Bloch R, Talalla A
J Neurol Sci. 1976 Apr;27(4):485-98. doi: 10.1016/0022-510x(76)90215-x.
The ability to solve systems of simultaneous non-linear differential equations by a combination of analytical and computational techniques has encouraged the development of valid mathematical models of biological phenomena. The dynamics of the cerebrospinal fluid (CSF) system has been the subject of closer scrutiny in recent years since the recognition of symptomatic low-pressure hydrocephalic states in man. A mathematical model has been derived from 7 assumptions: (1) That the brain is a spherical shell. (2) That CSF is secreted at a constant rate. (3) That CSF absorption is linearly dependent on pressure. (4) That flow between the CSF compartments is proportional to the pressure difference. (5) That Laplace's Law holds for the visco-elastic properties of the brain. (6) That there is compliance in the spinal compartment of the CSF system. (7) That vascular pulsations in the cranial and spinal compartments are capacitatively coupled. Using known data (and estimates of as yet unknown values) for the several parameters, the validity of the model has been successfully tested against 3 clinical conditions. This model extends our understanding of derangements of CSF dynamics and suggest where further research may yield data at present lacking.
通过分析和计算技术相结合来求解联立非线性微分方程组的能力,推动了生物现象有效数学模型的发展。自从认识到人类出现症状性低压脑积水状态以来,近年来脑脊液(CSF)系统的动力学受到了更密切的审视。一个数学模型基于7个假设推导得出:(1)大脑是一个球壳。(2)脑脊液以恒定速率分泌。(3)脑脊液吸收与压力呈线性相关。(4)脑脊液各腔室之间的流动与压力差成正比。(5)拉普拉斯定律适用于大脑的粘弹性特性。(6)脑脊液系统的脊髓腔室存在顺应性。(7)颅腔和脊髓腔室中的血管搏动通过电容耦合。利用几个参数的已知数据(以及对未知值的估计),该模型已针对3种临床情况成功进行了有效性测试。这个模型扩展了我们对脑脊液动力学紊乱的理解,并指出了进一步研究可能获得目前缺乏的数据的方向。