A multiphysics neuron model for cellular volume dynamics (Lee et al. 2011)

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This paper introduces a novel neuron model, where the cell volume is a time-varying variable and multiple physical principles are combined to build governing equations. Using this model, we analyzed neuronal volume responses during excitation, which elucidated the waveforms of fast intrinsic optical signals observed experimentally across the literature. In addition, we analyzed volume responses on a longer time scale with repetitive stimulation to study the characteristics of slow cell swelling.
1 . Lee J, Boas DA, Kim SJ (2011) Multiphysics neuron model for cellular volume dynamics. IEEE Trans Biomed Eng 58:3000-3 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Hodgkin-Huxley neuron;
Channel(s): I K; I Sodium; I_K,Na; Na/K pump; I Cl, leak; Osmosis-driven water flux;
Gap Junctions:
Receptor(s): Ion Receptors;
Simulation Environment: MATLAB;
Model Concept(s): Action Potentials; Cellular volume dynamics;
Implementer(s): Antic, Srdjan [antic at neuron.uchc.edu]; Lee, Jonghwan [jonghwan at nmr.mgh.harvard.edu];
Search NeuronDB for information about:  Ion Receptors; I K; I Sodium; I_K,Na; Na/K pump; I Cl, leak; Osmosis-driven water flux;
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