[HTML][HTML] Prefrontal cortex development in health and disease: lessons from rodents and humans

M Chini, IL Hanganu-Opatz - Trends in neurosciences, 2021 - cell.com
The role of the prefrontal cortex (PFC) takes center stage among unanswered questions in
modern neuroscience. The PFC has a Janus-faced nature: it enables sophisticated cognitive …

EEG-a valuable biomarker of brain injury in preterm infants

E Pavlidis, RO Lloyd, GB Boylan - Developmental neuroscience, 2017 - karger.com
This review focuses on the role of electroencephalography (EEG) in monitoring
abnormalities of preterm brain function. EEG features of the most common developmental …

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 …

Automated EEG sleep staging in the term-age baby using a generative modelling approach

K Pillay, A Dereymaeker, K Jansen… - Journal of neural …, 2018 - iopscience.iop.org
Objective. We develop a method for automated four-state sleep classification of preterm and
term-born babies at term-age of 38–40 weeks postmenstrual age (the age since the last …

An automated quiet sleep detection approach in preterm infants as a gateway to assess brain maturation

A Dereymaeker, K Pillay, J Vervisch… - … journal of neural …, 2017 - World Scientific
Sleep state development in preterm neonates can provide crucial information regarding
functional brain maturation and give insight into neurological well being. However, visual …

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

NJ Stevenson, L Oberdorfer… - Annals of clinical …, 2020 - Wiley Online Library
Objective A major challenge in the care of preterm infants is the early identification of
compromised neurological development. While several measures are routinely used to track …

[HTML][HTML] 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 …

A review of important electroencephalogram features for the assessment of brain maturation in premature infants

E Pavlidis, RO Lloyd, S Mathieson… - Acta paediatrica, 2017 - Wiley Online Library
This review describes the maturational features of the baseline electroencephalogram
(EEG) in the neurologically healthy preterm infant. Features such as continuity, sleep state …

[HTML][HTML] Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes

K Pillay, A Dereymaeker, K Jansen, G Naulaers… - Scientific reports, 2020 - nature.com
Premature babies are subjected to environmental stresses that can affect brain maturation
and cause abnormal neurodevelopmental outcome later in life. Better understanding this …

NEURAL: quantitative features for newborn EEG using Matlab

JMO Toole, GB Boylan - arXiv preprint arXiv:1704.05694, 2017 - arxiv.org
Background: For newborn infants in critical care, continuous monitoring of brain function can
help identify infants at-risk of brain injury. Quantitative features allow a consistent and …