Newborns’ sleep-wake cycle development on amplitude integrated electroencephalography

Li, Xu-Fang; Zhou, Yanxia; Lian, Zhang

doi:10.1007/s12519-016-0026-x

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…Amplitude‐integrated electroencephalography (aEEG) is a safe and generally well‐accepted neurophysiologic monitoring applied in preterm and term infants in neonatal intensive care units (NICUs), and the increasing numbers of newborns with associated risks of neurological disorders and the availability of new therapeutic strategies – such as trials of neuroprotection with hypothermia and antiepileptic drugs – suggest a growing need for aEEG. The interpretation of an aEEG tracing includes three categories – the classification of the background pattern, the identification of sleep–wake cycling (SWC), and the identification of seizures – all of which depend upon the infant's gestational age and different pathophysiological conditions . Previous studies reported that continuous extremely low voltage, flat tracing, or burst suppression of aEEG background patterns is correlated with unfavorable neurological outcomes in asphyxiated neonates, and recurrent seizures and status epilepticus have been shown to be indicators of poor neurodevelopmental outcomes, while fully developed SWC has been shown to be a good prognostic indicator .…”

Section: Introductionmentioning

confidence: 99%

Prognostic value of amplitude‐integrated EEG in neonates with high risk of neurological sequelae

Xiao

Kang

Shi

et al. 2020

Ann Clin Transl Neurol

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Objective To determine the efficacy and the prognostic value of amplitude‐integrated electroencephalography (aEEG) in term and near‐term neonates with high risk of neurological sequelae. Methods Infants of ≥35 weeks of gestation diagnosed with neonatal encephalopathy or with high risk of brain injury were included. All eligible infants underwent aEEG within 6 h after clinical assessment. The infants were followed up 12 months to evaluate neurological development. Results A total of 250 infants were eligible, of which 85 had normal aEEG, 81 had mildly abnormal aEEG, and 84 had severely abnormal aEEG. Of these infants, 168 were diagnosed with different neonatal encephalopathies, 27 with congenital or metabolic diseases, and 55 with high risk of brain injury. In all, 22 infants died, 19 were lost to follow‐up, and 209 completed the follow‐up at 12 months, of which 62 were diagnosed with a neurological disability. Statistical analysis showed that severely abnormal aEEG predicted adverse neurological outcome with a sensitivity of 70.2%, a specificity of 87.1%, a positive predictive value of 75.6%, and a negative predictive value of 83.7%. Interpretation aEEG can predict adverse outcomes in high‐risk neonates and is a useful method for monitoring neonates with high risk of adverse neurological outcomes.

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Section: Introductionmentioning

confidence: 99%

Prognostic value of amplitude‐integrated EEG in neonates with high risk of neurological sequelae

Xiao

Kang

Shi

et al. 2020

Ann Clin Transl Neurol

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“…The aEEG scoring system described by Burdjalov et al [18] indicates progressive cerebral maturity, and the amount of continuous activity positively correlates with increasing postmenstrual age [21,22]. The establishment of sleep-wake cycles indicates a fundamental development of the central nervous system from immature to mature [23]. The failure to develop sleepwake cycles in preterm infants correlates with the severity of brain lesions [21,24], and in term infants suffering from hypoxic-ischemic encephalopathy, the presence of sleep-wake cycles after birth even predicts good neurodevelopmental outcome until early childhood [25].…”

Section: Discussionmentioning

confidence: 99%

Early Brain Activity in Very Preterm Infants of Mothers with Gestational Diabetes Mellitus: A Pilot Study

Sappler,

Neubauer,

Posod

et al. 2024

Neonatology

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Introduction: Neurological consequences of preterm infants born to mothers with gestational diabetes mellitus (GDM) are unclear. In this pilot study, we investigated the effect of GDM on brain activity in very preterm infants. Methods: Preterm infants <32 gestational weeks of mothers with GDM compared to gestational age- and sex-matched controls born between 2011 and 2018 were included. Amplitude-integrated electroencephalography (aEEG) was assessed for total maturation and individual component scores according to Burdjalov and colleagues, the dominating visual background, and the presence of sleep-wake cycles per hour in the first 72 h of life and weekly at days 7, 14, 21, and 28. Results: We included 47 infants of mothers with GDM and 94 control infants. Both the aEEG total maturation score and its individual component scores, as well as the percentage of continuous background pattern, increased equally during the first 4 weeks after birth in both groups. GDM-exposed infants showed a slightly but significantly higher number of sleep-wake cycles per hour. Conclusion: We found normal maturation of brain activity in the first 4 weeks after birth in very preterm infants born to mothers with GDM, not differing from a very preterm control group. The higher number of sleep-wake cycles per hour in GDM-exposed infants could indicate transiently enhanced maturation. Further studies on brain activity and brain development in very preterm infants of mothers with GDM are needed to validate our results.

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“…Continuous long-term EEG monitoring is a feasible method to monitor SWC in intensive care units, particularly when using amplitude integrated EEG (aEEG) (78,(160)(161)(162)(163). SWC patterns in aEEG trends can be recognized from just a single EEG channel when clearly expressed in a term age infant.…”

Section: Techniques To Detect and Classify Infant Sleep Statesmentioning

confidence: 99%

Early development of sleep and brain functional connectivity in term-born and preterm infants

2021

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Impact:1. Sleep in early life is essential for proper functional brain development, which is essential for the brain to integrate and process information. This process may be impaired in infants born preterm.2. The connection between preterm birth, early development of brain functional connectivity, and sleep is poorly understood. 3 3. This review discusses how sleep and brain functional connectivity develop in early life, how these processes might become impaired, and the challenges associated with understanding these processes. Potential solutions to these challenges are presented to provide direction for future research.

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Newborns’ sleep-wake cycle development on amplitude integrated electroencephalography

Cited by 8 publications

References 20 publications

Prognostic value of amplitude‐integrated EEG in neonates with high risk of neurological sequelae

Prognostic value of amplitude‐integrated EEG in neonates with high risk of neurological sequelae

Early Brain Activity in Very Preterm Infants of Mothers with Gestational Diabetes Mellitus: A Pilot Study

Early development of sleep and brain functional connectivity in term-born and preterm infants

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