Reproduction of consistent pulse-waveform changes using a computational model of the cerebral circulatory system.
Reproduction of consistent pulse-waveform changes using a computational model of the cerebral circulatory system.
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DOI：
10.1016/j.medengphy.2013.12.003
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发表时间：
2014-03
影响因子：
2.2
通讯作者：
Hu X
中科院分区：
文献类型：
--
作者：
Connolly M;He X;Gonzalez N;Vespa P;DiStefano J 3rd;Hu X
由于颅顶的不可接近性，直接研究脑血流动力学是困难的。数学模型可以用于研究这些动态。这里提出的模型是一个新的组合的一维流体流动模型代表的主要血管的环的威利斯（CoW），与六个单独参数化的自动调节模型的远端血管床。该模型具有模拟高时间分辨率流量和速度波形的独特能力，可进行脉冲波形分析，以及自动调节等复杂现象。先前对人类患者的研究表明，由CO2吸入引起的血管舒张导致12个一致的脉搏波形变化，如通过颅内压算法的形态学聚类和分析所测量的。为了验证该模型，我们模拟了血管舒张，并成功地再现了12个脉冲波形变化中的9个。随后的灵敏度分析发现，这12个脉搏波形变化受与平滑肌张力反应和血管弹性的形状相关的参数的影响最大，从而深入了解导致观察到的脉搏波形形状变化的生理机制。
Due to the inaccessibility of the cranial vault, it is difficult to study cerebral blood flow dynamics directly. A mathematical model can be useful to study these dynamics. The model presented here is a novel combination of a one-dimensional fluid flow model representing the major vessels of the circle of Willis (CoW), with six individually parameterized auto-regulatory models of the distal vascular beds. This model has the unique ability to simulate high temporal resolution flow and velocity waveforms, amenable to pulse-waveform analysis, as well as sophisticated phenomena such as auto-regulation. Previous work with human patients has shown that vasodilation induced by CO2 inhalation causes 12 consistent pulse-waveform changes as measured by the Morphological Clustering and Analysis of Intracranial Pressure algorithm. To validate this model, we simulated vasodilation and successfully reproduced 9 out of the 12 pulse-waveform changes. A subsequent sensitivity analysis found that these 12 pulse-waveform changes were most affected by the parameters associated with the shape of the smooth muscle tension response and vessel elasticity, providing insight into the physiological mechanisms responsible for observed changes in the pulse-waveform shape.
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DOI：
10.1109/tbme.2008.2008636
发表时间：
2009-03
期刊：
IEEE transactions on bio-medical engineering
影响因子：
--
作者：
Hu X;Xu P;Scalzo F;Vespa P;Bergsneider M
通讯作者：
Bergsneider M
影响因子：
3.5
作者：
Asgari, Shadnaz;Bergsneider, Marvin;Hamilton, Robert;Vespa, Paul;Hu, Xiao
通讯作者：
Hu, Xiao
影响因子：
2.1
作者：
BUSBY, DE;BURTON, AC
通讯作者：
BURTON, AC
影响因子：
3.8
作者：
URSINO, M;DIGIAMMARCO, P
通讯作者：
DIGIAMMARCO, P
影响因子：
6.3
作者：
Reichold, Johannes;Stampanoni, Marco;Weber, Bruno
通讯作者：
Weber, Bruno