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

Mathieson, SR; Livingstone, V; Low, E; Pressler, R; Rennie, JM; Boylan, GB; (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. 10.1016/j.clinph.2016.07.007. Green open access

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Abstract

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.

Type: Article
Title: Phenobarbital reduces EEG amplitude and propagation of neonatal seizures but does not alter performance of automated seizure detection
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.clinph.2016.07.007
Publisher version: http://dx.doi.org/10.1016/j.clinph.2016.07.007
Language: English
Additional information: ©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/.
Keywords: Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences, Neurosciences & Neurology, Electroclinical uncoupling, Neonatal seizures, Automated seizure detection, HYPOXIC-ISCHEMIC ENCEPHALOPATHY, DETECTION ALGORITHM, ELECTROENCEPHALOGRAPHY, MECHANISM, SYSTEM
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Neurosciences Dept
URI: https://discovery.ucl.ac.uk/id/eprint/1529858
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