Transcranial doppler assessment of cerebral autoregulation

Bellapart, J. and Fraser, J. F. (2009) Transcranial doppler assessment of cerebral autoregulation. Ultrasound in Medicine & Biology, 35 6: 883-893. doi:10.1016/j.ultrasmedbio.2009.01.005


Author Bellapart, J.
Fraser, J. F.
Title Transcranial doppler assessment of cerebral autoregulation
Journal name Ultrasound in Medicine & Biology   Check publisher's open access policy
ISSN 0301-5629
Publication date 2009-01-01
Year available 2009
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1016/j.ultrasmedbio.2009.01.005
Open Access Status
Volume 35
Issue 6
Start page 883
End page 893
Total pages 11
Editor Wells, P.
Place of publication United States
Publisher Elsevier Inc
Language eng
Subject C1
920203 Diagnostic Methods
920408 Health Status (e.g. Indicators of Well-Being)
110305 Emergency Medicine
Abstract Cerebral autoregulation describes the process by which cerebral blood flow is maintained despite fluctuations in cerebral perfusion pressure. The assessment of cerebral autoregulation is a key to the optimisation of cerebral perfusion pressure in patients with brain injury. This review evaluates the current evidence for transcranial Doppler in the assessment of cerebral autoregulation. The study of cerebral autoregulation classically assesses changes in cerebral perfusion pressure secondary to changes in systemic blood pressure. It is defined static autoregulation if blood pressure changes are progressive, thereby allowing a steady-state autoregulatory response to be completed. For sudden changes in blood pressure, the autoregulatory response is defined as dynamic. The static and dynamic components of cerebral autoregulation have been approached using linear mathematical models (models based in direct correlations). Over the past decade, demonstration of the nonstationary (the property of changing over time or space) behaviour of cerebral autoregulation has emphasised the benefit obtained in using nonlinear statistical models (models based on changeable functions), suggesting that these methods may improve the mathematical representation of cerebral autoregulation. Despite the multiple determinants involved in cerebral autoregulation, it appears feasible to reliably assess cerebral autoregulation through the combination of linear and nonlinear methods. Nonlinear methods appear attractive in the research setting, but the challenge is how to adopt these methods to the clinical setting.
Keyword Acoustics
Radiology, Nuclear Medicine & Medical Imaging
Acoustics
Radiology, Nuclear Medicine & Medical Imaging
ACOUSTICS
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: 2010 Higher Education Research Data Collection
School of Medicine Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 24 Mar 2010, 21:54:50 EST by Maree Knight on behalf of Anaesthesiology and Critical Care - RBWH