Literature DB >> 9216150

Analysis of cerebral blood flow autoregulation in neonates.

R B Panerai1, A W Kelsall, J M Rennie, D H Evans.   

Abstract

The dynamic response of cerebral autoregulation to spontaneous changes in arterial blood pressure (ABP) is described by the relationship between cerebral blood flow velocity (CBFV) and resistance-area product (RAP). CBFV was measured with Doppler ultrasound in the middle cerebral artery and ABP with an intra-arterial catheter in 66 neonates. Spontaneous changes in mean ABP were automatically detected and the maximum derivative was used to synchronize the coherent averaging of corresponding CBFV and RAP transients. These were classified into two groups corresponding to intact (group A) or impaired (group B) autoregulation. The cross correlation between RAP and CBFV indicates a significant relationship with a time delay of 5 s for group A. The frequency response of RAP was estimated by the cross spectra with CBFV. Groups A and B present a similar amplitude spectra but the phase spectra of group A lags that of group B. The impulse responses of the two groups are also markedly different and were used to simulate the velocity response to a 5% step change in ABP. Impulse responses were also obtained for four different levels of pCO2 showing that hypercapnia leads to an impulse response similar to that of group B (impaired autoregulation). This method can be used to extend the usual dichotomic classification adopted in clinical studies of autoregulation.

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Year:  1996        PMID: 9216150     DOI: 10.1109/10.508541

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


  19 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

3.  Estimation of hidden state variables of the intracranial system using constrained nonlinear Kalman filters.

Authors:  Xiao Hu; Valeriy Nenov; Paul Vespa; Marvin Bergsneider
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

Review 4.  Transcranial Doppler for evaluation of cerebral autoregulation.

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

5.  Frequency-domain analysis of cerebral autoregulation from spontaneous fluctuations in arterial blood pressure.

Authors:  R B Panerai; J M Rennie; A W Kelsall; D H Evans
Journal:  Med Biol Eng Comput       Date:  1998-05       Impact factor: 2.602

6.  Autoregulation in the ocular and cerebral arteries during the cold pressor test and handgrip exercise.

Authors:  Tsukasa Ikemura; Nami Someya; Naoyuki Hayashi
Journal:  Eur J Appl Physiol       Date:  2011-06-04       Impact factor: 3.078

7.  Parametric transfer function analysis and modeling of blood flow autoregulation in the optic nerve head.

Authors:  Jintao Yu; Yi Liang; Simon Thompson; Grant Cull; Lin Wang
Journal:  Int J Physiol Pathophysiol Pharmacol       Date:  2014-03-13

8.  Cerebral blood flow and autoregulation: current measurement techniques and prospects for noninvasive optical methods.

Authors:  Sergio Fantini; Angelo Sassaroli; Kristen T Tgavalekos; Joshua Kornbluth
Journal:  Neurophotonics       Date:  2016-06-21       Impact factor: 3.593

9.  CrossTalk proposal: dynamic cerebral autoregulation should be quantified using spontaneous blood pressure fluctuations.

Authors:  Y C Tzeng; R B Panerai
Journal:  J Physiol       Date:  2017-12-05       Impact factor: 5.182

10.  The effect of blood pressure calibrations and transcranial Doppler signal loss on transfer function estimates of cerebral autoregulation.

Authors:  Brian M Deegan; Jorge M Serrador; Kazuma Nakagawa; Edward Jones; Farzaneh A Sorond; Gearóid Olaighin
Journal:  Med Eng Phys       Date:  2011-01-15       Impact factor: 2.242

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