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Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network

Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network
Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network
Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer function analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer function analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer function analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) the Cerebral Autoregulation Research Network
transfer, function, analysis, dynamic, cerebral, autoregulation, white, paper, international, research, network
0271-678X
665-680
Claassen, Jurgen A.H.R.
a9f02f02-831d-47bb-897e-670cbba44016
Meel-van den Abeelen, Aisha S.S.
cf418fe9-b80f-4b91-89d0-813653a5d6ed
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Panerai, Ronney B.
7acaf714-a17c-4df2-a1f3-b148c1445517
Claassen, Jurgen A.H.R.
a9f02f02-831d-47bb-897e-670cbba44016
Meel-van den Abeelen, Aisha S.S.
cf418fe9-b80f-4b91-89d0-813653a5d6ed
Simpson, David
53674880-f381-4cc9-8505-6a97eeac3c2a
Panerai, Ronney B.
7acaf714-a17c-4df2-a1f3-b148c1445517

Claassen, Jurgen A.H.R., Meel-van den Abeelen, Aisha S.S., Simpson, David and Panerai, Ronney B. (2016) Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network. Journal of Cerebral Blood Flow & Metabolism, 36 (4), 665-680. (doi:10.1177/0271678X15626425). (PMID:26782760)

Record type: Article

Abstract

Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer function analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer function analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer function analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) the Cerebral Autoregulation Research Network

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More information

Accepted/In Press date: 15 December 2015
e-pub ahead of print date: 18 January 2016
Published date: April 2016
Keywords: transfer, function, analysis, dynamic, cerebral, autoregulation, white, paper, international, research, network
Organisations: Human Sciences Group, Signal Processing & Control Grp

Identifiers

Local EPrints ID: 386915
URI: http://eprints.soton.ac.uk/id/eprint/386915
ISSN: 0271-678X
PURE UUID: d4b2f0af-17b5-455e-9ceb-9f3257f8f370
ORCID for David Simpson: ORCID iD orcid.org/0000-0001-9072-5088

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Date deposited: 05 Feb 2016 12:13
Last modified: 15 Mar 2024 03:14

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Contributors

Author: Jurgen A.H.R. Claassen
Author: Aisha S.S. Meel-van den Abeelen
Author: David Simpson ORCID iD
Author: Ronney B. Panerai

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