Literature DB >> 24721458

Transfer function analysis for the assessment of cerebral autoregulation using spontaneous oscillations in blood pressure and cerebral blood flow.

Aisha S S Meel-van den Abeelen1, Arenda H E A van Beek1, Cornelis H Slump2, Ronney B Panerai3, Jurgen A H R Claassen4.   

Abstract

Cerebral autoregulation (CA) is a key mechanism to protect the brain against excessive fluctuations in blood pressure (BP) and maintain cerebral blood flow. Analyzing the relationship between spontaneous BP and cerebral blood flow velocity (CBFV) using transfer function analysis is a widely used technique to quantify CA in a non-invasive way. The objective of this review was to provide an overview of transfer function techniques used in the assessment of CA. 113 publications were included. This literature showed that there is no gold standard for the execution and implementation of the transfer function. There is a high diversity in settings and criteria used for transfer function analysis. Notable is also the high number of studies which report little on the settings. This disparity makes it difficult to replicate or compare the results of the different studies and further hinders the opportunity to make a distinction between intact and impaired CA in different patient groups. More research on the effects of different implementation techniques on CA results and optimization of the transfer function analysis is urgently needed. Furthermore, international guidelines should be created to inform the minimal description of the applied technique and the interpretation of transfer function outcomes in scientific research.
Copyright © 2014 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cerebral autoregulation; Method comparison; Review; Transfer function analysis

Mesh:

Year:  2014        PMID: 24721458     DOI: 10.1016/j.medengphy.2014.02.001

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  20 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.  Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Nonlinear Analysis.

Authors:  Brandon Christian Henley; Dae C Shin; Rong Zhang; Vasilis Z Marmarelis
Journal:  IEEE Trans Biomed Eng       Date:  2016-07-09       Impact factor: 4.538

Review 3.  Transcranial Doppler in autonomic testing: standards and clinical applications.

Authors:  Lucy Norcliffe-Kaufmann; Brahyan Galindo-Mendez; Ana-Lucia Garcia-Guarniz; Estibaliz Villarreal-Vitorica; Vera Novak
Journal:  Clin Auton Res       Date:  2017-08-18       Impact factor: 4.435

4.  Hemorrhagic transformation and cerebral edema in acute ischemic stroke: Link to cerebral autoregulation.

Authors:  Pedro Castro; Elsa Azevedo; Jorge Serrador; Isabel Rocha; Farzaneh Sorond
Journal:  J Neurol Sci       Date:  2016-11-30       Impact factor: 3.181

5.  Indexes of cerebral autoregulation do not reflect impairment in syncope: insights from head-up tilt test of vasovagal and autonomic failure subjects.

Authors:  Pedro Castro; João Freitas; Rosa Santos; Ronney Panerai; Elsa Azevedo
Journal:  Eur J Appl Physiol       Date:  2017-07-05       Impact factor: 3.078

6.  Assessment of cerebral autoregulation in stroke: A systematic review and meta-analysis of studies at rest.

Authors:  Kannakorn Intharakham; Lucy Beishon; Ronney B Panerai; Victoria J Haunton; Thompson G Robinson
Journal:  J Cereb Blood Flow Metab       Date:  2019-08-21       Impact factor: 6.200

7.  An acute bout of controlled subconcussive impacts can alter dynamic cerebral autoregulation indices: a preliminary investigation.

Authors:  Jonathan D Smirl; Dakota Peacock; Joel S Burma; Alexander D Wright; Kevin J Bouliane; Jill Dierijck; Michael Kennefick; Colin Wallace; Paul van Donkelaar
Journal:  Eur J Appl Physiol       Date:  2022-02-16       Impact factor: 3.078

8.  Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure-flow relation: the CARNet study.

Authors:  Aisha S S Meel-van den Abeelen; David M Simpson; Lotte J Y Wang; Cornelis H Slump; Rong Zhang; Takashi Tarumi; Caroline A Rickards; Stephen Payne; Georgios D Mitsis; Kyriaki Kostoglou; Vasilis Marmarelis; Dae Shin; Yu-Chieh Tzeng; Philip N Ainslie; Erik Gommer; Martin Müller; Alexander C Dorado; Peter Smielewski; Bernardo Yelicich; Corina Puppo; Xiuyun Liu; Marek Czosnyka; Cheng-Yen Wang; Vera Novak; Ronney B Panerai; Jurgen A H R Claassen
Journal:  Med Eng Phys       Date:  2014-04-13       Impact factor: 2.242

Review 9.  Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation.

Authors:  Jurgen A H R Claassen; Dick H J Thijssen; Ronney B Panerai; Frank M Faraci
Journal:  Physiol Rev       Date:  2021-03-26       Impact factor: 37.312

10.  Heart failure patients have enhanced cerebral autoregulation response in acute ischemic stroke.

Authors:  Pedro Castro; Jorge Serrador; Isabel Rocha; Paulo Castro Chaves; Farzaneh Sorond; Elsa Azevedo
Journal:  J Thromb Thrombolysis       Date:  2020-10       Impact factor: 5.221

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