Literature DB >> 30633356

Revisiting human cerebral blood flow responses to augmented blood pressure oscillations.

J W Hamner1, Keita Ishibashi2, Can Ozan Tan1,3.   

Abstract

KEY POINTS: Cerebral autoregulation is most effective in buffering against pressure fluctuations slower than 0.03 Hz (∼30 s). This suggests that frequency bands for characterizing cerebral autoregulation should be redefined Low cross-spectral coherence below 0.03 Hz highlights the limitations of transfer function approaches Haemodynamic changes induced by lower body pressure could not fully explain the differences in autoregulation estimated from spontaneous vs. augmented fluctuations, and thus, observations of spontaneous fluctuations should not be relied on whenever possible. ABSTRACT: There is currently little empirical basis for time scales that are considered to be most significant in cerebrovascular counter-regulation of changes in arterial pressure. Although it is well established that cerebral autoregulation behaves as a 'high-pass' filter, recommended frequency bands have been largely arbitrarily determined. To test effectiveness of cerebral autoregulation, we refined oscillatory lower body pressure (LBP) to augment resting pressure fluctuations below 0.1 Hz by a factor of two in 13 young male volunteers, and thoroughly characterized the time and frequency responses of cerebral autoregulation. We observed that despite a threefold increase in arterial pressure power <0.03 Hz with oscillatory LBP, there was no change in cerebral blood flow power, indicating near perfect counter-regulation. By contrast, in the range 0.03-0.10 Hz, both cerebral blood flow and arterial pressure power more than doubled. Our data demonstrate that cerebral autoregulation is most effective in buffering against pressure fluctuations slower than 0.03 Hz (∼30 s). This suggests that frequency bands of interest should be redefined and recording length should be increased considerably to account for this. Furthermore, low cross-spectral coherence below 0.03 Hz, even when pressure fluctuations were augmented, highlights the uncertainty in transfer function approaches and the need to either report precision or use non-linear approaches. Finally, haemodynamic changes induced by LBP could not fully explain the differences in autoregulation estimated from spontaneous vs. augmented fluctuations, and thus, observations of spontaneous fluctuations should not be relied on whenever possible.
© 2019 The Authors. The Journal of Physiology © 2019 The Physiological Society.

Entities:  

Keywords:  Cerebral autoregulation; Lower body pressure; Transfer function

Mesh:

Year:  2019        PMID: 30633356      PMCID: PMC6419146          DOI: 10.1113/JP277321

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  47 in total

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

Authors:  J W Hamner; Michael A Cohen; Seiji Mukai; Lewis A Lipsitz; J Andrew Taylor
Journal:  J Physiol       Date:  2004-07-14       Impact factor: 5.182

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4.  Dynamic cerebral autoregulation during repeated squat-stand maneuvers.

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5.  Dynamic cerebral autoregulation: different signal processing methods without influence on results and reproducibility.

Authors:  Erik D Gommer; Eri Shijaku; Werner H Mess; Jos P H Reulen
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6.  Effects of heat stress on dynamic cerebral autoregulation during large fluctuations in arterial blood pressure.

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7.  Dynamic cerebral autoregulation in acute lacunar and middle cerebral artery territory ischemic stroke.

Authors:  Rogier V Immink; Gert A van Montfrans; Jan Stam; John M Karemaker; Michaela Diamant; Johannes J van Lieshout
Journal:  Stroke       Date:  2005-10-27       Impact factor: 7.914

8.  Effects of CO2 on dynamic cerebral autoregulation measurement.

Authors:  R B Panerai; S T Deverson; P Mahony; P Hayes; D H Evans
Journal:  Physiol Meas       Date:  1999-08       Impact factor: 2.833

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Authors:  J W Hamner; Can Ozan Tan; Kichang Lee; Michael A Cohen; J Andrew Taylor
Journal:  Stroke       Date:  2009-12-10       Impact factor: 7.914

10.  Asymmetric dynamic cerebral autoregulatory response to cyclic stimuli.

Authors:  Rune Aaslid; Martin Blaha; Gill Sviri; Colleen M Douville; David W Newell
Journal:  Stroke       Date:  2007-04-05       Impact factor: 7.914

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  4 in total

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Journal:  Brain Sci       Date:  2020-09-16

Review 3.  The Acute Cardiorespiratory and Cerebrovascular Response to Resistance Exercise.

Authors:  Blake G Perry; Samuel J E Lucas
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4.  Rapid Assessment of Blood Pressure Variability and Outcome After Successful Thrombectomy.

Authors:  Pedro Castro; Francisca Ferreira; Cindy K Nguyen; Seyedmehdi Payabvash; Can Ozan Tan; Farzaneh Sorond; Elsa Azevedo; Nils Petersen
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