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dc.contributor.authorChing, ShiNung
dc.contributor.authorBrown, Emery Neal
dc.date.accessioned2016-05-02T14:33:36Z
dc.date.available2016-05-02T14:33:36Z
dc.date.issued2014-01
dc.identifier.issn09594388
dc.identifier.urihttp://hdl.handle.net/1721.1/102348
dc.description.abstractGeneral anesthesia is a neurophysiological state that consists of unconsciousness, amnesia, analgesia, and immobility along with maintenance of physiological stability. General anesthesia has been used in the United States for more than 167 years. Now, using systems neuroscience paradigms how anesthetics act in the brain and central nervous system to create the states of general anesthesia is being understood. Propofol is one of the most widely used and the most widely studied anesthetics. When administered for general anesthesia or sedation, the electroencephalogram (EEG) under propofol shows highly structured, rhythmic activity that is strongly associated with changes in the patient's level of arousal. These highly structured oscillations lend themselves readily to mathematical descriptions using dynamical systems models. We review recent model descriptions of the commonly observed EEG patterns associated with propofol: paradoxical excitation, strong frontal alpha oscillations, anteriorization and burst suppression. Our analysis suggests that propofol's actions at GABAergic networks in the cortex, thalamus and brainstem induce profound brain dynamics that are one of the likely mechanisms through which this anesthetic induces altered arousal states from sedation to unconsciousness. Because these dynamical effects are readily observed in the EEG, the mathematical descriptions of how propofol's EEG signatures relate to its mechanisms of action in neural circuits provide anesthesiologists with a neurophysiologically based approach to monitoring the brain states of patients receiving anesthesia care.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Director's Pioneer Award DP1-OD003646)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Director's Transformative Research Award R01 GM104948-01)en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.conb.2013.12.011en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleModeling the dynamical effects of anesthesia on brain circuitsen_US
dc.typeArticleen_US
dc.identifier.citationChing, ShiNung, and Emery N Brown. “Modeling the Dynamical Effects of Anesthesia on Brain Circuits.” Current Opinion in Neurobiology 25 (April 2014): 116–122.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.mitauthorBrown, Emery N.en_US
dc.relation.journalCurrent Opinion in Neurobiologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsChing, ShiNung; Brown, Emery Nen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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