dc.contributor.author | Brown, Emery Neal | |
dc.contributor.author | Purdon, Patrick Lee | |
dc.contributor.author | Akeju, Oluwaseun | |
dc.contributor.author | An, J. | |
dc.date.accessioned | 2019-12-30T22:56:44Z | |
dc.date.available | 2019-12-30T22:56:44Z | |
dc.date.issued | 2018-07 | |
dc.date.submitted | 2017-12 | |
dc.identifier.issn | 0007-0912 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/123324 | |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Award R01 GM104948) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Award P01 GM118629) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Award R01 AG053582) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Award R01AG056015) | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/j.bja.2017.12.034 | en_US |
dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | Prof. Brown via Courtney Crummett | en_US |
dc.title | Using EEG markers to make inferences about anaesthetic-induced altered states of arousal | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Brown, E. N. et al. "Using EEG markers to make inferences about anaesthetic-induced altered states of arousal." British Journal of Anaesthesia 121, 1 (July 2018): 325-327 © 2018 British Journal of Anaesthesia | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | en_US |
dc.contributor.department | Picower Institute for Learning and Memory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
dc.relation.journal | British Journal of Anaesthesia | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.date.submission | 2019-12-05T17:41:37Z | |
mit.journal.volume | 121 | en_US |
mit.journal.issue | 1 | en_US |
mit.license | OPEN_ACCESS_POLICY | |