Müller Lucas O, Toro Eleuterio F
Laboratory of Applied Mathematics, University of Trento, Via Mesiano 77, 38123 Trento, Italy.
Laboratory of Applied Mathematics, University of Trento, Via Mesiano 77, 38123 Trento, Italy.
J Biomech. 2014 Oct 17;47(13):3361-72. doi: 10.1016/j.jbiomech.2014.08.005. Epub 2014 Aug 7.
Here we extend the global, closed-loop, mathematical model for the cardiovascular system in Müller and Toro (2014) to account for fundamental mechanisms affecting cerebral venous haemodynamics: the interaction between intracranial pressure and cerebral vasculature and the Starling-resistor like behaviour of intracranial veins. Computational results are compared with flow measurements obtained from Magnetic Resonance Imaging (MRI), showing overall satisfactory agreement. The role played by each model component in shaping cerebral venous flow waveforms is investigated. Our results are discussed in light of current physiological concepts and model-driven considerations, indicating that the Starling-resistor like behaviour of intracranial veins at the point where they join dural sinuses is the leading mechanism. Moreover, we present preliminary results on the impact of neck vein strictures on cerebral venous hemodynamics. These results show that such anomalies cause a pressure increment in intracranial cerebral veins, even if the shielding effect of the Starling-resistor like behaviour of cerebral veins is taken into account.
在此,我们扩展了Müller和Toro(2014年)提出的心血管系统全局闭环数学模型,以纳入影响脑静脉血流动力学的基本机制:颅内压与脑血管之间的相互作用以及颅内静脉的类斯塔林电阻行为。将计算结果与通过磁共振成像(MRI)获得的血流测量结果进行比较,总体显示出令人满意的一致性。研究了每个模型组件在塑造脑静脉血流波形中所起的作用。我们根据当前的生理概念和模型驱动的考虑因素对结果进行了讨论,表明颅内静脉在汇入硬脑膜窦处的类斯塔林电阻行为是主要机制。此外,我们展示了颈静脉狭窄对脑静脉血流动力学影响的初步结果。这些结果表明,即使考虑到脑静脉类斯塔林电阻行为的屏蔽作用,此类异常仍会导致颅内脑静脉压力升高。