Literature DB >> 19608830

Practical use of the raw electroencephalogram waveform during general anesthesia: the art and science.

Cambell Bennett1, Logan J Voss, John P M Barnard, James W Sleigh.   

Abstract

Quantitative electroencephalogram (qEEG) monitors are often used to estimate depth of anesthesia and intraoperative recall during general anesthesia. As with any monitor, the processed numerical output is often misleading and has to be interpreted within a clinical context. For the safe clinical use of these monitors, a clear mental picture of the expected raw electroencephalogram (EEG) patterns, as well as a knowledge of the common EEG artifacts, is absolutely necessary. This has provided the motivation to write this tutorial. We describe, and give examples of, the typical EEG features of adequate general anesthesia, effects of noxious stimulation, and adjunctive drugs. Artifacts are commonly encountered and may be classified as arising from outside the head, from the head but outside the brain (commonly frontal electromyogram), or from within the brain (atypical or pathologic). We include real examples of clinical problem-solving processes. In particular, it is important to realize that an artifactually high qEEG index is relatively common and may result in dangerous anesthetic drug overdose. The anesthesiologist must be certain that the qEEG number is consistent with the apparent state of the patient, the doses of various anesthetic drugs, and the degree of surgical stimulation, and that the qEEG number is consistent with the appearance of the raw EEG signal. Any discrepancy must be a stimulus for the immediate critical examination of the patient's state using all the available information rather than reactive therapy to "treat" a number.

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Year:  2009        PMID: 19608830     DOI: 10.1213/ane.0b013e3181a9fc38

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  33 in total

1.  Time in general anesthesia: depriving the homeostat?

Authors:  Joseph T Daley; Max B Kelz
Journal:  Sleep       Date:  2010-12       Impact factor: 5.849

Review 2.  Clinical Electroencephalography for Anesthesiologists: Part I: Background and Basic Signatures.

Authors:  Patrick L Purdon; Aaron Sampson; Kara J Pavone; Emery N Brown
Journal:  Anesthesiology       Date:  2015-10       Impact factor: 7.892

3.  Individual indicators of appropriate hypnotic level during propofol anesthesia: highest alpha power and effect-site concentrations of propofol at loss of response.

Authors:  Hongling Kang; Hassan Mamdouh Hassan Mohamed; Masaki Takashina; Takahiko Mori; Yuji Fujino; Satoshi Hagihira
Journal:  J Anesth       Date:  2017-02-14       Impact factor: 2.078

4.  Age-dependency of sevoflurane-induced electroencephalogram dynamics in children.

Authors:  O Akeju; K J Pavone; J A Thum; P G Firth; M B Westover; M Puglia; E S Shank; E N Brown; P L Purdon
Journal:  Br J Anaesth       Date:  2015-07       Impact factor: 9.166

5.  The Ageing Brain: Age-dependent changes in the electroencephalogram during propofol and sevoflurane general anaesthesia.

Authors:  P L Purdon; K J Pavone; O Akeju; A C Smith; A L Sampson; J Lee; D W Zhou; K Solt; E N Brown
Journal:  Br J Anaesth       Date:  2015-07       Impact factor: 9.166

6.  Do we need more anesthesia EEG indexes?

Authors:  Ville Jäntti
Journal:  J Clin Monit Comput       Date:  2012-12-25       Impact factor: 2.502

7.  Rapid fragmentation of neuronal networks at the onset of propofol-induced unconsciousness.

Authors:  Laura D Lewis; Veronica S Weiner; Eran A Mukamel; Jacob A Donoghue; Emad N Eskandar; Joseph R Madsen; William S Anderson; Leigh R Hochberg; Sydney S Cash; Emery N Brown; Patrick L Purdon
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-05       Impact factor: 11.205

Review 8.  Glutamatergic function in the resting awake human brain is supported by uniformly high oxidative energy.

Authors:  Fahmeed Hyder; Robert K Fulbright; Robert G Shulman; Douglas L Rothman
Journal:  J Cereb Blood Flow Metab       Date:  2013-01-09       Impact factor: 6.200

9.  In reply.

Authors:  Patrick L Purdon; David W Zhou; Oluwaseun Akeju; Emery N Brown
Journal:  Anesthesiology       Date:  2015-09       Impact factor: 7.892

10.  Peak and averaged bicoherence for different EEG patterns during general anaesthesia.

Authors:  Stacey Pritchett; Eugene Zilberg; Zheng Ming Xu; Paul Myles; Ian Brown; David Burton
Journal:  Biomed Eng Online       Date:  2010-11-20       Impact factor: 2.819

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