Local changes in computational non-rapid eye movement sleep depth in infants.

Clin Neurophysiol

Department of Clinical Neurophysiology, Tampere University Hospital, Medical Imaging Centre and Hospital Pharmacy, Pirkanmaa Hospital District, Tampere, Finland; Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.

Published: February 2018


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Objective: Deep NREM sleep and its hallmark EEG phenomenon slow wave activity (SWA) are under homeostatic control in adults. SWA is also locally regulated as it increases in the brain areas that have been used intensively. Moreover, in children, SWA is a marker of cortical maturation. In the present study the local properties of NREM sleep depth were evaluated using the quantitative mean frequency method. We aimed to study if age is related to NREM sleep depth in young infants. In addition, we studied if young infants have local differences in their NREM sleep.

Methods: Ambulatory over-night polysomnographies were recorded in 59 healthy and full-term infants at the age of one month. The infants were divided into two age groups (<44 weeks and ≥44 weeks) to allow maturational evaluations.

Results: The quantitative sleep depth analysis showed differences between the age groups. In addition, there were local sleep depth differences within the age groups.

Conclusions: The sleep depth change with age is most likely related to cortical maturation, whereas the local sleep depth gradients might also reflect the use-dependent properties of SWA.

Significance: The results support the idea that young infants have frontal cortical processing.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clinph.2017.09.116DOI Listing

Publication Analysis

Top Keywords

sleep depth
12
nrem sleep
12
young infants
8
infants
5
local changes
4
changes computational
4
computational non-rapid
4
non-rapid eye
4
eye movement
4
sleep
4

Similar Publications

: An evolving THC product marketplace is diffusing through college campuses. It is essential to understand college students' THC knowledge, attitudes, practices and product packaging perceptions to identify campus health education and messaging strategies. : Participants were 30 undergraduate college students at a large-midwestern, public university.

View Article and Find Full Text PDF

Exploring the Arousal Intensity in Patients with Obstructive Sleep Apnea: Based on Odds Ratio Product.

Nat Sci Sleep

September 2025

Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China.

Aim: Obstructive sleep apnea (OSA) is characterized by repetitive upper airway collapse during sleep, resulting in frequent cortical arousals. However, currently used frequency-based arousal metrics do not sufficiently capture the heterogeneity and clinical significance of arousal responses. The odds ratio product (ORP) is a novel electroencephalographic marker that provides a continuous assessment of sleep depth and has the potential to serve as an objective measure of arousal intensity.

View Article and Find Full Text PDF

Chronotype is the preference for sleep and activity timing, differentiating individuals into morning (i.e., waking and sleeping early), evening (i.

View Article and Find Full Text PDF

Background And Objectives: Years before diagnosis of Parkinson disease (PD), dementia with Lewy bodies (DLB), or multiple system atrophy (MSA), mild prodromal manifestations can be detected. Longitudinal follow-up of people with prodromal synucleinopathy, particularly idiopathic/isolated REM sleep behavior disorder (iRBD), enables in-depth clinical phenotyping of early disease, which could facilitate stratification for clinical trials, provide the definition of appropriate end points, or predict phenoconversion more precisely. The aim of this study was to update and expand on previous studies assessing clinical evolution from iRBD to clinically diagnosed disease, up to 14 years before diagnosis.

View Article and Find Full Text PDF

Different levels of reduced consciousness characterise human sleep stages at the behavioural level. On electroencephalography (EEG), the identification of sleep stages predominantly relies on localised oscillatory power within distinct frequency bands. Several theoretical frameworks converge on the central significance of long-range information sharing in maintaining consciousness, which experimentally manifests as high functional connectivity (FC) between distant brain regions.

View Article and Find Full Text PDF