The INfoMATAS project: methods for assessing cerebral autoregulation in stroke
The INfoMATAS project: methods for assessing cerebral autoregulation in stroke
Cerebral autoregulation refers to the physiological mechanism that aims to maintain blood flow to the brain approximately constant when blood pressure changes. Impairment of this protective mechanism has been linked to a number of serious clinical conditions, including carotid stenosis, head trauma, subarachnoid haemorrhage and stroke. While the concept and experimental evidence is well established, methods for the assessment of autoregulation in individual patients remains an open challenge, with no gold-standard having emerged. In the current review paper, we will outline some of the basic concepts of autoregulation, as a foundation for experimental protocols and signal analysis methods used to extract indexes of cerebral autoregulation. Measurement methods for blood flow and pressure are discussed, followed by an outline of signal pre-processing steps. An outline of the data analysis methods is then provided, linking the different approaches through their underlying principles and rationale. The methods cover correlation based approaches (e.g. Mx) through Transfer Function Analysis to non-linear, multivariate and time-variant approaches. Challenges in choosing which method may be ‘best’ and some directions for ongoing and future research conclude this work.
Cerebral autoregulation, cerebral blood flow, haemodynamic regulation, signal processing, stroke
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Payne, Stephen J.
4ba9b3a7-ac66-4856-8547-4ac0cd67ddfc
Panerai, Ronney B.
7acaf714-a17c-4df2-a1f3-b148c1445517
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Payne, Stephen J.
4ba9b3a7-ac66-4856-8547-4ac0cd67ddfc
Panerai, Ronney B.
7acaf714-a17c-4df2-a1f3-b148c1445517
Simpson, David, Payne, Stephen J. and Panerai, Ronney B.
(2021)
The INfoMATAS project: methods for assessing cerebral autoregulation in stroke.
Journal of Cerebral Blood Flow and Metabolism.
(doi:10.1177/0271678X211029049).
Abstract
Cerebral autoregulation refers to the physiological mechanism that aims to maintain blood flow to the brain approximately constant when blood pressure changes. Impairment of this protective mechanism has been linked to a number of serious clinical conditions, including carotid stenosis, head trauma, subarachnoid haemorrhage and stroke. While the concept and experimental evidence is well established, methods for the assessment of autoregulation in individual patients remains an open challenge, with no gold-standard having emerged. In the current review paper, we will outline some of the basic concepts of autoregulation, as a foundation for experimental protocols and signal analysis methods used to extract indexes of cerebral autoregulation. Measurement methods for blood flow and pressure are discussed, followed by an outline of signal pre-processing steps. An outline of the data analysis methods is then provided, linking the different approaches through their underlying principles and rationale. The methods cover correlation based approaches (e.g. Mx) through Transfer Function Analysis to non-linear, multivariate and time-variant approaches. Challenges in choosing which method may be ‘best’ and some directions for ongoing and future research conclude this work.
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0271678x211029049
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Accepted/In Press date: 2021
e-pub ahead of print date: 19 July 2021
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Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The authors received funding from Research Councils UK (EPSRC - EP/K036157/1).
Publisher Copyright:
© The Author(s) 2021.
Keywords:
Cerebral autoregulation, cerebral blood flow, haemodynamic regulation, signal processing, stroke
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Local EPrints ID: 452893
URI: http://eprints.soton.ac.uk/id/eprint/452893
PURE UUID: 6ab60705-9f65-4bf4-9346-6a442c73e3ef
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Date deposited: 06 Jan 2022 17:47
Last modified: 17 Mar 2024 02:56
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Author:
Stephen J. Payne
Author:
Ronney B. Panerai
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