Literature DB >> 10743786

Multivariate dynamic analysis of cerebral blood flow regulation in humans.

R B Panerai1, D M Simpson, S T Deverson, P Mahony, P Hayes, D H Evans.   

Abstract

The contributions of beat-to-beat changes in mean arterial blood pressure (MABP) and breath-by-breath fluctuations in end-tidal CO2 (EtCO2) as determinants of the spontaneous variability of cerebral blood flow velocity (CBFV) were studied in 16 normal subjects at rest. The two input variables (MABP and EtCO2) had significant cross-correlations with CBFV but not between them. Transfer functions were estimated as the multivariate least mean square finite impulse response causal filters. MABP showed a very significant effect in explaining CBFV variability (p < 10(-11), Fisher's aggregated-p test) and the model mean square error was significantly reduced (p < 0.001) by also including the contribution of EtCO2. The estimated mean CBFV step response to MABP displayed the characteristic return to baseline caused by the cerebral autoregulatory response. The corresponding response to EtCO2 showed a gradual rise taking approximately 10 s to reach a plateau of 2.5%/mmHg. This study demonstrated that spontaneous fluctuations in EtCO2 can help to explain the CBFV variability at rest if appropriate signal processing techniques are employed to address the limited power and bandwith of the breath-by-breath EtCO2 signal.

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Year:  2000        PMID: 10743786     DOI: 10.1109/10.827312

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  29 in total

1.  Estimating normal and pathological dynamic responses in cerebral blood flow velocity to step changes in end-tidal pCO2.

Authors:  D M Simpson; R B Panerai; D H Evans; J Garnham; A R Naylor; P R Bell
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Dynamic cerebral autoregulation assessment using chaotic analysis in diabetic autonomic neuropathy.

Authors:  Ben-Yi Liau; Shoou-Jeng Yeh; Chuang-Chien Chiu; Yu-Chou Tsai
Journal:  Med Biol Eng Comput       Date:  2007-09-14       Impact factor: 2.602

Review 3.  Transcranial Doppler for evaluation of cerebral autoregulation.

Authors:  Ronney B Panerai
Journal:  Clin Auton Res       Date:  2009-04-16       Impact factor: 4.435

4.  Closed-loop dynamic modeling of cerebral hemodynamics.

Authors:  V Z Marmarelis; D C Shin; M E Orme; R Zhang
Journal:  Ann Biomed Eng       Date:  2013-01-05       Impact factor: 3.934

5.  Adaptive feedback analysis and control of programmable stimuli for assessment of cerebrovascular function.

Authors:  Lingke Fan; Glen Bush; Emmanuel Katsogridakis; David M Simpson; Robert Allen; John Potter; Anthony A Birch; Ronney B Panerai
Journal:  Med Biol Eng Comput       Date:  2013-02-07       Impact factor: 2.602

6.  Retrospective Correction of Physiological Noise: Impact on Sensitivity, Specificity, and Reproducibility of Resting-State Functional Connectivity in a Reading Network Model.

Authors:  Venkatagiri Krishnamurthy; Lisa C Krishnamurthy; Dina M Schwam; Ashley Ealey; Jaemin Shin; Daphne Greenberg; Robin D Morris
Journal:  Brain Connect       Date:  2018-03

7.  Respiration-related cerebral blood flow variability increases during control-mode non-invasive ventilation in normovolemia and hypovolemia.

Authors:  Maria Skytioti; Signe Søvik; Maja Elstad
Journal:  Eur J Appl Physiol       Date:  2017-09-12       Impact factor: 3.078

8.  Effects of autoregulation and CO2 reactivity on cerebral oxygen transport.

Authors:  S J Payne; J Selb; D A Boas
Journal:  Ann Biomed Eng       Date:  2009-07-24       Impact factor: 3.934

9.  Model-based quantification of cerebral hemodynamics as a physiomarker for Alzheimer's disease?

Authors:  V Z Marmarelis; D C Shin; M E Orme; R Zhang
Journal:  Ann Biomed Eng       Date:  2013-06-15       Impact factor: 3.934

10.  Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI.

Authors:  Catie Chang; Gary H Glover
Journal:  Neuroimage       Date:  2009-04-22       Impact factor: 6.556

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