ArticlePLoS computational biology2021
An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 24 citations in OpenAlex.
- Investigate channel rectifications and neural dynamics by an electrodiffusive Gauss-Nernst-Planck approach.PLoS computational biology · 2025Article
- An electrodiffusive network model with multicompartmental neurons and synaptic connections.PLoS computational biology · 2024Article
- Physiological paradigm for assessing reward prediction and extinction using cortical direct current potential responses in rats.Scientific reports · 2024Article
- Uncertainty quantification and sensitivity analysis of neuron models with ion concentration dynamics.PloS one · 2024Article
- Stretch-activated ion channel TMEM63B associates with developmental and epileptic encephalopathies and progressive neurodegeneration.American journal of human genetics · 2023Article
- Advances in the Electrophysiological Recordings of Long-Term Potentiation.International journal of molecular sciences · 2023Review
- Analysis of Network Models with Neuron-Astrocyte Interactions.Neuroinformatics · 2023Article
- Temporal dynamics of Na/K pump mediated memory traces: insights from conductance-based models ofFrontiers in neuroscience · 2023Article
- Lactate supply overtakes glucose when neural computational and cognitive loads scale up.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Reaction-diffusion models in weighted and directed connectomes.PLoS computational biology · 2022Article
- Superconducting Bio-Inspired Au-Nanowire-Based Neurons.Nanomaterials (Basel, Switzerland) · 2022Article
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3 authors at 2 institutions in 1 country.
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Abstract
Within the computational neuroscience community, there has been a focus on simulating the electrical activity of neurons, while other components of brain tissue, such as glia cells and the extracellular space, are often neglected. Standard models of extracellular potentials are based on a combination of multicompartmental models describing neural electrodynamics and volume conductor theory. Such models cannot be used to simulate the slow components of extracellular potentials, which depend on ion concentration dynamics, and the effect that this has on extracellular diffusion potentials and glial buffering currents. We here present the electrodiffusive neuron-extracellular-glia (edNEG) model, which we believe is the first model to combine compartmental neuron modeling with an electrodiffusive framework for intra- and extracellular ion concentration dynamics in a local piece of neuro-glial brain tissue. The edNEG model (i) keeps track of all intraneuronal, intraglial, and extracellular ion concentrations and electrical potentials, (ii) accounts for action potentials and dendritic calcium spikes in neurons, (iii) contains a neuronal and glial homeostatic machinery that gives physiologically realistic ion concentration dynamics, (iv) accounts for electrodiffusive transmembrane, intracellular, and extracellular ionic movements, and (v) accounts for glial and neuronal swelling caused by osmotic transmembrane pressure gradients. The edNEG model accounts for the concentration-dependent effects on ECS potentials that the standard models neglect. Using the edNEG model, we analyze these effects by splitting the extracellular potential into three components: one due to neural sink/source configurations, one due to glial sink/source configurations, and one due to extracellular diffusive currents. Through a series of simulations, we analyze the roles played by the various components and how they interact in generating the total slow potential. We conclude that the three components are of comparable magnitude and that the stimulus conditions determine which of the components that dominate.
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