title: A novel three-phase model of brain tissue microstructure.
abstract: We propose a novel biologically constrained three-phase model of the brain microstructure. Designing a realistic model is tantamount to a packing problem, and for this reason, a number of techniques from the theory of random heterogeneous materials can be brought to bear on this problem. Our analysis strongly suggests that previously developed two-phase models in which cells are packed in the extracellular space are insufficient representations of the brain microstructure. These models either do not preserve realistic geometric and topological features of brain tissue or preserve these properties while overestimating the brain's effective diffusivity, an average measure of the underlying microstructure. In light of the highly connected nature of three-dimensional space, which limits the minimum diffusivity of biologically constrained two-phase models, we explore the previously proposed hypothesis that the extracellular matrix is an important factor that contributes to the diffusivity of brain tissue. Using accurate first-passage-time techniques, we support this hypothesis by showing that the incorporation of the extracellular matrix as the third phase of a biologically constrained model gives the reduction in the diffusion coefficient necessary for the three-phase model to be a valid representation of the brain microstructure.
authors.affiliation: Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey, United States of America.
authors.forename: Jana L
authors.initials: JL
authors.lastname: Gevertz
authors.forename: Salvatore
authors.initials: S
authors.lastname: Torquato
mesh_terms: D000818:Animals; D001921:Brain / Q000033:anatomy & histology* / Q000378:metabolism; D004058:Diffusion; D005110:Extracellular Space / Q000378:metabolism; D005163:Factor Analysis, Statistical; D006801:Humans; D021621:Imaging, Three-Dimensional; D008953:Models, Anatomic; D008959:Models, Neurological; D009010:Monte Carlo Method