Models of neurovascular coupling via potassium and EET signalling

DOI10.1016/j.jtbi.2011.07.006zbMath1397.92108OpenAlexW2123456951WikidataQ49020690 ScholiaQ49020690MaRDI QIDQ1786363

Hannah Farr, Tim David

Publication date: 24 September 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2011.07.006

zbMATH Keywords

neurovascular couplingcerebral blood flow regulationpotassium buffering

Mathematics Subject Classification ID

Neural biology (92C20) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Physiological flows (76Z05) Physiological flow (92C35)

Related Items (12)

Computational analysis of NIRS and BOLD signal from neurovascular coupling with three neuron-system feedforward inhibition network ⋮ The role of astrocytic calcium and TRPV4 channels in neurovascular coupling ⋮ A bidirectional model for communication in the neurovascular unit ⋮ The role of nitric oxide in neurovascular coupling ⋮ Modeling secondary messenger pathways in neurovascular coupling ⋮ Neurovascular coupling and the influence of luminal agonists via the endothelium ⋮ The effects of cerebral curvature on cortical spreading depression ⋮ Global sensitivity analysis of high-dimensional neuroscience models: an example of neurovascular coupling ⋮ A model of neurovascular coupling and its application to cortical spreading depolarization ⋮ Cellular communication among smooth muscle cells: the role of membrane potential via connexins ⋮ Macro scale modelling of cortical spreading depression and the role of astrocytic gap junctions ⋮ Estimating hemodynamic stimulus and blood vessel compliance from cerebral blood flow data

Cites Work

• Numerical simulation of the process of autoregulation of the arterial blood flow
• Coupled autoregulation models in the cerebro-vasculature
• On the origin and dynamics of the vasomotion of small arteries
• Origins of blood volume change due to glutamatergic synaptic activity at astrocytes abutting on arteriolar smooth muscle cells
• An efficient Runge-Kutta \((4,5)\) pair
• Metabotropic receptor activation, desensitization and sequestration. I: Modelling calcium and inositol 1,4,5-trisphosphate dynamics following receptor activation

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