Key result
Network geometry, boundary conditions, and effective blood viscosity are essential for cerebral blood flow distribution, whereas the phase separation effect has a minor function.
Population
Primate cerebral cortex (computational model of cortical gray matter)
Comparison
Network method for computing blood flow… vs Available models for blood flow rheology and…
Design
Preclinical
Authors
Loading...
Emphasizes geometry and viscosity in primate flow models; leaves open translation to human cerebral hemodynamics.
Network geometry, boundary conditions, and effective viscosity are the primary drivers of cerebral microvascular hemodynamics in primate cortex models, while phase separation plays a minor role.
Guibert et al. (2010) studied Cerebral blood flow. Network method for computing blood flow was evaluated on Impact of network structure on blood pressure, hematocrit, and flow distributions. Network geometry, boundary conditions, and effective blood viscosity are essential for cerebral blood flow distribution, whereas the phase separation effect has a minor function.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: