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

Editor-Gaskell and colleagues conducted a secondary analysis of a heterogeneous, multicentre database to study the relationship between the presence of frontal alpha-delta EEG patterns and volitional responses assessed after anaesthesia induction using an isolated forearm technique. The authors conc...

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Bibliographic Details
Main Authors: Brown, E.N (Author), Purdon, Patrick Lee (Author), Akeju, Oluwaseun (Author), An, J. (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor), Picower Institute for Learning and Memory (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Harvard University- (Contributor)
Format: Article
Language:English
Published: Elsevier, 2019-12-30T22:56:44Z.
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Summary:Editor-Gaskell and colleagues conducted a secondary analysis of a heterogeneous, multicentre database to study the relationship between the presence of frontal alpha-delta EEG patterns and volitional responses assessed after anaesthesia induction using an isolated forearm technique. The authors conclude that that neither the presence of the frontal alpha-delta EEG patterns, nor any other EEG measure that they evaluated, reliably correlated with the volitional responses. Based on the data the authors present, this statement is not correct.
National Institutes of Health (U.S.) (Award R01 GM104948)
National Institutes of Health (U.S.) (Award P01 GM118629)
National Institutes of Health (U.S.) (Award R01 AG053582)
National Institutes of Health (U.S.) (Award R01AG056015)