A model of neurovascular coupling and the BOLD response (Mathias et al 2017, Kenny et al 2018)


Here a lumped parameter numerical model of a neurovascular unit is presented, representing an intercellular communication system based on ion exchange through pumps and channels between neurons, astrocytes, smooth muscle cells, endothelial cells, and the spaces between these cells: the synaptic cleft between the neuron and astrocyte, the perivascular space between the astrocyte and SMC, and the extracellular space surrounding the cells. The model contains various cellular and chemical pathways such as potassium, astrocytic calcium, and nitric oxide. The model is able to simulate neurovascular coupling, the process characterised by an increase in neuronal activity followed by a rapid dilation of local blood vessels and hence increased blood supply providing oxygen and glucose to cells in need. The model also incorporates the BOLD response.

Region(s) or Organism(s): Hippocampus

Transmitters: Glutamate; NO; Ions

Model Concept(s): Action Potential Initiation; Calcium dynamics; Potassium buffering

Simulation Environment: MATLAB

Implementer(s): Kenny, Allanah [allanah.kenny at pg.canterbury.ac.nz]; Mathias, Elshin ; Dormanns, Katharina ; David, Tim

References:

Mathias EJ, Plank MJ, David T. (2017). A model of neurovascular coupling and the BOLD response: PART I. Computer methods in biomechanics and biomedical engineering. 20 [PubMed]

Kenny A, Plank MJ, David T. (2018). The role of astrocytic calcium and TRPV4 channels in neurovascular coupling. Journal of computational neuroscience. 44 [PubMed]

Dormanns K, Brown RG, David T. (2016). The role of nitric oxide in neurovascular coupling. Journal of theoretical biology. 394 [PubMed]

Dormanns K, van Disseldorp EM, Brown RG, David T. (2015). Neurovascular coupling and the influence of luminal agonists via the endothelium. Journal of theoretical biology. 364 [PubMed]

Farr H, David T. (2011). Models of neurovascular coupling via potassium and EET signalling. Journal of theoretical biology. 286 [PubMed]


This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.