PLoS Computational Biology
Public Library of Science
An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms
Volume: 16, Issue: 4
DOI 10.1371/journal.pcbi.1007661

Table of Contents




Neurons generate their electrical signals by letting ions pass through their membranes. Despite this fact, most models of neurons apply the simplifying assumption that ion concentrations remain effectively constant during neural activity. This assumption is often quite good, as neurons contain a set of homeostatic mechanisms that make sure that ion concentrations vary quite little under normal circumstances. However, under some conditions, these mechanisms can fail, and ion concentrations can vary quite dramatically. Standard models are thus not able to simulate such conditions. Here, we present what to our knowledge is the first multicompartmental neuron model that accounts for ion concentration variations in a way that ensures complete and consistent ion concentration and charge conservation. In this work, we use the model to explore under which activity conditions the ion concentration variations become important for predicting the neurodynamics. We expect the model to be of great value for the field of neuroscience, as it can be used to simulate a range of pathological conditions, such as spreading depression or epilepsy, which are associated with large changes in extracellular ion concentrations. electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms&author=Marte J. Sætra,Gaute T. Einevoll,Geir Halnes,William W Lytton,William W Lytton,Kim T. Blackwell,William W Lytton,Kim T. Blackwell,William W Lytton,Kim T. Blackwell,&keyword=&subject=Research Article,Biology and Life Sciences,Cell Biology,Cellular Types,Animal Cells,Neurons,Neuronal Dendrites,Biology and Life Sciences,Neuroscience,Cellular Neuroscience,Neurons,Neuronal Dendrites,Biology and Life Sciences,Cell Biology,Cellular Types,Animal Cells,Neurons,Biology and Life Sciences,Neuroscience,Cellular Neuroscience,Neurons,Biology and Life Sciences,Physiology,Electrophysiology,Membrane Potential,Medicine and Health Sciences,Physiology,Electrophysiology,Membrane Potential,Research and Analysis Methods,Simulation and Modeling,Biology and Life Sciences,Physiology,Physiological Processes,Homeostasis,Homeostatic Mechanisms,Medicine and Health Sciences,Physiology,Physiological Processes,Homeostasis,Homeostatic Mechanisms,Biology and Life Sciences,Cell Biology,Cellular Structures and Organelles,Cell Membranes,Intracellular Membranes,Biology and Life Sciences,Physiology,Electrophysiology,Membrane Potential,Action Potentials,Medicine and Health Sciences,Physiology,Electrophysiology,Membrane Potential,Action Potentials,Biology and Life Sciences,Physiology,Electrophysiology,Neurophysiology,Action Potentials,Medicine and Health Sciences,Physiology,Electrophysiology,Neurophysiology,Action Potentials,Biology and Life Sciences,Neuroscience,Neurophysiology,Action Potentials,Biology and Life Sciences,Cell Biology,Extracellular Space,