. Variability is a challenging issue that is encountered in all physiological disciplines, but recent work suggests that novel methods for analysing mathematical models can assist in illuminating its causes. In this review, we discuss mathematical modelling studies in cardiac electrophysiology and neuroscience that have enhanced our understanding of variability in a number of key areas. Specifically, we discuss parameter sensitivity analysis techniques that may be applied to generate quantitative predictions based on considering behaviours within a population of models, thereby providing novel insight into variability. Our discussion focuses on four issues that have benefited from the utilization of these methods: (1) the comparison of different electrophysiological models of cardiac myocytes, (2) the determination of the individual contributions of different molecular changes in complex disease phenotypes, (3) the identification of the factors responsible for the variable response to drugs, and (4) the constraining of free parameters in electrophysiological models of heart cells. Together, the studies that we discuss suggest that rigorous analyses of mathematical models can generate quantitative predictions regarding how molecular-level variations contribute to functional differences between experimental samples. These strategies may be applicable not just in cardiac electrophysiology, but in a wide range of disciplines." @default.
• W1502330209 created "2016-06-24" @default.
• W1502330209 creator A5000485841 @default.
• W1502330209 creator A5035862691 @default.
• W1502330209 creator A5045140204 @default.
• W1502330209 date "2012-05-31" @default.
• W1502330209 modified "2023-10-14" @default.
• W1502330209 title "Exploiting mathematical models to illuminate electrophysiological variability between individuals" @default.
• W1502330209 cites W1514256992 @default.
• W1502330209 cites W1545972634 @default.
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• W1502330209 cites W1820338024 @default.
• W1502330209 cites W1965139977 @default.
• W1502330209 cites W1966509643 @default.
• W1502330209 cites W1968906074 @default.
• W1502330209 cites W1971060829 @default.
• W1502330209 cites W1977460091 @default.
• W1502330209 cites W1986200470 @default.
• W1502330209 cites W1990128791 @default.
• W1502330209 cites W1990406674 @default.
• W1502330209 cites W1990432147 @default.
• W1502330209 cites W1990450421 @default.
• W1502330209 cites W1991772876 @default.
• W1502330209 cites W1999253471 @default.
• W1502330209 cites W2016107979 @default.
• W1502330209 cites W2018466809 @default.
• W1502330209 cites W2021722386 @default.
• W1502330209 cites W2022138433 @default.
• W1502330209 cites W2027174003 @default.
• W1502330209 cites W2028420847 @default.
• W1502330209 cites W2030816979 @default.
• W1502330209 cites W2043276871 @default.
• W1502330209 cites W2044024203 @default.
• W1502330209 cites W2045542193 @default.
• W1502330209 cites W2048349186 @default.
• W1502330209 cites W2048701474 @default.
• W1502330209 cites W2049637991 @default.
• W1502330209 cites W2052680247 @default.
• W1502330209 cites W2054260653 @default.
• W1502330209 cites W2055638732 @default.
• W1502330209 cites W2057841956 @default.
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• W1502330209 cites W2075402097 @default.
• W1502330209 cites W2080959388 @default.
• W1502330209 cites W2086484099 @default.
• W1502330209 cites W2092262479 @default.
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• W1502330209 doi "https://doi.org/10.1113/jphysiol.2011.223313" @default.
• W1502330209 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3424714" @default.
• W1502330209 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22495591" @default.
• W1502330209 hasPublicationYear "2012" @default.
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