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First published online on July 14, 2004.
Copyright © 2004 by The Physiological Society
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Received April 21, 2004
Revised May 25, 2004
Accepted after revision July 13, 2004

Spectral Indices of Cerebral Blood Flow Control: Responses to Augmented Blood Pressure Oscillations

J. W. Hamner1, Michael A. Cohen2, Seiji Mukai1, Lewis A. Lipsitz3, and J. Andrew Taylor1*

1 Hebrew Rehabilitation Center for the Aged
2 Boston University
3 Harvard Medical School

* To whom correspondence should be addressed. E-mail: ataylor{at}mail.hrca.harvard.edu.

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 ischemic 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.


Key words: Blood pressure • Cerebral blood flow • Spectral analysis




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