Literature DB >> 17413907

Behavior of entropy/complexity measures of the electroencephalogram during propofol-induced sedation: dose-dependent effects of remifentanil.

Rain Ferenets1, Ann Vanluchene, Tarmo Lipping, Björn Heyse, Michel M R F Struys.   

Abstract

BACKGROUND: Several new measures based on the regularity of the electroencephalogram signal for the assessment of depth of anesthesia/sedation have been proposed recently. In this study we analyze the influence of remifentanil and electroencephalogram frequency content of the performance of a set of such measures.
METHODS: Forty-five patients with American Society of Anesthesiologists physical status I were randomly allocated to one of three groups according to the received dose of predicted effect compartment-controlled remifentanil (0, 2, and 4 ng/ml). All 45 patients received stepwise increased effect site concentration-controlled dose of propofol. At every step of propofol increase, the Observer's Assessment of Alertness/Sedation score was assessed. The following measures were calculated from the electroencephalographic signal: spectral entropy, approximate entropy, Higuchi fractal dimension, Lempel-Ziv complexity, relative beta ratio, and SyncFastSlow measure.
RESULTS: The behavior of the electroencephalogram-based measures is highly sensitive to the frequency content of the signal and the dose of remifentanil. The prediction probability with respect to the Observer's Assessment of Alertness/Sedation score of the most discriminative measure, the Higuchi fractal dimension, dropped from 0.90 (electroencephalographic frequency band 6-47 Hz, no remifentanil) to 0.55 when the frequency band was changed to 0.5-19 Hz and to 0.83 when remifentanil concentration was increased to 4 ng/ml. The coeffect of remifentanil on electroencephalographic regularity is bimodal depending on the frequency band of the signal.
CONCLUSIONS: Cutting off high frequencies from the electroencephalogram and increased remifentanil concentration deteriorate the performance of the electroencephalogram-based entropy/complexity measures as indicators of the depth of propofol sedation.

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Year:  2007        PMID: 17413907     DOI: 10.1097/01.anes.0000264790.07231.2d

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  20 in total

1.  Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle.

Authors:  Vladimir Miskovic; Kevin J MacDonald; L Jack Rhodes; Kimberly A Cote
Journal:  Hum Brain Mapp       Date:  2018-09-26       Impact factor: 5.038

2.  Assessing nitrous oxide effect using electroencephalographically-based depth of anesthesia measures cortical state and cortical input.

Authors:  Levin Kuhlmann; David T J Liley
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Journal:  Hum Brain Mapp       Date:  2018-04-20       Impact factor: 5.038

4.  Diversity of functional connectivity patterns is reduced in propofol-induced unconsciousness.

Authors:  Heonsoo Lee; Gyu-Jeong Noh; Pangyu Joo; Byung-Moon Choi; Brian Henry Silverstein; Minkyung Kim; Jisung Wang; Woo-Sung Jung; Seunghwan Kim
Journal:  Hum Brain Mapp       Date:  2017-07-03       Impact factor: 5.038

5.  Spectral entropy as a monitor of depth of propofol induced sedation.

Authors:  Padraig Mahon; Robert G Kowalski; Anthony P Fitzgerald; Elaine M Lynch; Geraldine B Boylan; Brian McNamara; George D Shorten
Journal:  J Clin Monit Comput       Date:  2008-02-06       Impact factor: 2.502

6.  Gradual emergence of spontaneous correlated brain activity during fading of general anesthesia in rats: Evidences from fMRI and local field potentials.

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Journal:  Neuroimage       Date:  2015-03-21       Impact factor: 6.556

7.  Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

Authors:  George J A Jiang; Shou-Zen Fan; Maysam F Abbod; Hui-Hsun Huang; Jheng-Yan Lan; Feng-Fang Tsai; Hung-Chi Chang; Yea-Wen Yang; Fu-Lan Chuang; Yi-Fang Chiu; Kuo-Kuang Jen; Jeng-Fu Wu; Jiann-Shing Shieh
Journal:  Biomed Res Int       Date:  2015-02-08       Impact factor: 3.411

8.  Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High Frequencies.

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Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

9.  Complexity of Multi-Dimensional Spontaneous EEG Decreases during Propofol Induced General Anaesthesia.

Authors:  Michael Schartner; Anil Seth; Quentin Noirhomme; Melanie Boly; Marie-Aurelie Bruno; Steven Laureys; Adam Barrett
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

10.  Sample entropy reveals high discriminative power between young and elderly adults in short fMRI data sets.

Authors:  Moses O Sokunbi
Journal:  Front Neuroinform       Date:  2014-07-23       Impact factor: 4.081

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