A Bayesian framework for the analysis of systems biology models of the brain
Fig 2
Simplified structure of a typical BrainSignals model.
A typical BrainSignals model can be split into four compartments or submodels. The blood flow submodel represents blood flow from arteries to veins via the capillary bed and the oxygen transport submodel estimates diffusion of dissolved O2 from the capillary blood to the brain tissue. Delivered oxygen is then utilised by the metabolism submodel. Finally, the measurement submodel translates the internal states of the blood flow and metabolism submodels into observable outputs. Model inputs are shown in red and consist of arterial blood pressure (ABP), arterial oxygen saturation (SaO2), partial pressure of CO2 (PaCO2) and a parameter specifying relative demand, whilst measurable outputs are shown in blue, including NIRS signals as well as middle cerebral artery velocity (Vmca) and cerebral metabolic rate of oxygen (CMRO2).