Multivariate prediction of cognitive performance from the sleep electroencephalogram.

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 gr

SUBMITTER: Ujma PP 

PROVIDER: S-EPMC10661862 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature