Functional model of the neurovascular unit:  seeking for balance  between physiological relevance and computability

Dmitry E. Postnov

doi:10.1117/12.2565758

9 April 2020 Functional model of the neurovascular unit: seeking for balance between physiological relevance and computability

Dmitry E. Postnov

Author Affiliations +

Proceedings Volume 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions; 114590P (2020) https://doi.org/10.1117/12.2565758
Event: Saratov Fall Meeting 2019: VII International Symposium on Optics and Biophotonics, 2019, Saratov, Russian Federation

Abstract

The neurovascular unit of the brain parenchyma is called the cellular circuit, which provides control of local blood flow depending on the needs of neurons. When the activity of a neuron changes, a chain of signaling mechanisms is activated, which leads to an increase or decrease in the radius of a nearby blood vessel. A number of mathematical models of neurovascular coupling have been developed that reproduce the main signaling pathways and allow estimating the quantitative side of the processes. However, these models are too computationally heavy to be the basis for 2D and even more so 3D modeling of parenchyma nervous tissue. In this paper we propose a functional model of neurovascular unit aimed at correct reproduction of dynamic patterns of neurovascular response with minimum number of equations and control parameters. Such model includes the most significant elements of the cellular scheme: volume transmission coupling in the intercellular space of the parenchyma, intracellular dynamics of calcium concentration in astrocyte, as well as biphasic nature of the reaction of a cell of smooth muscle of a vessel to the growth of potassium concentration in perivascular space. The results of the computational experiment show good agreement between the model dynamics and the known types of neurovascular response.

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Dmitry E. Postnov "Functional model of the neurovascular unit: seeking for balance between physiological relevance and computability", Proc. SPIE 11459, Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale Tools to Brain Functions, 114590P (9 April 2020); https://doi.org/10.1117/12.2565758

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