title: Blood flow in microvascular networks: a study in nonlinear biology.
abstract: Plasma skimming and the Fahraeus-Lindqvist effect are well-known phenomena in blood rheology. By combining these peculiarities of blood flow in the microcirculation with simple topological models of microvascular networks, we have uncovered interesting nonlinear behavior regarding blood flow in networks. Nonlinearity manifests itself in the existence of multiple steady states. This is due to the nonlinear dependence of viscosity on blood cell concentration. Nonlinearity also appears in the form of spontaneous oscillations in limit cycles. These limit cycles arise from the fact that the physics of blood flow can be modeled in terms of state dependent delay equations with multiple interacting delay times. In this paper we extend our previous work on blood flow in a simple two node network and begin to explore how topological complexity influences the dynamics of network blood flow. In addition we present initial evidence that the nonlinear phenomena predicted by our model are observed experimentally.
authors.affiliation: Olin College of Engineering, Needham, Massachusetts 02492, USA. john.geddes@olin.edu
authors.forename: John B
authors.initials: JB
authors.lastname: Geddes
authors.forename: Russell T
authors.initials: RT
authors.lastname: Carr
authors.forename: Fan
authors.initials: F
authors.lastname: Wu
authors.forename: Yingyi
authors.initials: Y
authors.lastname: Lao
authors.forename: Meaghan
authors.initials: M
authors.lastname: Maher
mesh_terms: D000818:Animals; D004129:Dimethylpolysiloxanes; D018056:Hemorheology / Q000502:physiology; D006801:Humans; D008833:Microcirculation / Q000502:physiology*; D055806:Microvessels / Q000502:physiology*; D008955:Models, Cardiovascular; D017711:Nonlinear Dynamics; D009716:Numerical Analysis, Computer-Assisted; D010477:Perfusion
chemical_list: D004129:Dimethylpolysiloxanes