Quantification of epileptiform electroencephalographic activity during sevoflurane mask induction

M. O. K. Särkelä, Miikka Ermes, Mark van Gils, A. M. Yli-Hankala, V. H. Jäntti, A. P. Vakkuri

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

BACKGROUND: Sevoflurane may induce epileptiform electroencephalographic activity leading to unstable Bispectral Index numbers, underestimating the hypnotic depth of anesthesia. The authors developed a method for the quantification of epileptiform electroencephalographic activity during sevoflurane anesthesia. METHODS: Electroencephalographic data from 60 patients under sevoflurane mask induction were used in the analysis. Electroencephalographic data were visually classified. A novel electroencephalogram-derived quantity, wavelet subband entropy (WSE), was developed. WSE variables were calculated from different frequency bands. Performance of the WSE in detection and quantification of epileptiform electroencephalographic activity and the ability of the WSE to recognize misleading Bispectral Index readings caused by epileptiform activity were evaluated. RESULTS: Two WSE variables were found to be sufficient for the quantification of epileptiform activity: WSE from the frequency bands 4-16 and 16-32 Hz. The lower frequency band was used for monophasic pattern monitoring, and the higher frequency band was used for spike activity monitoring. WSE values of the lower and higher bands followed the time evolution of epileptiform activity with prediction probabilities of 0.809 (SE, 0.007) and 0.804 (SE, 0.007), respectively. In deep anesthesia with epileptiform activity, WSE detected electroencephalographic patterns causing Bispectral Index readings greater than 60, with event sensitivity of 97.1%. CONCLUSIONS: The developed method proved useful in detection and quantification of epileptiform electroencephalographic activity during sevoflurane anesthesia. In the future, it may improve the understanding of electroencephalogram-derived information by assisting in recognizing misleading readings of depth-of-anesthesia monitors. The method also may assist in minimizing the occurrence of epileptiform activity and seizures during sevoflurane anesthesia.
Original languageEnglish
Pages (from-to)928-938
JournalAnesthesiology
Volume107
Issue number6
DOIs
Publication statusPublished - 2007
MoE publication typeA1 Journal article-refereed

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Entropy
Masks
Anesthesia
Reading
Electroencephalography
sevoflurane
Hypnotics and Sedatives
Seizures

Keywords

  • sevoflurane
  • anesthesia
  • epileptiform electroencephalographic activity
  • electroencephalography

Cite this

Särkelä, M. O. K. ; Ermes, Miikka ; van Gils, Mark ; Yli-Hankala, A. M. ; Jäntti, V. H. ; Vakkuri, A. P. / Quantification of epileptiform electroencephalographic activity during sevoflurane mask induction. In: Anesthesiology. 2007 ; Vol. 107, No. 6. pp. 928-938.
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abstract = "BACKGROUND: Sevoflurane may induce epileptiform electroencephalographic activity leading to unstable Bispectral Index numbers, underestimating the hypnotic depth of anesthesia. The authors developed a method for the quantification of epileptiform electroencephalographic activity during sevoflurane anesthesia. METHODS: Electroencephalographic data from 60 patients under sevoflurane mask induction were used in the analysis. Electroencephalographic data were visually classified. A novel electroencephalogram-derived quantity, wavelet subband entropy (WSE), was developed. WSE variables were calculated from different frequency bands. Performance of the WSE in detection and quantification of epileptiform electroencephalographic activity and the ability of the WSE to recognize misleading Bispectral Index readings caused by epileptiform activity were evaluated. RESULTS: Two WSE variables were found to be sufficient for the quantification of epileptiform activity: WSE from the frequency bands 4-16 and 16-32 Hz. The lower frequency band was used for monophasic pattern monitoring, and the higher frequency band was used for spike activity monitoring. WSE values of the lower and higher bands followed the time evolution of epileptiform activity with prediction probabilities of 0.809 (SE, 0.007) and 0.804 (SE, 0.007), respectively. In deep anesthesia with epileptiform activity, WSE detected electroencephalographic patterns causing Bispectral Index readings greater than 60, with event sensitivity of 97.1{\%}. CONCLUSIONS: The developed method proved useful in detection and quantification of epileptiform electroencephalographic activity during sevoflurane anesthesia. In the future, it may improve the understanding of electroencephalogram-derived information by assisting in recognizing misleading readings of depth-of-anesthesia monitors. The method also may assist in minimizing the occurrence of epileptiform activity and seizures during sevoflurane anesthesia.",
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Quantification of epileptiform electroencephalographic activity during sevoflurane mask induction. / Särkelä, M. O. K.; Ermes, Miikka; van Gils, Mark; Yli-Hankala, A. M.; Jäntti, V. H.; Vakkuri, A. P.

In: Anesthesiology, Vol. 107, No. 6, 2007, p. 928-938.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Ermes, Miikka

AU - van Gils, Mark

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AU - Jäntti, V. H.

AU - Vakkuri, A. P.

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KW - sevoflurane

KW - anesthesia

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KW - electroencephalography

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