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Dynamic cerebral autoregulation, that is the transient response of cerebralblood flow to changes in arterial blood pressure, is currently assessed using avariety of different time series methods and data collection protocols. In thecontinuing absence of a gold standard for the study of cerebral autoregulationit is unclear to what extent does the assessment depend on the choice of acomputational method and protocol. We use continuous measurements of bloodpressure and cerebral blood flow velocity in the middle cerebral artery fromthe cohorts of 18 normotensive subjects performing sit-to-stand manoeuvre. Weestimate cerebral autoregulation using a wide variety of black-box approaches(ARI, Mx, Sx, Dx, FIR and ARX) and compare them in the context ofreproducibility and variability. For all autoregulation indices, consideredhere, the ICC was greater during the standing protocol, however, it wassignificantly greater (Fisher's Z-test) for Mx (p < 0.03), Sx (p<0.003)$ and Dx(p<0.03). In the specific case of the sit-to-stand manoeuvre, measurementstaken immediately after standing up greatly improve the reproducibility of theautoregulation coefficients. This is generally coupled with an increase of thewithin-group spread of the estimates.

Increased blood pressure variability upon standing up improves reproducibility of cerebral autoregulation indices