2018
DOI: 10.1093/sleep/zsy096
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Emergence of mature cortical activity in wakefulness and sleep in healthy preterm and full-term infants

Abstract: Study ObjectivesCortical activity patterns develop rapidly over the equivalent of the last trimester of gestation, in parallel with the establishment of sleep architecture. However, the emergence of mature cortical activity in wakefulness compared with sleep states in healthy preterm infants is poorly understood.MethodsTo investigate whether the cortical activity has a different developmental profile in each sleep–wake state, we recorded 11-channels electroencephalography (EEG), electrooculography (EOG), and r… Show more

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Cited by 15 publications
(11 citation statements)
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“…The ECG highlights episodes of tachycardia and bradycardia which are common in pre-term infants, with bradycardia episodes often associated with apnoea and desaturation 39 , 40 . Both ECG and respiratory data improve the detection of artefacts such as associated with heart rate or widespread movement 41 , and inform infant sleep staging 42 , 43 .…”
Section: Technical Validationmentioning
confidence: 99%
“…The ECG highlights episodes of tachycardia and bradycardia which are common in pre-term infants, with bradycardia episodes often associated with apnoea and desaturation 39 , 40 . Both ECG and respiratory data improve the detection of artefacts such as associated with heart rate or widespread movement 41 , and inform infant sleep staging 42 , 43 .…”
Section: Technical Validationmentioning
confidence: 99%
“…While the fMRI preprocessing pipeline for the dHCP (Fitzgibbon et al, 2019) addresses the potential problem of head motion in rs-fMRI data (Power et al, 2012;Satterthwaite et al, 2012), motion is also a surrogate marker of the arousal state of the infant, which interacts with the underlying neural activity (Denisova, 2019;Whitehead et al, 2018). To address this issue, we opted for a conservative approach consisting in the selection of a continuous sub-sample of the data (~70%) with lowest motion for each subject, and excluding those subjects with a high level of motion from further analyses.…”
Section: Functional Data Pre-processingmentioning
confidence: 99%
“…We selected postnatal age, lower vs. higher risk of adverse neurodevelopment (see Supplementary Information), a preceding sensory perturbation, physiological stress, and position of the bout within the sleep-wake cycle (i.e. which transition occurred at bout offset) to additionally enter into the model as potential secondary explanatory variables, according to previous work 16,[37][38][39][40][41][42] . The first three variables, which were available for all data points, were entered into the overall models.…”
Section: Analysis: Distributions Of Sleep-wake Bout Durationsmentioning
confidence: 99%