Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years

Area of Science:

• Neuroscience
• Cognitive Aging
• Biomarkers

Background:

• Intrinsic brain function at rest, measured by EEG, shows potential for predicting cognitive decline.
• Individual alpha peak frequency (IAPF) and aperiodic exponent are key EEG metrics linked to age and cognitive function.
• Limited research exists on the combined predictive power of IAPF and aperiodic exponent for longitudinal cognitive decline.

Purpose of the Study:

• To investigate if resting-state IAPF and aperiodic exponent predict cognitive function decline over 10 years.
• To examine the joint association of IAPF and aperiodic exponent with longitudinal changes in cognitive ability.

Main Methods:

• Secondary analysis of the longitudinal Midlife in the United States (MIDUS) study data.
• EEG recordings from 235 participants (mean age 55.10 years) were used to measure IAPF and aperiodic exponent.
• Cognitive function was assessed over a 10-year period, controlling for demographic factors.

Main Results:

• IAPF and aperiodic exponent interacted significantly to predict decline in overall cognitive ability.
• "Mismatched" combinations of IAPF and aperiodic exponent were associated with greater cognitive decline compared to "matched" combinations.
• Executive function measures were primarily influenced by these combined EEG predictors.

Conclusions:

• This study provides the first evidence that IAPF and the aperiodic exponent jointly predict cognitive decline from midlife.
• These brain activity measures may serve as valuable clinical tools for identifying individuals at risk of cognitive aging.
• Understanding the interplay between IAPF and aperiodic exponent offers new insights into neural mechanisms of cognitive aging.