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Novel features of early burst suppression predict outcome after birth asphyxia

Burst suppression patterns in the electroencephalogram are a reliable marker of recent severe brain insult. Here we analyze statistical properties of bursts occurring in 20 electroencephalographic recordings acquired from hypothermic asphyxic newborns in the hours immediately following birth. We sho...

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Detalles Bibliográficos
Autores principales: Iyer, Kartik K, Roberts, James A, Metsäranta, Marjo, Finnigan, Simon, Breakspear, Michael, Vanhatalo, Sampsa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4184550/
https://www.ncbi.nlm.nih.gov/pubmed/25356399
http://dx.doi.org/10.1002/acn3.32
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author Iyer, Kartik K
Roberts, James A
Metsäranta, Marjo
Finnigan, Simon
Breakspear, Michael
Vanhatalo, Sampsa
author_facet Iyer, Kartik K
Roberts, James A
Metsäranta, Marjo
Finnigan, Simon
Breakspear, Michael
Vanhatalo, Sampsa
author_sort Iyer, Kartik K
collection PubMed
description Burst suppression patterns in the electroencephalogram are a reliable marker of recent severe brain insult. Here we analyze statistical properties of bursts occurring in 20 electroencephalographic recordings acquired from hypothermic asphyxic newborns in the hours immediately following birth. We show that the distributions of burst area and duration in these acute data predict later clinical outcome in both structural neuroimaging and neurodevelopment. Our findings indicate the first early electroencephalographic metrics that offer outcome prediction in asphyxic neonates undergoing hypothermia treatment.
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spelling pubmed-41845502014-10-29 Novel features of early burst suppression predict outcome after birth asphyxia Iyer, Kartik K Roberts, James A Metsäranta, Marjo Finnigan, Simon Breakspear, Michael Vanhatalo, Sampsa Ann Clin Transl Neurol Brief Communication Burst suppression patterns in the electroencephalogram are a reliable marker of recent severe brain insult. Here we analyze statistical properties of bursts occurring in 20 electroencephalographic recordings acquired from hypothermic asphyxic newborns in the hours immediately following birth. We show that the distributions of burst area and duration in these acute data predict later clinical outcome in both structural neuroimaging and neurodevelopment. Our findings indicate the first early electroencephalographic metrics that offer outcome prediction in asphyxic neonates undergoing hypothermia treatment. BlackWell Publishing Ltd 2014-03 2014-02-18 /pmc/articles/PMC4184550/ /pubmed/25356399 http://dx.doi.org/10.1002/acn3.32 Text en © 2014 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Brief Communication
Iyer, Kartik K
Roberts, James A
Metsäranta, Marjo
Finnigan, Simon
Breakspear, Michael
Vanhatalo, Sampsa
Novel features of early burst suppression predict outcome after birth asphyxia
title Novel features of early burst suppression predict outcome after birth asphyxia
title_full Novel features of early burst suppression predict outcome after birth asphyxia
title_fullStr Novel features of early burst suppression predict outcome after birth asphyxia
title_full_unstemmed Novel features of early burst suppression predict outcome after birth asphyxia
title_short Novel features of early burst suppression predict outcome after birth asphyxia
title_sort novel features of early burst suppression predict outcome after birth asphyxia
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4184550/
https://www.ncbi.nlm.nih.gov/pubmed/25356399
http://dx.doi.org/10.1002/acn3.32
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