Clinical Electroencephalography for Anesthesiologists
Name
Brown_Clinical Electroencephalography.pdf
Size
2.14 MB
Format
Adobe PDF
Checksum (MD5)
6928c2619a501e3212aa36922dd7f8cb
Author(s) • • •
Purdon, Patrick L.
Sampson, Aaron
Pavone, Kara J.
Brown, Emery N.
Date Issued
October 2015
Journal
Anesthesiology
Publisher
Ovid Technologies (Wolters Kluwer) - Lippincott Williams & Wilkins
Citation
Purdon, Patrick L., Aaron Sampson, Kara J. Pavone, and Emery N. Brown. “Clinical Electroencephalography for Anesthesiologists.” Anesthesiology 123, no. 4 (October 2015): 937–960.
Version
Author's final manuscript
Abstract
The widely used electroencephalogram-based indices for depth-of-anesthesia monitoring assume that the same index value defines the same level of unconsciousness for all anesthetics. In contrast, we show that different anesthetics act at different molecular targets and neural circuits to produce distinct brain states that are readily visible in the electroencephalogram. We present a two-part review to educate anesthesiologists on use of the unprocessed electroencephalogram and its spectrogram to track the brain states of patients receiving anesthesia care. Here in Part I, we review the biophysics of the electroencephalogram, and the neurophysiology of the electroencephalogram signatures of three intravenous anesthetics: propofol, dexmedetomidine and ketamine; and four inhaled anesthetics: sevoflurane, isoflurane, desflurane and nitrous oxide. Later in Part II, we discuss patient management using these electroencephalogram signatures. Use of these electroencephalogram signatures suggests a neurophysiologically-based paradigm for brain-state monitoring of patients receiving anesthesia care.
MIT Department
Institute for Medical Engineering and Science
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1097/aln.0000000000000841