10.3389/fphys.2019.00865.s001
Marit L. Sanders
Marit L.
Sanders
Jan Willem J. Elting
Jan Willem J.
Elting
Ronney B. Panerai
Ronney B.
Panerai
Marcel Aries
Marcel
Aries
Edson Bor-Seng-Shu
Edson
Bor-Seng-Shu
Alexander Caicedo
Alexander
Caicedo
Max Chacon
Max
Chacon
Erik D. Gommer
Erik D.
Gommer
Sabine Van Huffel
Sabine
Van Huffel
José L. Jara
José L.
Jara
Kyriaki Kostoglou
Kyriaki
Kostoglou
Adam Mahdi
Adam
Mahdi
Vasilis Z. Marmarelis
Vasilis Z.
Marmarelis
Georgios D. Mitsis
Georgios D.
Mitsis
Martin Müller
Martin
Müller
Dragana Nikolic
Dragana
Nikolic
Ricardo C. Nogueira
Ricardo C.
Nogueira
Stephen J. Payne
Stephen J.
Payne
Corina Puppo
Corina
Puppo
Dae C. Shin
Dae C.
Shin
David M. Simpson
David M.
Simpson
Takashi Tarumi
Takashi
Tarumi
Bernardo Yelicich
Bernardo
Yelicich
Rong Zhang
Rong
Zhang
Jurgen A. H. R. Claassen
Jurgen A. H. R.
Claassen
Data_Sheet_1_Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability.docx
Frontiers
2019
ARI index
cerebral blood flow
cerebral hemodynamics
transcranial Doppler
transfer function analysis
2019-07-09 15:30:22
Dataset
https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Dynamic_Cerebral_Autoregulation_Reproducibility_Is_Affected_by_Physiological_Variability_docx/8846210
<p>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.</p>