Haubrich C, Wendt A, Diehl R R, Klötzsch C
Department of Neurology, University Hospital Aachen, Pauwelsstrasse 31, 52074 Aachen, Germany.
Stroke. 2004 Apr;35(4):848-52. doi: 10.1161/01.STR.0000120729.99039.B6. Epub 2004 Feb 26.
Dynamic autoregulation has been studied predominantly in the middle cerebral artery (MCA). Because certain clinical conditions, ie, presyncopal symptoms or hypertensive encephalopathy, suggest a higher vulnerability of autoregulation within posterior parts of the brain, we investigated whether the cerebral blood flow velocity (CBFV) is modulated differently within the posterior cerebral artery (PCA).
Spontaneous oscillations of CBFV and arterial blood pressure (ABP) in the frequency range of 0.5 to 20 cycles per minute were studied in 30 volunteers (supine and tilted positions). Analysis was based on the "high-pass filter model," which predicts a specific frequency-dependent phase and amplitude relationship between oscillations in CBFV to ABP. These parameters, characterized as phase shift angles and transfer function gains, were calculated from simultaneously recorded beat-to-beat blood pressure and transcranial Doppler signals of the PCA and MCA by means of cross-spectrum analysis.
In the MCA and PCA, phase shift angles were decreased, and gains were elevated with increasing oscillation frequency. The PCA gain values in supine and tilted positions were significantly higher than in the MCA.
The phase and amplitude relationship between CBFV and ABP showed a frequency dependence in the PCA similar to that in the MCA. The study therefore suggests that the high-pass filter model of dynamic cerebral autoregulation can be applied to the PCA. In this model the generally higher gain values in the PCA indicate a lower damping of ABP oscillations, which are transmitted to the posterior part of cerebral circulation.
动态自动调节主要在大脑中动脉(MCA)中进行了研究。由于某些临床情况,即晕厥前症状或高血压脑病,提示大脑后部的自动调节更易受损,我们研究了大脑后动脉(PCA)内脑血流速度(CBFV)的调节是否存在差异。
在30名志愿者(仰卧位和倾斜位)中研究了每分钟0.5至20次循环频率范围内CBFV和动脉血压(ABP)的自发振荡。分析基于“高通滤波器模型”,该模型预测CBFV振荡与ABP振荡之间特定的频率依赖性相位和幅度关系。这些参数,以相移角和传递函数增益为特征,通过交叉谱分析从同时记录的PCA和MCA的逐搏血压和经颅多普勒信号中计算得出。
在MCA和PCA中,相移角随振荡频率增加而减小,增益升高。仰卧位和倾斜位的PCA增益值显著高于MCA。
CBFV与ABP之间的相位和幅度关系在PCA中表现出与MCA中类似的频率依赖性。因此,该研究表明动态脑自动调节的高通滤波器模型可应用于PCA。在该模型中,PCA中通常较高的增益值表明ABP振荡的阻尼较低,这些振荡被传递到脑循环的后部。