Spectral indices of human cerebral blood flow control: responses to augmented blood pressure oscillations

We set out to fully examine the frequency domain relationship between arterial pressure and cerebral blood flow. Oscillatory lower body negative pressure (OLBNP) was used to create consistent blood pressure oscillations of varying frequency and amplitude to rigorously test for a frequency‐ and/or amplitude‐dependent relationship between arterial pressure and cerebral flow. We also examined the predictions from OLBNP data for the cerebral flow response to the stepwise drop in pressure subsequent to deflation of ischaemic thigh cuffs. We measured spectral powers, cross‐spectral coherence, and transfer function gains and phases in arterial pressure and cerebral flow during three amplitudes (0, 20, and 40 mmHg) and three frequencies (0.10, 0.05, and 0.03 Hz) of OLBNP in nine healthy young volunteers. Pressure fluctuations were directly related to OLBNP amplitude and inversely to OLBNP frequency. Although cerebral flow oscillations were increased, they did not demonstrate the same frequency dependence seen in pressure oscillations. The overall pattern of the pressure–flow relation was of decreasing coherence and gain and increasing phase with decreasing frequency, characteristic of a high‐pass filter. Coherence between pressure and flow was increased at all frequencies by OLBNP, but was still significantly lower at frequencies below 0.07 Hz despite the augmented pressure input. In addition, predictions of thigh cuff data from spectral estimates were extremely inconsistent and highly variable, suggesting that cerebral autoregulation is a frequency‐dependent mechanism that may not be fully characterized by linear methods.

[1]  D. H. Evans,et al.  Frequency-domain analysis of cerebral autoregulation from spontaneous fluctuations in arterial blood pressure , 1998, Medical and Biological Engineering and Computing.

[2]  Peter Berlit,et al.  Spontaneous blood pressure oscillations and cerebral autoregulation , 1998, Clinical Autonomic Research.

[3]  William H Cooke,et al.  Human cerebrovascular and autonomic rhythms during vestibular activation. , 2004, American journal of physiology. Regulatory, integrative and comparative physiology.

[4]  G. Dibona,et al.  Effect of renal denervation on dynamic autoregulation of renal blood flow. , 2004, American journal of physiology. Renal physiology.

[5]  R. Panerai,et al.  Neural network modelling of dynamic cerebral autoregulation: assessment and comparison with established methods. , 2004, Medical engineering & physics.

[6]  Martin Mueller,et al.  Linearity and non-linearity in cerebral hemodynamics. , 2003, Medical engineering & physics.

[7]  B. Levine,et al.  Autonomic Neural Control of Dynamic Cerebral Autoregulation in Humans , 2002, Circulation.

[8]  J. Collins,et al.  Predicting cerebral blood flow response to orthostatic stress from resting dynamics: effects of healthy aging. , 2001, American journal of physiology. Regulatory, integrative and comparative physiology.

[9]  C. Julien,et al.  Renal Blood Flow Dynamics and Arterial Pressure Lability in the Conscious Rat , 2001, Hypertension.

[10]  D L Eckberg,et al.  Sympathetic restraint of respiratory sinus arrhythmia: implications for vagal-cardiac tone assessment in humans. , 2001, American journal of physiology. Heart and circulatory physiology.

[11]  N. Secher,et al.  Arterial baroreflex control of sympathetic nerve activity during acute hypotension: effect of fitness. , 2001, American journal of physiology. Heart and circulatory physiology.

[12]  R. Morin,et al.  Inconsistent link between low-frequency oscillations: R-R interval responses to augmented Mayer waves. , 2001, Journal of applied physiology.

[13]  B. Levine,et al.  Dynamic regulation of heart rate during acute hypotension: new insight into baroreflex function. , 2001, American journal of physiology. Heart and circulatory physiology.

[14]  D H Evans,et al.  Assessment of the thigh cuff technique for measurement of dynamic cerebral autoregulation. , 2000, Stroke.

[15]  R. Panerai,et al.  Linear and nonlinear analysis of human dynamic cerebral autoregulation. , 1999, American journal of physiology. Heart and circulatory physiology.

[16]  D L Eckberg,et al.  Mechanisms underlying very-low-frequency RR-interval oscillations in humans. , 1998, Circulation.

[17]  B. Levine,et al.  Transfer function analysis of dynamic cerebral autoregulation in humans. , 1998, American journal of physiology. Heart and circulatory physiology.

[18]  A P Blaber,et al.  Transfer function analysis of cerebral autoregulation dynamics in autonomic failure patients. , 1997, Stroke.

[19]  R. Freeman,et al.  Cerebrovascular and cardiovascular responses to graded tilt in patients with autonomic failure. , 1997, Stroke.

[20]  J. Firth,et al.  Pressure-induced myogenic responses in human isolated cerebral resistance arteries. , 1996, Stroke.

[21]  M. Turiel,et al.  Pure Autonomic Failure: complex abnormalities in the neural mechanisms regulating the cardiovascular system. , 1995, Journal of the autonomic nervous system.

[22]  H. Winn,et al.  Evaluation of brain death using transcranial Doppler. , 1989, Neurosurgery.

[23]  R. Aaslid,et al.  Cerebral autoregulation dynamics in humans. , 1989, Stroke.

[24]  G. Osol,et al.  Myogenic properties of cerebral blood vessels from normotensive and hypertensive rats. , 1985, The American journal of physiology.

[25]  D. Harder Pressure‐Dependent Membrane Depolarization in Cat Middle Cerebral Artery , 1984, Circulation research.

[26]  O. Paulson,et al.  Converting enzyme inhibition and autoregulation of cerebral blood flow in spontaneously hypertensive and normotensive rats. , 1984, Scandinavian journal of urology and nephrology. Supplementum.

[27]  O B Paulson,et al.  Cerebral autoregulation. , 1984, Stroke.

[28]  L. Edvinsson Neurogenic mechanisms in the cerebrovascular bed. Autonomic nerves, amine receptors and their effects on cerebral blood flow. , 1975, Acta physiologica Scandinavica. Supplementum.

[29]  L. H. Koopmans The spectral analysis of time series , 1974 .

[30]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .