Mathematical Biosciences and Engineering (Jun 2021)

A computational method for the covariance matrix associated with extracellular diffusivity on disordered models of cylindrical brain axons

  • Daniel Cervantes,
  • Miguel angel Moreles,
  • Joaquin Peña,
  • Alonso Ramirez-Manzanares

DOI
https://doi.org/10.3934/mbe.2021252
Journal volume & issue
Vol. 18, no. 5
pp. 4961 – 4970

Abstract

Read online

This study developed a method to approximate the covariance matrix associated with the simulation of water molecular diffusion inside the brain tissue. The computation implements the Discontinuous Galerkin method of the diffusion equation. A physically consistent numerical flux is applied to model the interaction between the axon walls and extracellular regions. This numerical flux yields an efficient GPU-CUDA implementation. We consider the two-dimensional case of high axon pack density, valid, for instance, in the brain's corpus callosum region.

Keywords