TY - JOUR
T1 - Transfer function analysis of dynamic cerebral autoregulation
T2 - a CARNet white paper 2022 update
AU - Panerai, Ronney B.
AU - Brassard, Patrice
AU - Burma, Joel S.
AU - Castro, Pedro
AU - Claassen, Jurgen A. HR
AU - on behalf of the Cerebrovascular Research Network (CARNet)
AU - van Lieshout, Johannes J.
AU - Liu, Jia
AU - Lucas, Samuel J. E.
AU - Minhas, Jatinder S.
AU - Mitsis, Georgios D.
AU - Nogueira, Ricardo C.
AU - Ogoh, Shigehiko
AU - Payne, Stephen J.
AU - Rickards, Caroline A.
AU - Robertson, Andrew D.
AU - Rodrigues, Gabriel D.
AU - Smirl, Jonathan D.
AU - Simpson, David M.
N1 - Publisher Copyright: © The Author(s) 2022.
PY - 2023/1
Y1 - 2023/1
N2 - Cerebral autoregulation (CA) refers to the control of cerebral tissue blood flow (CBF) in response to changes in perfusion pressure. Due to the challenges of measuring intracranial pressure, CA is often described as the relationship between mean arterial pressure (MAP) and CBF. Dynamic CA (dCA) can be assessed using multiple techniques, with transfer function analysis (TFA) being the most common. A 2016 white paper by members of an international Cerebrovascular Research Network (CARNet) that is focused on CA strove to improve TFA standardization by way of introducing data acquisition, analysis, and reporting guidelines. Since then, additional evidence has allowed for the improvement and refinement of the original recommendations, as well as for the inclusion of new guidelines to reflect recent advances in the field. This second edition of the white paper contains more robust, evidence-based recommendations, which have been expanded to address current streams of inquiry, including optimizing MAP variability, acquiring CBF estimates from alternative methods, estimating alternative dCA metrics, and incorporating dCA quantification into clinical trials. Implementation of these new and revised recommendations is important to improve the reliability and reproducibility of dCA studies, and to facilitate inter-institutional collaboration and the comparison of results between studies.
AB - Cerebral autoregulation (CA) refers to the control of cerebral tissue blood flow (CBF) in response to changes in perfusion pressure. Due to the challenges of measuring intracranial pressure, CA is often described as the relationship between mean arterial pressure (MAP) and CBF. Dynamic CA (dCA) can be assessed using multiple techniques, with transfer function analysis (TFA) being the most common. A 2016 white paper by members of an international Cerebrovascular Research Network (CARNet) that is focused on CA strove to improve TFA standardization by way of introducing data acquisition, analysis, and reporting guidelines. Since then, additional evidence has allowed for the improvement and refinement of the original recommendations, as well as for the inclusion of new guidelines to reflect recent advances in the field. This second edition of the white paper contains more robust, evidence-based recommendations, which have been expanded to address current streams of inquiry, including optimizing MAP variability, acquiring CBF estimates from alternative methods, estimating alternative dCA metrics, and incorporating dCA quantification into clinical trials. Implementation of these new and revised recommendations is important to improve the reliability and reproducibility of dCA studies, and to facilitate inter-institutional collaboration and the comparison of results between studies.
KW - Cerebral hemodynamics
KW - consensus guidelines
KW - reference values
KW - transfer function analysis
UR - http://www.scopus.com/inward/record.url?scp=85136073011&partnerID=8YFLogxK
U2 - https://doi.org/10.1177/0271678X221119760
DO - https://doi.org/10.1177/0271678X221119760
M3 - Review article
C2 - 35962478
SN - 0271-678X
VL - 43
SP - 3
EP - 25
JO - Journal of cerebral blood flow and metabolism
JF - Journal of cerebral blood flow and metabolism
IS - 1
ER -