Biomedical Engineering Department, Hamedan University of Technology, Hamedan, Iran.
Sci Rep. 2019 Jul 5;9(1):9751. doi: 10.1038/s41598-019-46328-z.
The accumulation of cerebrospinal fluid (CSF) in brain ventricles and subarachnoid space is known as hydrocephalus. Hydrocephalus is a result of disturbances in the secretion or absorption process of CSF. A hydrocephalus shunt is an effective method for the treatment of hydrocephalus. In this paper, at first, the procedures of secretion, circulation, and absorption of CSF are studied and subsequently, the mathematical relations governing the pressures in different interacting compartments of the brain are considered. A mechanical-electrical model is suggested based on the brain physiology and blood circulation. In the proposed model, hydrocephalus is modeled with an incremental resistance (R) and hydrocephalus shunt, which is a low resistance path to drain the accumulated CSF in the brain ventricles, is modeled with a resistance in series with a diode. At the end, the simulation results are shown. The simulation results can be used to predict the shunt efficiency in reducing CSF pressure and before a real shunt implementation surgery is carried out in a patient's body.
脑室内和蛛网膜下腔脑脊液(CSF)的积聚被称为脑积水。脑积水是 CSF 分泌或吸收过程紊乱的结果。脑积水分流术是治疗脑积水的有效方法。本文首先研究了 CSF 的分泌、循环和吸收过程,随后考虑了控制大脑不同相互作用腔室压力的数学关系。基于脑生理学和血液循环,提出了一种机电模型。在提出的模型中,脑积水用增量电阻(R)建模,而脑积水分流器是一种将积聚在脑室内的 CSF 排出的低电阻路径,用串联电阻和二极管建模。最后,给出了模拟结果。这些模拟结果可用于预测分流器降低 CSF 压力的效率,以便在对患者进行实际分流器实施手术之前进行预测。