Review of sleep-EEG in preterm and term neonates

A Dereymaeker, K Pillay, J Vervisch, M De Vos… - Early human …, 2017 - Elsevier
Neonatal sleep is a crucial state that involves endogenous driven brain activity, important for
neuronal survival and guidance of brain networks. Sequential EEG-sleep analysis in …

Quantitative preterm EEG analysis: the need for caution in using modern data science techniques

JM O'Toole, GB Boylan - Frontiers in pediatrics, 2019 - frontiersin.org
Hemodynamic changes during neonatal transition increase the vulnerability of the preterm
brain to injury. Real-time monitoring of brain function during this period would help identify …

Bursting with potential: How sensorimotor beta bursts develop from infancy to adulthood

H Rayson, MJ Szul, P El-Khoueiry… - Journal of …, 2023 - Soc Neuroscience
Beta activity is thought to play a critical role in sensorimotor processes. However, little is
known about how activity in this frequency band develops. Here, we investigated the …

Automated classification of neonatal sleep states using EEG

N Koolen, L Oberdorfer, Z Rona, V Giordano… - Clinical …, 2017 - Elsevier
Objective To develop a method for automated neonatal sleep state classification based on
EEG that can be applied over a wide range of age. Methods We collected 231 EEG …

[HTML][HTML] Detection and analysis of cortical beta bursts in developmental EEG data

H Rayson, R Debnath, S Alavizadeh, N Fox… - Developmental cognitive …, 2022 - Elsevier
Developmental EEG research often involves analyzing signals within various frequency
bands, based on the assumption that these signals represent oscillatory neural activity …

[HTML][HTML] Comparative utility of MRI and EEG for early detection of cortical dysmaturation after postnatal systemic inflammation in the neonatal rat

P White, S Ranasinghe, J Chen, Y Van de Looij… - Brain, behavior, and …, 2024 - Elsevier
Background Exposure to postnatal systemic inflammation is associated with increased risk
of brain injury in preterm infants, leading to impaired maturation of the cerebral cortex and …

Complexity analysis of neonatal EEG using multiscale entropy: applications in brain maturation and sleep stage classification

O De Wel, M Lavanga, A Caicedo Dorado, K Jansen… - Entropy, 2017 - mdpi.com
Automated analysis of the electroencephalographic (EEG) data for the brain monitoring of
preterm infants has gained attention in the last decades. In this study, we analyze the …

Expert-novice differences in SMR activity during dart throwing

MY Cheng, CL Hung, CJ Huang, YK Chang, LC Lo… - Biological …, 2015 - Elsevier
Previous evidence suggests that augmented sensorimotor rhythm (SMR) activity is related to
the superior regulation of processing cognitive-motor information in motor performance …

Estimating functional brain maturity in very and extremely preterm neonates using automated analysis of the electroencephalogram

JM O'Toole, GB Boylan, S Vanhatalo… - Clinical …, 2016 - Elsevier
Objective To develop an automated estimate of EEG maturational age (EMA) for preterm
neonates. Methods The EMA estimator was based on the analysis of hourly epochs of EEG …

Application of multivariate empirical mode decomposition and sample entropy in EEG signals via artificial neural networks for interpreting depth of anesthesia

JR Huang, SZ Fan, MF Abbod, KK Jen, JF Wu… - Entropy, 2013 - mdpi.com
EEG (Electroencephalography) signals can express the human awareness activities and
consequently it can indicate the depth of anesthesia. On the other hand, Bispectral-index …