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Updated: May 15, 2025

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Published on: April 9, 2014
Lower aperiodic EEG activity is associated with reduced verbal fluency performance across adulthood
Daniel J McKeown1, Emily Roberts1, Anna J Finley2
1School of Psychology, Faculty of Society and Design, Bond University, Gold Coast, Queensland 4229, Australia.
Human electroencephalography (EEG) aperiodic activity, not just periodic, relates to cognitive function. Aperiodic offset in EEG is linked to verbal fluency performance decline in adults starting around age 33.
Area of Science:
- Neuroscience
- Cognitive Science
- Signal Processing
Background:
- Previous research on electroencephalography (EEG) and aging focused on periodic activity.
- EEG's aperiodic activity, characterized by exponent and offset, is understudied in cognitive aging.
Purpose of the Study:
- To investigate the association between resting-state EEG aperiodic activity (exponent and offset) and cognitive performance in healthy adults.
- To explore how these associations interact with age.
Main Methods:
- Secondary analysis of 111 healthy participants (aged 17-71).
- Resting-state eyes-closed EEG data analyzed for aperiodic exponent and offset.
- Principal Component Analysis and K-Means Clustering for electrode activity.
- Robust linear models to assess age interactions with aperiodic activity and cognitive tests (including Verbal Fluency Test).
Main Results:
- Identified electrode clusters with similar aperiodic exponent and offset.
- Found significant age interactions for aperiodic offset and Verbal Fluency Test performance.
- Smaller aperiodic offsets correlated with poorer verbal fluency in adults from age 33 onwards.
- Greater aperiodic activity showed increasing association with better verbal fluency as adults aged.
Conclusions:
- Aperiodic EEG activity, specifically its offset, is a significant correlate of cognitive function, particularly verbal fluency, across adulthood.
- These findings highlight the importance of considering aperiodic EEG signals for understanding cognitive aging.
- Aperiodic EEG may serve as a sensitive biomarker for early age-related changes in cognitive function.
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