Literature DB >> 9735883

Assessment of cerebral pressure autoregulation in humans--a review of measurement methods.

R B Panerai1.   

Abstract

Assessment of cerebral autoregulation is an important adjunct to measurement of cerebral blood flow for diagnosis, monitoring or prognosis of cerebrovascular disease. The most common approach tests the effects of changes in mean arterial blood pressure on cerebral blood flow, known as pressure autoregulation. A 'gold standard' for this purpose is not available and the literature shows considerable disparity of methods and criteria. This is understandable because cerebral autoregulation is more a concept rather than a physically measurable entity. Static methods utilize steady-state values to test for changes in cerebral blood flow (or velocity) when mean arterial pressure is changed significantly. This is usually achieved with the use of drugs, shifts in blood volume or by observing spontaneous changes. The long time interval between measurements is a particular concern in many of the studies reviewed. Parallel changes in other critical variables, such as pCO2, haematocrit, brain activation and sympathetic tone, are rarely controlled for. Proposed indices of static autoregulation are based on changes in cerebrovascular resistance, on parameters of the linear regression of flow/velocity versus pressure changes, or only on the absolute changes in flow. The limitations of studies which assess patient groups rather than individual cases are highlighted. Newer methods of dynamic assessment are based on transient changes in cerebral blood flow (or velocity) induced by the deflation of thigh cuffs, Valsalva manoeuvres, tilting and induced or spontaneous oscillations in mean arterial blood pressure. Dynamic testing overcomes several limitations of static methods but it is not clear whether the two approaches are interchangeable. Classification of autoregulation performance using dynamic methods has been based on mathematical modelling, coherent averaging, transfer function analysis, crosscorrelation function or impulse response analysis. More research on reproducibility and inter-method comparisons is urgently needed, particularly involving the assessment of pressure autoregulation in individuals rather than patient groups.

Entities:  

Mesh:

Year:  1998        PMID: 9735883     DOI: 10.1088/0967-3334/19/3/001

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  131 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

Review 2.  High altitude hypoxia: an intricate interplay of oxygen responsive macroevents and micromolecules.

Authors:  S Sarkar; P K Banerjee; W Selvamurthy
Journal:  Mol Cell Biochem       Date:  2003-11       Impact factor: 3.396

3.  Optical measurement of cerebral hemodynamics and oxygen metabolism in neonates with congenital heart defects.

Authors:  Turgut Durduran; Chao Zhou; Erin M Buckley; Meeri N Kim; Guoqiang Yu; Regine Choe; J William Gaynor; Thomas L Spray; Suzanne M Durning; Stefanie E Mason; Lisa M Montenegro; Susan C Nicolson; Robert A Zimmerman; Mary E Putt; Jiongjiong Wang; Joel H Greenberg; John A Detre; Arjun G Yodh; Daniel J Licht
Journal:  J Biomed Opt       Date:  2010 May-Jun       Impact factor: 3.170

4.  Measurement of cerebral blood flow responses to the thigh cuff maneuver: a comparison of TCD with a novel MRI method.

Authors:  Nazia P Saeed; Mark A Horsfield; Ronney B Panerai; Amit K Mistri; Tom G Robinson
Journal:  J Cereb Blood Flow Metab       Date:  2010-12-29       Impact factor: 6.200

Review 5.  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

6.  Correlation between Cerebral Hemodynamic and Perfusion Pressure Changes in Non-Human Primates.

Authors:  A Ruesch; M A Smith; G Wollstein; I A Sigal; S Nelson; J M Kainerstorfer
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02

Review 7.  Integrative physiological and computational approaches to understand autonomic control of cerebral autoregulation.

Authors:  Can Ozan Tan; J Andrew Taylor
Journal:  Exp Physiol       Date:  2013-10-04       Impact factor: 2.969

8.  Cerebral Autoregulation Real-Time Monitoring.

Authors:  Adi Tsalach; Eliahu Ratner; Stas Lokshin; Zmira Silman; Ilan Breskin; Nahum Budin; Moshe Kamar
Journal:  PLoS One       Date:  2016-08-29       Impact factor: 3.240

9.  Validation of a stand-alone near-infrared spectroscopy system for monitoring cerebral autoregulation during cardiac surgery.

Authors:  Masahiro Ono; Yueying Zheng; Brijen Joshi; Jeffrey C Sigl; Charles W Hogue
Journal:  Anesth Analg       Date:  2012-12-07       Impact factor: 5.108

10.  Anoxic injury-associated cerebral hyperperfusion identified with arterial spin-labeled MR imaging.

Authors:  J M Pollock; C T Whitlow; A R Deibler; H Tan; J H Burdette; R A Kraft; J A Maldjian
Journal:  AJNR Am J Neuroradiol       Date:  2008-05-01       Impact factor: 3.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.