Education Shapes the Link Between EEG Aperiodic Components and Cognitive Aging
Lago, S.; Zago, S.; Montemurro, S.; Calabro, R. S.; Maggio, M. G.; Dattola, S.; Casetta, I.; Arcara, G.
Show abstract
Healthy aging brings widespread shifts in aperiodic (non-oscillatory) electroencephalographic (EEG) components, which may underlie physiological changes in cognitive performance. Education, a known protective factor against age-related decline in cognitive performance, has been largely overlooked in studies linking aperiodic EEG components to cognition. This study addresses this gap, hypothesizing that education moderates the interplay between age, aperiodic components, and cognitive performance, as measured by Mini-Mental State Examination (MMSE) scores. We reanalyzed an open-source EEG dataset of 714 healthy individuals aged 18-91 years using Generalized Additive Mixed Models. Aperiodic exponent and offset both declined with age, but higher education levels mitigated these declines. Notably, exponent and offset interacted with age and education in predicting MMSE performance in the bilateral cingulate, left hippocampus, bilateral parietal, right occipital, and left temporal regions. Among older adults, the relationship between the aperiodic components and cognitive performance diverged by education: those with lower education showed worse cognitive outcomes with lower exponents and offsets, whereas higher-educated individuals after 60 years showed a reverse pattern, with lower exponents and offsets predicting better MMSE performance. Our findings suggest that the link between aperiodic components and cognitive aging is not straightforward but depends on moderating factors such as education. These results underscore the importance of accounting for individual differences, like educational background, when exploring age-related changes in EEG aperiodic components and cognition.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Your Brain Doesn't Look a Day Past 70! Cross-Sectional Associations with Brain-Predicted Age in the Cognitively-Intact Oldest-Old 94%
- Complementary value of molecular, phenotypic and functional aging biomarkers in dementia prediction 94%
- Diurnal dynamics of multilayer brain networks predict cognitive trajectories in aging 94%
Similar papers in this journal
- Lower Aperiodic EEG Activity is Associated with Reduced Verbal Fluency Performance Across Adulthood 95%
- MRI-derived brain age as a biomarker of ageing in rats: validation using a healthy lifestyle intervention 95%
- Biopsychosocial and Demographic Predictors of Functional Brain Network Specialization and Segregation Across the Adult Lifespan 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.