dc.contributor.author | Akeju, Oluwaseun | |
dc.contributor.author | Pavone, Kara J. | |
dc.contributor.author | Westover, M. Brandon | |
dc.contributor.author | Vazquez, Rafael | |
dc.contributor.author | Prerau, Michael J. | |
dc.contributor.author | Harrell, Priscilla G. | |
dc.contributor.author | Hartnack, Katharine E. | |
dc.contributor.author | Rhee, James | |
dc.contributor.author | Sampson, Aaron L. | |
dc.contributor.author | Habeeb, Kathleen | |
dc.contributor.author | Lei, Gao | |
dc.contributor.author | Pierce, Eric T. | |
dc.contributor.author | Walsh, John L. | |
dc.contributor.author | Brown, Emery N. | |
dc.contributor.author | Purdon, Patrick Lee | |
dc.date.accessioned | 2016-04-29T21:02:12Z | |
dc.date.available | 2016-04-29T21:02:12Z | |
dc.date.issued | 2014-11 | |
dc.date.submitted | 2014-01 | |
dc.identifier.issn | 0003-3022 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/102342 | |
dc.description.abstract | Background:: Electroencephalogram patterns observed during sedation with dexmedetomidine appear similar to those observed during general anesthesia with propofol. This is evident with the occurrence of slow (0.1 to 1 Hz), delta (1 to 4 Hz), propofol-induced alpha (8 to 12 Hz), and dexmedetomidine-induced spindle (12 to 16 Hz) oscillations. However, these drugs have different molecular mechanisms and behavioral properties and are likely accompanied by distinguishing neural circuit dynamics.
Methods:: The authors measured 64-channel electroencephalogram under dexmedetomidine (n = 9) and propofol (n = 8) in healthy volunteers, 18 to 36 yr of age. The authors administered dexmedetomidine with a 1-µg/kg loading bolus over 10 min, followed by a 0.7 µg kg−1 h−1 infusion. For propofol, the authors used a computer-controlled infusion to target the effect-site concentration gradually from 0 to 5 μg/ml. Volunteers listened to auditory stimuli and responded by button press to determine unconsciousness. The authors analyzed the electroencephalogram using multitaper spectral and coherence analysis.
Results:: Dexmedetomidine was characterized by spindles with maximum power and coherence at approximately 13 Hz (mean ± SD; power, −10.8 ± 3.6 dB; coherence, 0.8 ± 0.08), whereas propofol was characterized with frontal alpha oscillations with peak frequency at approximately 11 Hz (power, 1.1 ± 4.5 dB; coherence, 0.9 ± 0.05). Notably, slow oscillation power during a general anesthetic state under propofol (power, 13.2 ± 2.4 dB) was much larger than during sedative states under both propofol (power, −2.5 ± 3.5 dB) and dexmedetomidine (power, −0.4 ± 3.1 dB).
Conclusion:: The results indicate that dexmedetomidine and propofol place patients into different brain states and suggest that propofol enables a deeper state of unconsciousness by inducing large-amplitude slow oscillations that produce prolonged states of neuronal silence. | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grant DP2-OD006454) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grant DP1-OD003646) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (Grant TR01-GM104948) | en_US |
dc.language.iso | en_US | |
dc.publisher | Ovid Technologies (Wolters Kluwer) - Lippincott Williams & Wilkins | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1097/aln.0000000000000419 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
dc.source | PMC | en_US |
dc.title | A Comparison of Propofol- and Dexmedetomidine-induced Electroencephalogram Dynamics Using Spectral and Coherence Analysis | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Akeju, Oluwaseun, Kara J. Pavone, M. Brandon Westover, Rafael Vazquez, Michael J. Prerau, Priscilla G. Harrell, Katharine E. Hartnack, et al. “A Comparison of Propofol- and Dexmedetomidine-Induced Electroencephalogram Dynamics Using Spectral and Coherence Analysis.” Anesthesiology 121, no. 5 (November 2014): 978–989. | en_US |
dc.contributor.department | Institute for Medical Engineering and Science | en_US |
dc.contributor.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | en_US |
dc.contributor.department | Picower Institute for Learning and Memory | en_US |
dc.contributor.mitauthor | Brown, Emery N. | en_US |
dc.contributor.mitauthor | Purdon, Patrick Lee | en_US |
dc.relation.journal | Anesthesiology | 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.orderedauthors | Akeju, Oluwaseun; Pavone, Kara J.; Westover, M. Brandon; Vazquez, Rafael; Prerau, Michael J.; Harrell, Priscilla G.; Hartnack, Katharine E.; Rhee, James; Sampson, Aaron L.; Habeeb, Kathleen; Lei, Gao; Pierce, Eric T.; Walsh, John L.; Brown, Emery N.; Purdon, Patrick L. | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-5651-5060 | |
dc.identifier.orcid | https://orcid.org/0000-0003-2668-7819 | |
mit.license | OPEN_ACCESS_POLICY | en_US |