Visually Evoked Changes of Blood Flow Velocity and Pulsatility Index in the Posterior Cerebral Arteries: A Transcranial Doppler Study

2004 ◽  
Vol 65 (01) ◽  
pp. 13-17 ◽  
Author(s):  
R. Wiedensohler ◽  
J. Kuchta ◽  
A. Aschoff ◽  
A. Harders ◽  
N. Klug
1997 ◽  
Vol 99 ◽  
pp. S138
Author(s):  
T. Pietilä ◽  
R. Stendel ◽  
B. Irnich ◽  
A. Abo al Hassan ◽  
J. Zabramski ◽  
...  

Cephalalgia ◽  
1992 ◽  
Vol 12 (1) ◽  
pp. 29-32 ◽  
Author(s):  
CP Zwetsloot ◽  
JFV Caekebeke ◽  
JC Jansen ◽  
J Odink ◽  
MD Ferrari

In this study, blood flow velocity in the basilar artery and both vertebral and middle cerebral arteries was measured with a transcranial Doppler device in 23 migraineurs during and outside a migraine attack. The aim of the study was to compare blood flow velocities during and outside an attack and to examine vascular reactivity to voluntary hyperventilation during both conditions. No differences in blood flow velocity were found. Although blood pressure was increased and end-expiratory CO2 decreased during the attack, this exerted no influence on blood flow velocity. Neither was a difference in vascular reactivity to voluntary hyperventilation detected between the two conditions. These findings support the notion of functional integrity of the examined large arteries during migraine attacks without aura.


Neurosurgery ◽  
2010 ◽  
Vol 66 (6) ◽  
pp. 1050-1057 ◽  
Author(s):  
Anders Behrens ◽  
Niklas Lenfeldt ◽  
Khalid Ambarki ◽  
Jan Malm ◽  
Anders Eklund ◽  
...  

Abstract BACKGROUND Transcranial Doppler sonography (TCD) assessment of intracranial blood flow velocity has been suggested to accurately determine intracranial pressure (ICP). OBJECTIVE We attempted to validate this method in patients with communicating cerebrospinal fluid systems using predetermined pressure levels. METHODS Ten patients underwent a lumbar infusion test, applying 4 to 5 preset ICP levels. On each level, the pulsatility index (PI) in the middle cerebral artery was determined by measuring the blood flow velocity using TCD. ICP was simultaneously measured with an intraparenchymal sensor. ICP and PI were compared using correlation analysis. For further understanding of the ICP-PI relationship, a mathematical model of the intracranial dynamics was simulated using a computer. RESULTS The ICP-PI regression equation was based on data from 8 patients. For 2 patients, no audible Doppler signal was obtained. The equation was ICP = 23*PI + 14 (R2 = 0.22, P < .01, N = 35). The 95% confidence interval for a mean ICP of 20 mm Hg was −3.8 to 43.8 mm Hg. Individually, the regression coefficients varied from 42 to 90 and the offsets from −32 to +3. The mathematical simulations suggest that variations in vessel compliance, autoregulation, and arterial pressure have a serious effect on the ICP-PI relationship. CONCLUSIONS The in vivo results show that PI is not a reliable predictor of ICP. Mathematical simulations indicate that this is caused by variations in physiological parameters.


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