Kadas Z M, Lakin W D, Yu J, Penar P L
Department of Mathematics, St. Michael's College, Vermont, Burlington, USA.
Neurol Res. 1997 Aug;19(4):441-50. doi: 10.1080/01616412.1997.11740840.
Cerebral autoregulation plays an important role in the dynamic processes of intracranial physiology. This work develops a four-compartment, lumped-parameter model for the interactions of intracranial pressures, volumes, and flows as a test bed for examining the consistent inclusion of explicit autoregulation in mathematical models of the intracranial system. It is hypothesized that autoregulation of the blood supply from the arterioles to the capillary bed can be modeled by allowing the flow resistance at the interface of the artery and capillary compartments in the model to be a function of pressure rather than a constant. The functional dependence on pressure of this resistance parameter is not specified in advance, but emerges naturally from the assumed relationship between pressure differences and flows. Results show that a constant flow from the artery to the capillary compartment can be maintained by a flow resistance which is resistance which is directly proportional to the pressure difference between these two compartments. Oscillatory flow is reestablished in the model at the capillary-cerebrospinal fluid and capillary-venous interfaces.
脑自动调节在颅内生理动态过程中起着重要作用。这项工作开发了一个四室集总参数模型,用于颅内压力、体积和流量的相互作用,作为在颅内系统数学模型中检验明确纳入自动调节的一致性的试验台。假设从小动脉到毛细血管床的血液供应的自动调节可以通过使模型中动脉和毛细血管室界面处的流动阻力成为压力的函数而不是常数来建模。该阻力参数对压力的函数依赖性没有预先指定,而是从假设的压力差和流量之间的关系中自然出现的。结果表明,从动脉到毛细血管室的恒定流量可以通过与这两个室之间的压力差成正比的流动阻力来维持。在模型中,在毛细血管 - 脑脊液和毛细血管 - 静脉界面处重新建立了振荡流。