Literature DB >> 11219504

A parametric approach to measuring cerebral blood flow autoregulation from spontaneous variations in blood pressure.

D M Simpson1, R B Panerai, D H Evans, A R Naylor.   

Abstract

Autoregulation maintains cerebral blood flow (CBF) almost constant in the face of changes in arterial blood pressure (ABP). Tests for impairment of this process using only spontaneous fluctuations in ABP, without provoking large variations, are of great clinical interest, and a range of different approaches have previously been applied. Extending earlier work based on linear filters, we propose a simple parametric method using a first order finite impulse response filter. We evaluate the method on ABP and CBF velocity [(CBFV), from trancranial Doppler ultrasound] signals collected in 60 patients with stenosis or occlusion of the carotid arteries. Data were collected during the inspiration of ambient air, a 5% CO2/air mixture, and finally the return to ambient air. Equivalent data were collected in 15 normal subjects. The filters estimated from the data segments with constant inspiratory pCO2 showed the expected high-pass characteristic, which was reduced during hypercapnia and also in patients. Highly significant correlation between the filter parameters and cerebrovascular reactivity (percent increase in CBFV per unit change in end-tidal pCO2) gives further evidence that the filters reflect autoregulation. The method allows simple parametrization of the dynamic autoregulatory responses in CBFV, and the analysis of short (1 min) data segments.

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Year:  2001        PMID: 11219504     DOI: 10.1114/1.1335537

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  6 in total

Review 1.  Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network.

Authors:  Jurgen A H R Claassen; Aisha S S Meel-van den Abeelen; David M Simpson; Ronney B Panerai
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-18       Impact factor: 6.200

2.  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

3.  Correlation between Carotid Stenosis Degree and Blood Pressure Variability in Patients with Carotid Stenosis.

Authors:  Junli Nie; Liang Hou; Baozhen Tan
Journal:  Comput Math Methods Med       Date:  2022-05-21       Impact factor: 2.809

4.  A stochastic delay differential model of cerebral autoregulation.

Authors:  Simona Panunzi; Laura D'Orsi; Daniela Iacoviello; Andrea De Gaetano
Journal:  PLoS One       Date:  2015-04-01       Impact factor: 3.240

5.  Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability.

Authors:  Marit L Sanders; Jan Willem J Elting; Ronney B Panerai; Marcel Aries; Edson Bor-Seng-Shu; Alexander Caicedo; Max Chacon; Erik D Gommer; Sabine Van Huffel; José L Jara; Kyriaki Kostoglou; Adam Mahdi; Vasilis Z Marmarelis; Georgios D Mitsis; Martin Müller; Dragana Nikolic; Ricardo C Nogueira; Stephen J Payne; Corina Puppo; Dae C Shin; David M Simpson; Takashi Tarumi; Bernardo Yelicich; Rong Zhang; Jurgen A H R Claassen
Journal:  Front Physiol       Date:  2019-07-09       Impact factor: 4.566

6.  Non-linear models for the detection of impaired cerebral blood flow autoregulation.

Authors:  Max Chacón; José Luis Jara; Rodrigo Miranda; Emmanuel Katsogridakis; Ronney B Panerai
Journal:  PLoS One       Date:  2018-01-30       Impact factor: 3.240

  6 in total

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