Early Brain Activity Relates to Subsequent Brain Growth in Premature Infants

Benders, Manon J. N. L.; Palmu, Kirsi; Menache, Caroline C.; Borradori-Tolsa, Cristina; Lazeyras, François; Sizonenko, Stéphane; Dubois, Jessica; Vanhatalo, Sampsa; Hüppi, Petra Susan

doi:10.1093/cercor/bhu097

Cited by 120 publications

(100 citation statements)

References 87 publications

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“…Despite these limitations, a relationship to later outcomes has been established (Hellström-Westas and Rosén 2005;Olischar et al 2004;Sisman et al 2005;Wikström et al 2012). These findings are compatible with the proposal that the total amount of brain activity is important for early brain health (see also (Benders et al 2014). …”

Section: Early Prediction Of Long-term Neurodevelopmentsupporting

confidence: 82%

“…movement, respiration spikes, and amplifier noise). Recent studies have shown that more conventional quantification of burst occurrence (Benders et al 2014) and the presence of vigilance state cycling (a.k.a. sleep wake cycling; SWC) (Stevenson et al 2014) may inform brain health.…”

Section: Methodological Considerations and Future Directionsmentioning

confidence: 99%

“…Recent analytic approaches to neurophysiological signals have focused on temporal dynamics of cortical bursts, characterizing features of bursting content to assess underlying brain states as opposed to conventional interburst interval analysis (Lewis et al 2013;Westover et al 2015;Vanhatalo and Kaila 2006;Benders et al 2014). The characterization of bursts in hypoxia, induced burst suppression or preterm trace alternant activity may yield important insights into how neuronal constraints, e.g.…”

Section: Hypothesis Development From the Literaturementioning

confidence: 99%

“…These events are thought to be the key functional driver of neuronal development where the deprivation of neurons leads to apoptotic cell death in experimental models (Kilb et al 2011;Nimmervoll et al 2013), while the overall level of bursting activity relates to prospective structural growth in the human preterm babies (Benders et al 2014). Moreover, disruption of these events leads to disorganized thalamo-cortical connectivity and neuronal death (Catalano and Shatz 1998;Tolner et al 2012).…”

Section: Neurobiological Underpinnings Of Early Scale-free Behaviormentioning

confidence: 99%

“…Background activity from aEEG/EEG in the first 72 hours has predictive value but requires expert selection of epochs to distinguish artifacts from abnormal cortical activity (Wikström et al 2012). Recent quantitative analyses of cortical bursting (Palmu et al 2010;Stevenson et al 2014) in preterm EEG carries potential for objective, real-time prognostication (Benders et al 2014;Wikström et al 2012). …”

Section: Introductionmentioning

confidence: 99%

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

Iyer¹

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Section: Early Prediction Of Long-term Neurodevelopmentsupporting

confidence: 82%

Section: Methodological Considerations and Future Directionsmentioning

confidence: 99%

Section: Hypothesis Development From the Literaturementioning

confidence: 99%

Section: Neurobiological Underpinnings Of Early Scale-free Behaviormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Iyer¹

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Interplay of brain structure and function in neonatal congenital heart disease

Birca

Vakorin

Porayette

et al. 2016

Ann Clin Transl Neurol

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ObjectiveTo evaluate whether structural and microstructural brain abnormalities in neonates with congenital heart disease (CHD) correlate with neuronal network dysfunction measured by analysis of EEG connectivity.MethodsWe studied a prospective cohort of 20 neonates with CHD who underwent continuous EEG monitoring before surgery to assess functional brain maturation and network connectivity, structural magnetic resonance imaging (MRI) to determine the presence of brain injury and structural brain development, and diffusion tensor MRI to assess brain microstructural development.ResultsNeonates with MRI brain injury and delayed structural and microstructural brain development demonstrated significantly stronger high‐frequency (beta and gamma frequency band) connectivity. Furthermore, neonates with delayed microstructural brain development demonstrated significantly weaker low‐frequency (delta, theta, alpha frequency band) connectivity. Neonates with brain injury also displayed delayed functional maturation of EEG background activity, characterized by greater background discontinuity.InterpretationThese data provide new evidence that early structural and microstructural developmental brain abnormalities can have immediate functional consequences that manifest as characteristic alterations of neuronal network connectivity. Such early perturbations of developing neuronal networks, if sustained, may be responsible for the persistent neurocognitive impairment prevalent in adolescent survivors of CHD. These foundational insights into the complex interplay between evolving brain structure and function may have relevance for a wide spectrum of neurological disorders manifesting early developmental brain injury.

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Automated cot‐side tracking of functional brain age in preterm infants

Stevenson

Oberdorfer

Tataranno

et al. 2020

Ann Clin Transl Neurol

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ObjectiveA major challenge in the care of preterm infants is the early identification of compromised neurological development. While several measures are routinely used to track anatomical growth, there is a striking lack of reliable and objective tools for tracking maturation of early brain function; a cornerstone of lifelong neurological health. We present a cot‐side method for measuring the functional maturity of the newborn brain based on routinely available neurological monitoring with electroencephalography (EEG).MethodsWe used a dataset of 177 EEG recordings from 65 preterm infants to train a multivariable prediction of functional brain age (FBA) from EEG. The FBA was validated on an independent set of 99 EEG recordings from 42 preterm infants. The difference between FBA and postmenstrual age (PMA) was evaluated as a predictor for neurodevelopmental outcome.ResultsThe FBA correlated strongly with the PMA of an infant, with a median prediction error of less than 1 week. Moreover, individual babies follow well‐defined individual trajectories. The accuracy of the FBA applied to the validation set was statistically equivalent to the training set accuracy. In a subgroup of infants with repeated EEG recordings, a persistently negative predicted age difference was associated with poor neurodevelopmental outcome.InterpretationThe FBA enables the tracking of functional neurodevelopment in preterm infants. This establishes proof of principle for growth charts for brain function, a new tool to assist clinical management and identify infants who will benefit most from early intervention.

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Early Brain Activity Relates to Subsequent Brain Growth in Premature Infants

Cited by 120 publications

References 87 publications

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

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

Interplay of brain structure and function in neonatal congenital heart disease

Automated cot‐side tracking of functional brain age in preterm infants

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