https://scholars.lib.ntu.edu.tw/handle/123456789/611741
標題: | Identifying the myogenic and metabolic components of cerebral autoregulation | 作者: | Payne S.J. STEPHEN JOHN PAYNE |
關鍵字: | Blood pressure;Blood vessels;Hemodynamics;Metabolism;Sensitivity analysis;Cerebral autoregulation;Cerebral blood flow;Metabolic response;Myogenic response;Vasodilation;Physiological models;Article;autoregulation;blood flow velocity;brain blood flow;cerebral autoregulation;correlation analysis;flow rate;mathematical analysis;mathematical model;metabolic component;myogenic component;partial pressure;priority journal;sensitivity analysis;shear stress;vascularization;vasodilatation | 公開日期: | 2018 | 卷: | 58 | 起(迄)頁: | 23-30 | 來源出版物: | Medical Engineering and Physics | 摘要: | Cerebral autoregulation is the term used to describe a number of mechanisms that act together to maintain a near constant cerebral blood flow in response to changes in arterial blood pressure. These mechanisms are complex and known to be affected in a range of cerebrovascular diseases. However, it can be difficult to assign an alteration in cerebral autoregulation to one of the underlying physiological mechanisms without the use of a complex mathematical model. In this paper, we thus set out a new approach that enables these mechanisms to be related to the autoregulation behaviour and hence inferred from experimental measurements. We show that the arteriolar response is a function of just three parameters, which we term the elastic, the myogenic and the metabolic sensitivity coefficients, and that the full vascular response is dependent upon only seven parameters. The ratio of the strengths of the myogenic and the metabolic responses is found to be in the range 2.5 to 5 over a wide range of pressure, indicating that the balance between the two appears to lie within this range. We validate the model with existing experimental data both at the level of an individual vessel and across the whole vasculature, and show that the results are consistent with findings from the literature. We then conduct a sensitivity analysis of the model to demonstrate which parameters are most important in determining the strength of static autoregulation, showing that autoregulation strength is predominantly set by the arteriolar sensitivity coefficients. This new approach could be used in future studies to help to interpret the components of the autoregulation response and how they are affected under different conditions, providing a greater insight into the fundamental processes that govern autoregulation. ? 2018 |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047056221&doi=10.1016%2fj.medengphy.2018.04.018&partnerID=40&md5=7aaeb341131ef24f49cd8bdc1d966a09 https://scholars.lib.ntu.edu.tw/handle/123456789/611741 |
DOI: | 10.1016/j.medengphy.2018.04.018 |
顯示於: | 應用力學研究所 |
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