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颅内血管自发性低频振荡:在颈动脉疾病和缺血性卒中中的应用。

Spontaneous low-frequency oscillations in cerebral vessels: applications in carotid artery disease and ischemic stroke.

机构信息

Danish Headache Center, Department of Neurology, Glostrup Hospital, Faculty of Health Sciences, University of Copenhagen, Glostrup, Denmark.

出版信息

J Stroke Cerebrovasc Dis. 2010 Nov-Dec;19(6):465-74. doi: 10.1016/j.jstrokecerebrovasdis.2010.06.001.

Abstract

The etiology behind and physiological significance of spontaneous oscillations in the low-frequency spectrum in both systemic and cerebral vessels remain unknown. Experimental studies have proposed that spontaneous oscillations in cerebral blood flow reflect impaired cerebral autoregulation (CA). Analysis of CA by measurement of spontaneous oscillations in the low-frequency spectrum in cerebral vessels might be a useful tool for assessing risk and investigating different treatment strategies in carotid artery disease (CAD) and stroke. We reviewed studies exploring spontaneous oscillations in the low-frequency spectrum in patients with CAD and ischemic stroke, conditions known to involve impaired CA. Several studies have reported changes in oscillations after CAD and stroke after surgery and over time compared with healthy controls. Phase shift in the frequency domain and correlation coefficients in the time domain are the most frequently used parameters for analyzing spontaneous oscillations in systemic and cerebral vessels. At present, there is no gold standard for analyzing spontaneous oscillations in the low-frequency spectrum, and simplistic models of CA have failed to predict or explain the spontaneous oscillation changes found in CAD and stroke studies. Near-infrared spectroscopy is suggested as a future complementary tool for assessing changes affecting the cortical arterial system.

摘要

自发性低频波动的病因及其在系统性和脑血管中的生理意义尚不清楚。实验研究提出,脑血流的自发性波动反映了脑自动调节功能受损。通过测量脑血管中低频谱的自发性波动来分析脑自动调节功能可能是评估颈动脉疾病 (CAD) 和中风风险并研究不同治疗策略的有用工具。我们回顾了探讨 CAD 和缺血性中风患者低频谱自发性波动的研究,这些疾病已知涉及脑自动调节功能受损。一些研究报告了 CAD 和中风手术后以及随时间推移与健康对照组相比,波动的变化。频域中的相位移动和时域中的相关系数是分析系统性和脑血管自发性波动最常用的参数。目前,分析低频谱自发性波动尚无金标准,并且 CA 的简化模型未能预测或解释 CAD 和中风研究中发现的自发性波动变化。近红外光谱被认为是评估影响皮质动脉系统变化的未来补充工具。

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