Please use this identifier to cite or link to this item:
Title: Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability
Authors: Sanders, ML
Elting, JWJ
Panerai, RB
Aries, M
Bor-Seng-Shu, E
Caicedo, A
Chacon, M
Gommers, ED
Van Huffel, S
Jara, JL
Kostoglou, K
Mandi, A
Marmarelis, VZ
Mitsis, GD
Muller, M
Nikolic, D
Nogueira, RC
Payne, SJ
Puppo, C
Shin, DC
Simpson, DM
Tarumi, T
Yelicich, B
Zhangs, R
Claassen, JAHR
First Published: 9-Jul-2019
Publisher: Frontiers Media
Citation: Frontiers in Physiology, 2019, 10:865
Abstract: Parameters describing dynamic cerebral autoregulation (DCA) have limited reproducibility. In an international, multi-center study, we evaluated the influence of multiple analytical methods on the reproducibility of DCA. Fourteen participating centers analyzed repeated measurements from 75 healthy subjects, consisting of 5 min of spontaneous fluctuations in blood pressure and cerebral blood flow velocity signals, based on their usual methods of analysis. DCA methods were grouped into three broad categories, depending on output types: (1) transfer function analysis (TFA); (2) autoregulation index (ARI); and (3) correlation coefficient. Only TFA gain in the low frequency (LF) band showed good reproducibility in approximately half of the estimates of gain, defined as an intraclass correlation coefficient (ICC) of >0.6. None of the other DCA metrics had good reproducibility. For TFA-like and ARI-like methods, ICCs were lower than values obtained with surrogate data (p < 0.05). For TFA-like methods, ICCs were lower for the very LF band (gain 0.38 ± 0.057, phase 0.17 ± 0.13) than for LF band (gain 0.59 ± 0.078, phase 0.39 ± 0.11, p ≤ 0.001 for both gain and phase). For ARI-like methods, the mean ICC was 0.30 ± 0.12 and for the correlation methods 0.24 ± 0.23. Based on comparisons with ICC estimates obtained from surrogate data, we conclude that physiological variability or non-stationarity is likely to be the main reason for the poor reproducibility of DCA parameters.
DOI Link: 10.3389/fphys.2019.00865
ISSN: 1664-042X
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2019. This is an open-access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Description: The datasets generated for this study are available on request to the corresponding author. The Supplementary Material for this article can be found online at:
Appears in Collections:Published Articles, Dept. of Cardiovascular Sciences

Files in This Item:
File Description SizeFormat 
fphys-10-00865.pdfPublished (publisher PDF)1.96 MBAdobe PDFView/Open

Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.