Education shapes the link between EEG aperiodic components and cognitive aging.

Area of Science:

• Neuroscience
• Cognitive Aging
• Electroencephalography (EEG)

Background:

• Healthy aging is associated with changes in non-oscillatory EEG components, potentially affecting cognition.
• Education is a known factor protecting against age-related cognitive decline but is understudied regarding EEG aperiodic components.
• The relationship between EEG aperiodic activity, aging, and cognition requires further investigation, considering individual differences.

Purpose of the Study:

• To investigate how education moderates the relationship between age, aperiodic EEG components, and cognitive performance (MMSE).
• To explore the widespread cortical influence of these interactions on cognitive function.

Main Methods:

• Reanalysis of an open-source EEG dataset from 714 healthy individuals (aged 18-91).
• Utilized Generalized Additive Mixed Models to analyze aperiodic EEG components (exponent and offset) in relation to age, education, and MMSE scores.

Main Results:

• Aperiodic EEG components declined with age, but this decline was attenuated by higher education levels.
• Aperiodic components interacted with age and education to predict MMSE performance across the cortex.
• In older adults (>60), the association between aperiodic components and MMSE scores differed by education level, showing distinct patterns for lower vs. higher educated individuals.

Conclusions:

• The link between EEG aperiodic components and cognitive aging is complex and moderated by education.
• Educational background is crucial for understanding individual differences in age-related EEG changes and cognitive function.
• Future research should incorporate educational attainment when examining EEG aperiodic dynamics and cognitive trajectories in aging populations.