Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

Marit L. Sanders, Jan Willem J. Elting, Ronney B. Panerai, Marcel Aries, Edson Bor-Seng-Shu, Alexander Caicedo, Max Chacon, Erik D. Gommer, Sabine Van Huffel, Jose L. Jara, Kyriaki Kostoglou, Adam Mandi, Vasilis Z. Marmarelis, Georgios D. Mitsis, Martin Muller, Dragana Nikolic, Ricardo C. Nogueira, Stephen J. Payne, Corina Puppo, Dae C. ShinDavid M. Simpson, Takashi Tarumi, Bernardo Yelicich, Rong Zhangs, Jurgen A. H. R. Claassen*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


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

Original languageEnglish
Article number865
Number of pages11
JournalFrontiers in physiology
Publication statusPublished - 9 Jul 2019


  • ARI index
  • cerebral blood flow
  • cerebral hemodynamics
  • transcranial Doppler
  • transfer function analysis

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