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dc.contributor.authorLiberman, Max Y.
dc.contributor.authorChemali, Jessica J.
dc.contributor.authorWestover, M. Brandon
dc.contributor.authorKenny, Jonathan D.
dc.contributor.authorSolt, Ken
dc.contributor.authorPurdon, Patrick Lee
dc.contributor.authorChing, Shinung
dc.contributor.authorBrown, Emery Neal
dc.date.accessioned2016-05-02T13:18:39Z
dc.date.available2016-05-02T13:18:39Z
dc.date.issued2013-10
dc.identifier.issn0003-3022
dc.identifier.urihttp://hdl.handle.net/1721.1/102344
dc.description.abstractBackground:: A medically induced coma is an anesthetic state of profound brain inactivation created to treat status epilepticus and to provide cerebral protection after traumatic brain injuries. The authors hypothesized that a closed-loop anesthetic delivery system could automatically and precisely control the electroencephalogram state of burst suppression and efficiently maintain a medically induced coma. Methods:: In six rats, the authors implemented a closed-loop anesthetic delivery system for propofol consisting of: a computer-controlled pump infusion, a two-compartment pharmacokinetics model defining propofol’s electroencephalogram effects, the burst-suppression probability algorithm to compute in real time from the electroencephalogram the brain’s burst-suppression state, an online parameter-estimation procedure and a proportional-integral controller. In the control experiment each rat was randomly assigned to one of the six burst-suppression probability target trajectories constructed by permuting the burst-suppression probability levels of 0.4, 0.65, and 0.9 with linear transitions between levels. Results:: In each animal the controller maintained approximately 60 min of tight, real-time control of burst suppression by tracking each burst-suppression probability target level for 15 min and two between-level transitions for 5–10 min. The posterior probability that the closed-loop anesthetic delivery system was reliable across all levels was 0.94 (95% CI, 0.77–1.00; n = 18) and that the system was accurate across all levels was 1.00 (95% CI, 0.84–1.00; n = 18). Conclusion:: The findings of this study establish the feasibility of using a closed-loop anesthetic delivery systems to achieve in real time reliable and accurate control of burst suppression in rodents and suggest a paradigm to precisely control medically induced coma in patients. A closed-loop anesthesia delivery system using a computer-controlled infusion of propofol can achieve a reliable and accurate real-time control of burst suppression in rats.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant DP1-OD003646)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant ROI-GM10498)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant DP2-OD006454)en_US
dc.language.isoen_US
dc.publisherOvid Technologies (Wolters Kluwer) - Lippincott Williams & Wilkinsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1097/ALN.0b013e31829d4ab4en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleReal-time Closed-loop Control in a Rodent Model of Medically Induced Coma Using Burst Suppressionen_US
dc.typeArticleen_US
dc.identifier.citationChing, ShiNung, Max Y. Liberman, Jessica J. Chemali, M. Brandon Westover, Jonathan D. Kenny, Ken Solt, Patrick L. Purdon, and Emery N. Brown. “Real-Time Closed-Loop Control in a Rodent Model of Medically Induced Coma Using Burst Suppression.” Anesthesiology 119, no. 4 (October 2013): 848–860.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentPicower Institute for Learning and Memoryen_US
dc.contributor.mitauthorChing, ShiNungen_US
dc.contributor.mitauthorSolt, Kenen_US
dc.contributor.mitauthorPurdon, Patrick Leeen_US
dc.contributor.mitauthorBrown, Emery N.en_US
dc.relation.journalAnesthesiologyen_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; Liberman, Max Y.; Chemali, Jessica J.; Westover, M. Brandon; Kenny, Jonathan D.; Solt, Ken; Purdon, Patrick L.; Brown, Emery N.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5328-2062
dc.identifier.orcidhttps://orcid.org/0000-0001-5651-5060
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
mit.licenseOPEN_ACCESS_POLICYen_US


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