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Comment
. 2018 Jul;121(1):325-327.
doi: 10.1016/j.bja.2017.12.034. Epub 2018 Mar 14.

Using EEG markers to make inferences about anaesthetic-induced altered states of arousal

E N Brown  1 , P L Purdon  2 , O Akeju  2 , J An  3
Affiliations
Comment

Using EEG markers to make inferences about anaesthetic-induced altered states of arousal

E N Brown et al. Br J Anaesth. 2018 Jul.
No abstract available

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Figures

Figure 1
Figure 1
Bayesian analysis of the probability of responding as a function of EEG signatures using a beta-binomial model. (A) Blue curve is f(ptmax), the posterior probability density of responding during the isolated forearm test given a trough-max EEG pattern. Orange curve is f(ptmax), the posterior probability density of responding during the isolated forearm test given a peak-max/burst suppression EEG pattern. (B) Probability density of the difference between the trough-max and the peak-max probability of responding computed by Monte Carlo convolution. The probability density f(ptmax − ppmax), gives the probability that the trough-max probability of response is greater than the peak-max probability of response. The probability that the trough max response probability is greater than the peak-max probability is 0.9984 (area under the curve to the right of zero). Hence, the trough-max and peak-max groups can be distinguished with near certainty.
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Comment in

  • Using EEG markers to titrate anaesthesia.
    Gaskell A, Sanders RD, Sleigh J. Gaskell A, et al. Br J Anaesth. 2018 Jul;121(1):327-329. doi: 10.1016/j.bja.2018.04.003. Epub 2018 May 8. Br J Anaesth. 2018. PMID: 29935588 No abstract available.

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