Neonatal burst suppression: Its developmental significance

Grigg-Damberger, Madeleine; Coker, Steven B.; Halsey, Carey L.; Anderson, Craig L.

doi:10.1016/0887-8994(89)90032-5

Cited by 71 publications

(40 citation statements)

References 25 publications

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“…To establish a predictive value for BS pattern some investigators emphasize the importance of the amplitude of the electrical activity between the bursts 15,21 , whereas others emphasize the duration of the interburst interval as the main criterion 19,22 . Menache and coll.…”

Section: Discussionmentioning

confidence: 99%

“…There are consistent background EEG abnormalities that are usually associated to unfavorable outcome as low voltage and burst -suppression pattern (BS) [15][16][17][18][19][20][21] . BS, an abnormal EEG pattern, included among the broad spectrum of discontinuity in neonatal EEG, is termed reactive when it can be interrupted by stimulation 22,23 and non reactive in the contrary, this last pattern has been traditionally associated with unfavorable outcome 15,21,24,25 . BS pattern is also the hallmark of two specific epileptic neonatal syndromes, early myoclonic encephalopathy and early infantile epileptic encephalopathy 26,27 .…”

Section: Prognostic Value Of Non-reactive Burst Suppression Eeg Pattementioning

confidence: 99%

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Prognostic value of non-reactive burst suppression EEG pattern associated to early neonatal seizures

Nunes

Giraldes

Pinho

et al. 2005

Arq. Neuro-Psiquiatr.

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-Seizures are the most frequent neurological event in newborns and clinical data suggest that etiology is the dominant factor in long term outcome. However, there are consistent background EEG abnormalities associated to neonatal seizures that are usually related to unfavorable outcome as the burst -suppression pattern. Objective: The objective of this study was to correlate clinical and EEG features associated to long -term outcome of newborns with non -reactive burst -suppression (BS) EEG. Method: Newborns included in the study were selected from our database and had conceptional age (at the time of first EEG) >37 weeks, EEG recordings with non -reactive BS available for review and clinical follow up. Results: 12 newborns met inclusion criteria, 50% had seizures in the first day of life. Seizures became refractory to treatment in all of them. In 50% the etiology of seizures was considered cryptogenic, 33% had inborn errors of metabolism and 17% had clinical history and neuroimage suggestive of hypoxic-ischemic encephalopathy. The follow-up showed that 7/12 infants deceased, 3 during the first year of life, and one in the neonatal period. All the survivors had severe developmental delay and multifocal neurological impairment. 92% developed refractory epilepsy, 58% were latter diagnosed with West syndrome. Conclusion: The non-reactive BS pattern may appear related to many neonatal neurological disorders and is associated with early and refractory neonatal seizures. It is clearly associated with elevated morbidity and mortality and to the development of post-neonatal epilepsy.KEY WORDS: neonatal EEG, neonatal seizures, burst-suppression pattern, neonatal epileptic syndromes.Valor prognóstico do EEG com padrão de surto-supressão não reativo associado a convulsões neonatais precoces RESUMO -Convulsões representam o evento neurológico mais freqüente no período neonatal e a etiologia das crises parece ser o aspecto clínico mais associado ao prognóstico a longo prazo. Entretanto, existem padrões anormais de EEG, que de forma consistente relacionam-se a prognóstico, entre eles o padrão de surto -supressão. Objetivo: Este estudo teve como objetivo correlacionar aspectos clínicos e eletroencefalográficos associados a prognóstico em longo prazo de recém -nascidos (RN) com padrão de surto -supressão não reativo no EEG. Método: Foram selecionados para este estudo RN com EEG neonatal realizado no Laboratório de Neurofisiologia Clínica do Hospital São Lucas da PUCRS e acompanhados na mesma instituição, com idade concepcional superior a 37 semanas (na data do EEG), cujos registros estivessem disponíveis para revisão. Resultados: Foram incluídos 12 RN, 50% apresentaram crises convulsivas a partir do primeiro dia de vida. Em todos as convulsões eram refratárias ao tratamento medicamentoso. Em 50% a etiologia foi considerada criptogênica, 33% apresentavam erros inatos do metabolismo e 17% tinham história clíni-ca e achados de neuroimagem sugestivos de encefalopatia hipóxico -isquêmica. O seguimento clínico demonstrou que...

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Section: Discussionmentioning

confidence: 99%

Section: Prognostic Value Of Non-reactive Burst Suppression Eeg Pattementioning

confidence: 99%

Prognostic value of non-reactive burst suppression EEG pattern associated to early neonatal seizures

Nunes

Giraldes

Pinho

et al. 2005

Arq. Neuro-Psiquiatr.

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“…To define burst pattern: ≥ 25 was used by [15,74,75] . > 45 was used by [79,80], > 50 by [86], 75 − 250 by [87] 100 − 1000 by [88]. Unlike the voltage amplitude variation for defining bust suppression, in the frequency domain, most of the studies agreed that burst activity is dominant in the delta and theta bands.…”

Section: Issues Relating To the Definitions Of Abnormal Patternsmentioning

confidence: 96%

Design and optimisation of time-frequency analysis for multichannel neonatal EEG background features in term neonates with hypoxic ischaemic encephalopathy: characterisation, classification and neurodevelopmental outcome prediction

Awal¹

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Neonatal Hypoxic Ischaemic Encephalopathy (HIE) is a major cause of morbidity and mortality in newborns throughout the world with an incidence of 1-8/1000 newborns in developed countries and up to 26/1000 newborns in developing countries. It causes one million neonatal deaths globally per year. Electroencephalography (EEG) is a useful method for assessment of brain activity in newborns with HIE. EEG performs well in the early diagnosis and classification of HIE severity and in predicting neurodevelopmental outcome. A normal EEG is highly predictive of a normal outcome and various abnormal EEG features are associated with neurological abnormalities or death.A systematic review and meta-analysis of the literature was undertaken to determine which specific background features of the EEG best predict outcome (Aim 1). Automatic detection and classification

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“…For example, in hypoxic-ischemic injury, the potential failure of synaptic transmission due to poor metabolism in the brain causes normally fast rhythmic continuous electrical activity to reduce in amplitude, which is subsequently followed by an increase in erratic mixed wave patterns (van Putten and van Putten 2010). These patterns on an EEG are known as burst suppression and are commonly associated with poor developmental prognosis in neonates (Grigg-Damberger et al 1989).…”

Section: Continuous Electroencephalography Monitoring Of Neonatesmentioning

confidence: 99%

“…As a result, its use has improved clinical prediction and treatment of at-risk neonates (André et al 2010;Lamblin et al 1999). The prognostic value of an EEG measurement for neonates is reportedly its sensitivity for assessing brain damage (Grigg-Damberger et al 1989;van Rooij et al 2005;Watanabe et al 1999). For example, in hypoxic-ischemic injury, the potential failure of synaptic transmission due to poor metabolism in the brain causes normally fast rhythmic continuous electrical activity to reduce in amplitude, which is subsequently followed by an increase in erratic mixed wave patterns (van Putten and van Putten 2010).…”

Section: Continuous Electroencephalography Monitoring Of Neonatesmentioning

confidence: 99%

Novel methods for predicting clinical outcome in neonates from clinical electroencephalography recordings

Iyer¹

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Neonatal burst suppression: Its developmental significance

Cited by 71 publications

References 25 publications

Prognostic value of non-reactive burst suppression EEG pattern associated to early neonatal seizures

Prognostic value of non-reactive burst suppression EEG pattern associated to early neonatal seizures

Design and optimisation of time-frequency analysis for multichannel neonatal EEG background features in term neonates with hypoxic ischaemic encephalopathy: characterisation, classification and neurodevelopmental outcome prediction

Novel methods for predicting clinical outcome in neonates from clinical electroencephalography recordings

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