98%
921
2 minutes
20
While brain morphology is well-established as a key factor influencing overall brain function, little is known about how brain structural properties are associated with oscillatory activity, particularly during sleep. In this study, we analyzed whole-night sleep electroencephalography (EEG) and brain structural MRI data from a subset of 621 individuals in the Multi-Ethnic Study of Atherosclerosis to explore the relationship between brain structure and sleep EEG properties. We found that larger total white matter (WM) volume was associated with higher absolute broad-band power, regardless of sleep stage, likely reflecting WM contribution to enhanced synchronization across cortical regions and reduced activation attenuation via long-range myelinated fibers. Additionally, both WM fractional anisotropy and thalamic volume showed a negative association with relative slow power and a positive association with delta power during non-rapid eye movement sleep. This was mirrored in the duration of slow oscillations, both overall and when divided into slow-switching and fast-switching types, with their ratio additionally linked to total WM volume. Furthermore, we observed strong but largely independent effects of age and sex on sleep EEG and structural magnetic resonance imaging (MRI) metrics, suggesting that sleep EEG captures aging processes and sex-specific features that extend beyond the macro-scale brain morphology changes examined here. Overall, these findings deepen our understanding of how structural brain properties influence sleep-related oscillatory activity.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351262 | PMC |
http://dx.doi.org/10.1093/sleep/zsaf074 | DOI Listing |
Neuropsychologia
September 2025
Department of Experimental Psychology and Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United-Kingdom. Electronic address:
Models of memory consolidation propose that newly acquired memory traces undergo reorganisation during sleep. To test this idea, we recorded high-density electroencephalography (EEG) during an evening session of word-image learning followed by immediate (pre-sleep) and delayed (post-sleep) recall. Polysomnography was employed throughout the intervening night, capturing time spent in different sleep stages.
View Article and Find Full Text PDFNeuroimage
September 2025
UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, INSERM, Sorbonne Université, Paris, France; Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpêtrière, Département R3S, Paris, France. Electronic address:
Background: Neural respiratory drive (NRD) is a clinically relevant biomarker in patients with chronic obstructive pulmonary disease (COPD). However, its analysis is challenging due to several technical considerations, including the need to obtain a stable recording over a short time period. However, a short recording duration may be inadequate to comprehensively record clinically relevant information, particularly during sleep, because NRD varies across sleep stages and over time.
View Article and Find Full Text PDFSmall Methods
September 2025
Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong, 515063, China.
Scalp electroencephalography (EEG) serves as a pivotal technology for the noninvasive monitoring of brain functional activity, diagnosing neurological disorders, and assessing cognitive states. However, inherent compatibility barriers between traditional rigid electrodes and the hairy scalp interface significantly compromise signal quality, long-term monitoring comfort, and user compliance. This review examines conductive hydrogel electrodes' pivotal role in advancing scalp EEG, particularly their unique capacity to overcome hair-interface barriers.
View Article and Find Full Text PDFEarly Hum Dev
August 2025
Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China; Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China; National Health Commission (NHC) Key Lab
Objective: To synthesise current evidence on electroencephalography-based functional connectivity in preterm infants and clarify how prematurity alters early brain-network maturation.
Methods: A PRISMA-guided search (PubMed and Web of Science, inception-Mar 2025) identified 24 studies that quantified resting-state functional connectivity or graph-theory metrics in infants born <37 weeks' gestation. Study quality was rated with a six-item electroencephalography-functional connectivity checklist (reference montage, epoch length/number, artefact rejection, volume-conduction control, multiple-comparison correction).
Brain Topogr
September 2025
School of Biomedical Sciences, University of New South Wales (UNSW), Wallace Wurth Building, Kensington, NSW, 2052, Australia.
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