Phenobarbital reduces EEG amplitude and propagation of neonatal seizures but does not alter performance of automated seizure detection


Autoria(s): Mathieson, Sean R.; Livingstone, Vicki; Low, Evonne; Pressler, Ronit; Rennie, Janet M.; Boylan, Geraldine B.
Data(s)

24/10/2016

24/10/2016

25/07/2016

Resumo

Objective: Phenobarbital increases electroclinical uncoupling and our preliminary observations suggest it may also affect electrographic seizure morphology. This may alter the performance of a novel seizure detection algorithm (SDA) developed by our group. The objectives of this study were to compare the morphology of seizures before and after phenobarbital administration in neonates and to determine the effect of any changes on automated seizure detection rates. Methods: The EEGs of 18 term neonates with seizures both pre- and post-phenobarbital (524 seizures) administration were studied. Ten features of seizures were manually quantified and summary measures for each neonate were statistically compared between pre- and post-phenobarbital seizures. SDA seizure detection rates were also compared. Results: Post-phenobarbital seizures showed significantly lower amplitude (p < 0.001) and involved fewer EEG channels at the peak of seizure (p < 0.05). No other features or SDA detection rates showed a statistical difference. Conclusion: These findings show that phenobarbital reduces both the amplitude and propagation of seizures which may help to explain electroclinical uncoupling of seizures. The seizure detection rate of the algorithm was unaffected by these changes. Significance: The results suggest that users should not need to adjust the SDA sensitivity threshold after phenobarbital administration.

Formato

application/pdf

Identificador

Mathieson, S. R., Livingstone, V., Low, E., Pressler, R., Rennie, J. M. and Boylan, G. B. (2016) ‘Phenobarbital reduces EEG amplitude and propagation of neonatal seizures but does not alter performance of automated seizure detection,’ Clinical Neurophysiology, 127(10), pp. 3343-3350. doi: 10.1016/j.clinph.2016.07.007

127

10

3343

3350

1388-2457

1872-8952

http://hdl.handle.net/10468/3210

10.1016/j.clinph.2016.07.007

Clinical Neurophysiology

Idioma(s)

en

Publicador

Elsevier

Direitos

© 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

http://creativecommons.org/licenses/by/4.0/

Palavras-Chave #Automated seizure detection #Electroclinical uncoupling #Neonatal seizures
Tipo

Article (peer-reviewed)