Multimodal neuroimaging correlates of spectral power in NREM sleep delta sub-bands in cognitively unimpaired older adults.
EEG
Sleep
Slow-Wave
aging
amyloid
atrophy
gray matter
neuroimaging
Journal
Sleep
ISSN: 1550-9109
Titre abrégé: Sleep
Pays: United States
ID NLM: 7809084
Informations de publication
Date de publication:
16 Jan 2024
16 Jan 2024
Historique:
received:
22
05
2023
medline:
16
1
2024
pubmed:
16
1
2024
entrez:
16
1
2024
Statut:
aheadofprint
Résumé
In aging, reduced delta power (0.5-4 Hz) during N2 and N3 sleep has been associated with gray matter (GM) atrophy and hypometabolism within frontal regions. Some studies have also reported associations between N2-N3 sleep delta power in specific sub-bands and amyloid pathology. Our objective was to better understand the relationships between spectral power in delta sub-bands during N2-N3 sleep and brain integrity using multimodal neuroimaging. In-home polysomnography was performed in 127 cognitively unimpaired older adults (mean age ± SD: 69.0 ± 3.8 years). N2-N3 sleep EEG power was calculated in delta (0.5-4 Hz), slow delta (0.5-1 Hz) and fast delta (1-4 Hz) frequency bands. Participants also underwent MRI and Florbetapir-PET (early and late acquisitions) scans to assess GM volume, brain perfusion and amyloid burden. Amyloid accumulation over ~21 months was also quantified. Higher delta power was associated with higher GM volume mainly in fronto-cingular regions. Specifically, slow delta power was positively correlated with GM volume and perfusion in these regions, while the inverse association was observed with fast delta power. Delta power was neither associated with amyloid burden at baseline, nor its accumulation over time, whatever the frequency band considered. Our results show that slow delta is particularly associated with preserved brain structure, and highlight the importance of analysing delta power sub-bands to better understand the associations between delta power and brain integrity. Further longitudinal investigations with long follow-ups are needed to disentangle the associations between sleep, amyloid pathology and dementia risk in older populations.
Identifiants
pubmed: 38227830
pii: 7560450
doi: 10.1093/sleep/zsae012
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2024. Published by Oxford University Press on behalf of Sleep Research Society.