scholarly journals Burst-suppression ratio underestimates absolute duration of electroencephalogram suppression compared with visual analysis of intraoperative electroencephalogram

2017 ◽  
Vol 118 (5) ◽  
pp. 755-761 ◽  
Author(s):  
W.G. Muhlhofer ◽  
R. Zak ◽  
T. Kamal ◽  
B. Rizvi ◽  
L.P. Sands ◽  
...  
2016 ◽  
Vol 33 (2) ◽  
pp. 127-132 ◽  
Author(s):  
Mihai Moldovan ◽  
Alexandru Calin ◽  
Vishakhadatta M. Kumaraswamy ◽  
Diana Braver ◽  
Mirela V. Simon

2006 ◽  
Vol 103 (6) ◽  
pp. 1609-1610 ◽  
Author(s):  
Ngai Liu ◽  
Thierry Chazot ◽  
Catherine Mutter ◽  
Marc Fischler

2020 ◽  
Vol 12 (1) ◽  
pp. 9-25
Author(s):  
A. G. Koshchavtsev ◽  
S. V. Grechanyi

Aim: Based on published reports and our own observations, we aimed to assign the graphical elements of EEG into normal and abnormal groups and then identify up to five main graphic elements in each group to facilitate visual analysis and interpretation of EEG in young children.Materials and methods. We searched for the relevant sources in the Medline and Medscape databases using the following keywords: «neonatal EEG», «neonatal seizures», «theta burst», «delta brushes», «trace discontinue», «burst-suppression», hypsarrhythmia», etc. Our own research was conducted using an Encephalan-EEGR-19/26 encephalograph equipped with children size gold cup electrodes with a diameter of 0.6 cm. Encephalograms were recorded from 10 electrodes according to the international “10-20” system.Results and discussion. In early childhood EEGs, two large groups of EEG graphic elements can be discerned: the likely normative graphic elements and patterns of pediatric EEG (normal patterns) and the likely non-normative (abnormal) graphic elements and patterns of pediatric EEG. In the likely normative group, the main features are represented by: theta bursts, delta brushes, the “intermittent EEG curve” pattern, the occipital theta rhythm, and slow-sleep waves. In the likely non-normative group, those are: paroxysmal EEG graphic elements, asynchronous EEG patterns, spike-wave discharges, 3 Hz peak waves, hypsarrhythmia, burst-suppression pattern, rolandic occipital spikes, and a slowing rhythm pattern.Conclusion. Along with the numerous attempts to characterize the age-dependent graphic elements at an early age, there are few reports concerning older children and adults. Here we try to overcome this discrepancy by identifying two large groups of graphic elements in EEG that are similar between infants and children of an older age. Such an approach may contribute to a better understanding of normal and pathological ontogenesis.


2006 ◽  
Vol 23 (5) ◽  
pp. 391-402 ◽  
Author(s):  
P. L. C. van den Broek ◽  
C. M. van Rijn ◽  
J. van Egmond ◽  
A. M. L. Coenen ◽  
L. H. D. J. Booij

2003 ◽  
Vol 90 (2) ◽  
pp. 122-126 ◽  
Author(s):  
K. Yoshitani ◽  
M. Kawaguchi ◽  
M. Takahashi ◽  
K. Kitaguchi ◽  
H. Furuya

2000 ◽  
Vol 93 (4) ◽  
pp. 981-985 ◽  
Author(s):  
Jörgen Bruhn ◽  
Heiko Röpcke ◽  
Benno Rehberg ◽  
Thomas Bouillon ◽  
Andreas Hoeft

Background Approximate entropy, a measure of signal complexity and regularity, quantifies electroencephalogram changes during anesthesia. With increasing doses of anesthetics, burst-suppression patterns occur. Because of the high-frequency bursts, spectrally based parameters such as median electroencephalogram frequency and spectral edge frequency 95 do not decrease, incorrectly suggesting lightening of anesthesia. The authors investigated whether the approximate entropy algorithm correctly classifies the occurrence of burst suppression as deepening of anesthesia. Methods Eleven female patients scheduled for elective major surgery were studied. After propofol induction, anesthesia was maintained with isoflurane only. Before surgery, the end-tidal isoflurane concentration was varied between 0.6 and 1.3 minimum alveolar concentration. The raw electroencephalogram was continuously recorded and sampled at 128 Hz. Approximate entropy, electroencephalogram median frequency, spectral edge frequency 95, burst-suppression ratio, and burst-compensated spectral edge frequency 95 were calculated offline from 8-s epochs. The relation between burst-suppression ratio and approximate entropy, electroencephalogram median frequency, spectral edge frequency 95, and burst-compensated spectral edge frequency 95 was analyzed using Pearson correlation coefficient. Results Higher isoflurane concentrations were associated with higher burst-suppression ratios. Electroencephalogram median frequency (r = 0.34) and spectral edge frequency 95 (r = 0.29) increased, approximate entropy (r = -0.94) and burst-compensated spectral edge frequency 95 (r = -0.88) decreased with increasing burst-suppression ratio. Conclusion Electroencephalogram approximate entropy, but not electroencephalogram median frequency or spectral edge frequency 95 without burst compensation, correctly classifies the occurrence of burst-suppression pattern as increasing anesthetic drug effect.


2002 ◽  
Vol 96 (Sup 2) ◽  
pp. A539
Author(s):  
Oliver Dressler ◽  
Gerhard Schneider ◽  
Karl Naguib ◽  
Gudrun Stockmanns ◽  
Eberhard F. Kochs

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