AI Article Synopsis

  • Human cognitive performance is linked to biological factors, with sleep EEG emerging as a useful biomarker based on studies of older men.
  • Analysis showed that sleep EEG features can explain 2.5-10% of the variance in cognitive performance, primarily influenced by demographic variables rather than health ones.
  • Specific sleep EEG patterns, like sigma power during NREM and beta power during REM, correlate with better cognitive abilities, while theta power in REM is associated with poorer performance, indicating potential trait-like influences on cognition.

Article Abstract

Human cognitive performance is a key function whose biological foundations have been partially revealed by genetic and brain imaging studies. The sleep electroencephalogram (EEG) is tightly linked to structural and functional features of the central nervous system and serves as another promising biomarker. We used data from MrOS, a large cohort of older men and cross-validated regularized regression to link sleep EEG features to cognitive performance in cross-sectional analyses. In independent validation samples 2.5-10% of variance in cognitive performance can be accounted for by sleep EEG features, depending on the covariates used. Demographic characteristics account for more covariance between sleep EEG and cognition than health variables, and consequently reduce this association by a greater degree, but even with the strictest covariate sets a statistically significant association is present. Sigma power in NREM and beta power in REM sleep were associated with better cognitive performance, while theta power in REM sleep was associated with worse performance, with no substantial effect of coherence and other sleep EEG metrics. Our findings show that cognitive performance is associated with the sleep EEG (r = 0.283), with the strongest effect ascribed to spindle-frequency activity. This association becomes weaker after adjusting for demographic (r = 0.186) and health variables (r = 0.155), but its resilience to covariate inclusion suggest that it also partially reflects trait-like differences in cognitive ability.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661862PMC
http://dx.doi.org/10.1016/j.neuroimage.2023.120319DOI Listing

Publication Analysis

Top Keywords

cognitive performance
24
sleep eeg
20
sleep
9
sleep electroencephalogram
8
eeg features
8
health variables
8
power rem
8
rem sleep
8
sleep associated
8
cognitive
7

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!