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CNS & Neurological Disorders - Drug Targets

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ISSN (Print): 1871-5273
ISSN (Online): 1996-3181

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Research Article

Towards a Systemic Concept of the Brain Ishemia Stroke: Monte Carlo Driven in silico Model

Author(s): Valentin V. Fursov*, Alexander V. Ananiev and Dmitry A. Kuznetsov

Volume 23, Issue 10, 2024

Published on: 18 April, 2024

Page: [1275 - 1284] Pages: 10

DOI: 10.2174/1871527322666230719111903

Price: $65

Abstract

Background: The work proposes a new mathematical model of dynamic processes of a typical spatially heterogeneous biological system, and sets and solves a mathematical problem of modeling the dynamics of the system of neurovascular units of the brain in conditions of ischemic stroke. There is a description of only a small number of mathematical models of stroke in the literature. This model is being studied and a numerical and software implementation of the corresponding mathematical problem is proposed.

Methods: This work is the first attempt ever aiming to employ a Monte Carlo computational approach for In Silico simulation of the most critical parameters in molecular and cellular pathogenesis of the brain ischemic stroke. In this work, a new mathematical model of the development of ischemic stroke is proposed in the form of a discrete model based on neurovascular units (NVU) as elements.

Results: As a result of testing the program with the assignment of empirically selected coefficients, data were obtained on the evolution of the states of the lattice of the cellular automaton of the model for the spread of stroke in a region of the brain tissue. A resulting new theoretical model of the particular pathologically altered biosystem might be taken as a promising tool for further studies in neurology; general pathology and cell biology.

Conclusion: For the first time, a mathematical model has been constructed that allows us to represent the spatial dynamics of the development of the affected area in ischemic stroke of the brain, taking into account neurovascular units as single morphofunctional structures.

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