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微血管动脉网络中的混沌振荡。

Chaotic oscillations in microvessel arterial networks.

作者信息

Cavalcanti S, Ursino M

机构信息

Department of Electronics, Computer Science and Systems, University of Bologna, Italy.

出版信息

Ann Biomed Eng. 1996 Jan-Feb;24(1):37-47. doi: 10.1007/BF02770993.

DOI:10.1007/BF02770993
PMID:8669716
Abstract

A mathematical model of a multibranched microvascular network was used to study the mechanisms underlying irregular oscillations (vasomotion) observed in arteriolar microvessels. The network's layout included three distinct terminal arteriolar branches originating from a common parent arteriole. The biomechanical model of the single microvessel was constructed to reproduce the time pattern of the passive and active (myogenic) response of arterioles in the hamster cheek pouch to a step-wise arterial pressure change. Simulation results indicate that, as a consequence of the myogenic reflex, each arteriole may behave as an autonomous oscillator, provided its intraluminal pressure lies within a specific range. In the simulated network, the interaction among the various oscillators gave rise to a complex behavior with many different oscillatory patterns. Analysis of model bifurcations, performed with respect to the arterial pressure level, indicated that modest changes in this parameter caused the network to shift between periodic, quasiperiodic, and chaotic behavior. When arterial pressure was changed from approximately 60-150 mm Hg, the model exhibited a classic route toward chaos, as in the Ruelle-Takens scenario. This work reveals that the nonlinear myogenic mechanism is able to produce the multitude of different oscillatory patterns observed in vivo in microvascular beds, and that irregular microvascular fluctuations may be regarded as a form of deterministic chaos.

摘要

一个多分支微血管网络的数学模型被用于研究在小动脉微血管中观察到的不规则振荡(血管运动)背后的机制。该网络布局包括源自一条共同母动脉的三个不同的终末小动脉分支。构建单个微血管的生物力学模型以再现仓鼠颊囊中小动脉对逐步动脉压变化的被动和主动(肌源性)反应的时间模式。模拟结果表明,由于肌源性反射,每个小动脉只要其管腔内压力处于特定范围内,就可能表现为一个自主振荡器。在模拟网络中,各种振荡器之间的相互作用产生了具有许多不同振荡模式的复杂行为。关于动脉压水平进行的模型分岔分析表明,该参数的适度变化会导致网络在周期性、准周期性和混沌行为之间转变。当动脉压从约60 - 150 mmHg变化时,模型呈现出如鲁埃尔 - 塔肯斯情景中那样的通向混沌的经典路径。这项工作揭示了非线性肌源性机制能够产生在微血管床体内观察到的多种不同振荡模式,并且不规则的微血管波动可被视为一种确定性混沌形式。

相似文献

1
Chaotic oscillations in microvessel arterial networks.微血管动脉网络中的混沌振荡。
Ann Biomed Eng. 1996 Jan-Feb;24(1):37-47. doi: 10.1007/BF02770993.
2
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