Literature DB >> 20191785

Episodic waveforms in the electroencephalogram during general anaesthesia: a study of patterns of response to noxious stimuli.

E C MacKay1, J W Sleigh, L J Voss, J P Barnard.   

Abstract

Previous studies of the electroencephalogram (EEG) during anaesthesia have identified two distinct patterns of change in response to a noxious stimulus, a classical arousal pattern and a paradoxical arousal pattern. We developed methods of EEG analysis to quantify episodic EEG patterns--namely sleep spindle-like ('10 Hz-score') and burst-suppression-like fluctuations in high frequencies ('high frequency variation index')--and used traditional power spectral quantification of non-episodic delta waves. We studied 30 healthy adult patients undergoing elective surgery under general anaesthesia with propofol, fentanyl (1.0, 2.5 or 4.0 microg/kg, n=10 for each group), muscle relaxant and sevoflurane. Prefrontal EEG data were recorded during the operation and analysed for changes in episodic patterns before and after noxious stimuli (intubation and incision). Before noxious stimuli, the EEG patterns varied markedly between patients and were not strongly correlated to calculated effect-site concentrations of fentanyl, propofol or sevoflurane. Noxious stimuli reduced the 10 Hz-score from 0.25 to 0.20 (P = 0.01) after intubation and from 0.33 to 0.27 (P = 0.01) after incision; and high frequency variation index from 2.8 to 2.0 (P=0.02) after incision--the classical arousal pattern. The nociception-induced reduction in spindles was greater in the low-dose fentanyl group (P = 0.01). There was less tachycardia in the high-dose fentanyl group (P = 0.002). It is possible to quantify such episodic EEG patterns during general anaesthesia and in this study noxious stimulation tended to reduce the prevalence of these patterns.

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Year:  2010        PMID: 20191785     DOI: 10.1177/0310057X1003800118

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  10 in total

1.  The effect of skin incision on the electroencephalogram during general anesthesia maintained with propofol or desflurane.

Authors:  James W Sleigh; Kate Leslie; Logan Voss
Journal:  J Clin Monit Comput       Date:  2010-08-01       Impact factor: 2.502

2.  Characterizing Awake and Anesthetized States Using a Dimensionality Reduction Method.

Authors:  M Mirsadeghi; H Behnam; R Shalbaf; H Jelveh Moghadam
Journal:  J Med Syst       Date:  2015-10-29       Impact factor: 4.460

Review 3.  Unresponsiveness ≠ unconsciousness.

Authors:  Robert D Sanders; Giulio Tononi; Steven Laureys; Jamie W Sleigh
Journal:  Anesthesiology       Date:  2012-04       Impact factor: 7.892

4.  A probabilistic framework for a physiological representation of dynamically evolving sleep state.

Authors:  Vera M Dadok; Heidi E Kirsch; Jamie W Sleigh; Beth A Lopour; Andrew J Szeri
Journal:  J Comput Neurosci       Date:  2013-12-22       Impact factor: 1.621

Review 5.  [Drug-induced sedation endoscopy-quo vadis? : Review and outlook].

Authors:  M Herzog; J T Maurer
Journal:  HNO       Date:  2017-02       Impact factor: 1.284

6.  Electroencephalographic variation during end maintenance and emergence from surgical anesthesia.

Authors:  Divya Chander; Paul S García; Jono N MacColl; Sam Illing; Jamie W Sleigh
Journal:  PLoS One       Date:  2014-09-29       Impact factor: 3.240

7.  Changes in Alpha Frequency and Power of the Electroencephalogram during Volatile-Based General Anesthesia.

Authors:  Darren Hight; Logan J Voss; Paul S Garcia; Jamie Sleigh
Journal:  Front Syst Neurosci       Date:  2017-05-29

8.  [The quantitative EEG in electroencephalogram-based brain monitoring during general anesthesia].

Authors:  H A Kaiser; J Knapp; J Sleigh; M S Avidan; F Stüber; D Hight
Journal:  Anaesthesist       Date:  2021-05-10       Impact factor: 1.041

9.  Variations in Electrocortical Activity due to Surgical Incision in Anaesthetized Cardiac Patients: Electroencephalogram-Based Quantitative Analysis.

Authors:  Manpreet Kaur; Neelam Rup Prakash; Parveen Kalra; Goverdhan Dutt Puri; Tanvir Samra; Manoj Goyal
Journal:  J Healthc Eng       Date:  2020-02-27       Impact factor: 2.682

10.  Low Frontal Alpha Power Is Associated With the Propensity for Burst Suppression: An Electroencephalogram Phenotype for a "Vulnerable Brain".

Authors:  Yu Raymond Shao; Pegah Kahali; Timothy T Houle; Hao Deng; Christopher Colvin; Bradford C Dickerson; Emery N Brown; Patrick L Purdon
Journal:  Anesth Analg       Date:  2020-11       Impact factor: 6.627

  10 in total

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