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Point-Counterpoint: Transfer function analysis of dynamic cerebral autoregulation: To band or not to band?

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journal contribution
posted on 21.06.2022, 09:44 authored by Jia Liu, David M Simpson, Ronney B Panerai
Transfer function analysis (TFA) is the most frequently adopted method for assessing dynamic cerebral autoregulation (CA) with continuously recorded arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV). Conventionally, values of autoregulatory metrics (e.g., gain and phase) derived from TFA are averaged within three frequency bands separated by cut-off frequencies at 0.07 Hz and 0.20 Hz, respectively, to represent the efficiency of dynamic CA. However, this is of increasing concerns, as there remains no solid evidence for choosing these specific cut-off frequencies, and the rigid adoption of these bands can stifle further developments in TFA of dynamic CA. In this 'Point-Counterpoint' mini-review, we provide evidence against the fixed banding, indicate possible alternatives, and call for awareness of the risk of the 'one-size-fits-all' banding becoming dogmatic. We conclude that we need to remain open to the multiple possibilities offered by TFA to realize its full potential in studies of human dynamic CA.

History

Citation

Journal of Cerebral Blood Flow and Metabolism, 2022, https://doi.org/10.1177/0271678X221098448

Author affiliation

Department of Cardiovascular Sciences, University of Leicester

Version

AM (Accepted Manuscript)

Published in

Journal of Cerebral Blood Flow and Metabolism

Publisher

SAGE Publications

issn

0271-678X

eissn

1559-7016

Copyright date

2022

Available date

21/06/2022

Spatial coverage

United States

Language

English