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dc.contributor.authorShao, Yu Raymond
dc.contributor.authorKahali, Pegah
dc.contributor.authorHoule, Timothy T
dc.contributor.authorDeng, Hao
dc.contributor.authorColvin, Christopher
dc.contributor.authorDickerson, Bradford C
dc.contributor.authorBrown, Emery Neal
dc.contributor.authorPurdon, Patrick L
dc.date.accessioned2021-11-22T17:45:41Z
dc.date.available2021-11-22T17:45:41Z
dc.date.issued2020-11
dc.identifier.urihttps://hdl.handle.net/1721.1/138189
dc.description.abstractBACKGROUND: A number of recent studies have reported an association between intraoperative burst suppression and postoperative delirium. These studies suggest that anesthesia-induced burst suppression may be an indicator of underlying brain vulnerability. A prominent feature of electroencephalogram (EEG) under propofol and sevoflurane anesthesia is the frontal alpha oscillation. This frontal alpha oscillation is known to decline significantly during aging and is generated by prefrontal brain regions that are particularly prone to age-related neurodegeneration. Given that burst suppression and frontal alpha oscillations are both associated with brain vulnerability, we hypothesized that anesthesia-induced frontal alpha power could also be associated with burst suppression. METHODS: We analyzed EEG data from a previously reported cohort in which 155 patients received propofol (n = 60) or sevoflurane (n = 95) as the primary anesthetic. We computed the EEG spectrum during stable anesthetic maintenance and identified whether or not burst suppression occurred during the anesthetic. We characterized the relationship between burst suppression and alpha power using logistic regression. We proposed 5 different models consisting of different combinations of potential contributing factors associated with burst suppression: (1) a Base Model consisting of alpha power; (2) an Extended Mechanistic Model consisting of alpha power, age, and drug dosing information; (3) a Clinical Confounding Factors Model consisting of alpha power, hypotension, and other confounds; (4) a Simplified Model consisting only of alpha power and propofol bolus administration; and (5) a Full Model consisting of all of these variables to control for as much confounding as possible. RESULTS: All models show a consistent significant association between alpha power and burst suppression while adjusting for different sets of covariates, all with consistent effect size estimates. Using the Simplified Model, we found that for each decibel decrease in alpha power, the odds of experiencing burst suppression increased by 1.33-fold. CONCLUSIONS: In this study, we show how a decrease in anesthesia-induced frontal alpha power is associated with an increased propensity for burst suppression, in a manner that captures individualized information above and beyond a patient's chronological age. Lower frontal alpha band power is strongly associated with higher propensity for burst suppression and, therefore, potentially higher risk of postoperative neurocognitive disorders. We hypothesize that low frontal alpha power and increased propensity for burst suppression together characterize a "vulnerable brain" phenotype under anesthesia that could be mechanistically linked to brain metabolism, cognition, and brain aging.en_US
dc.language.isoen
dc.relation.isversionof10.1213/ANE.0000000000004781en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceAnesthesia & Analgesiaen_US
dc.titleLow Frontal Alpha Power Is Associated With the Propensity for Burst Suppression: An Electroencephalogram Phenotype for a "Vulnerable Brain".en_US
dc.typeArticleen_US
dc.identifier.citationShao, Yu Raymond, Kahali, Pegah, Houle, Timothy T, Deng, Hao, Colvin, Christopher et al. 2020. "Low Frontal Alpha Power Is Associated With the Propensity for Burst Suppression: An Electroencephalogram Phenotype for a "Vulnerable Brain".." Anesth Analg, 131 (5).
dc.contributor.departmentPicower Institute for Learning and Memory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.relation.journalAnesth Analgen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-11-22T17:42:34Z
dspace.orderedauthorsShao, YR; Kahali, P; Houle, TT; Deng, H; Colvin, C; Dickerson, BC; Brown, EN; Purdon, PLen_US
dspace.date.submission2021-11-22T17:42:35Z
mit.journal.volume131en_US
mit.journal.issue5en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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