Spontaneous Alpha and Theta Oscillations Are Related to Complementary Aspects of Cognitive Control in Younger and Older Adults

Clements, Grace M.; Bowie, Daniel C.; Gyurkovics, Máté; Low, Kathy A.; Fabiani, Monica; Gratton, Gabriele · 2021 · Frontiers in Human Neuroscience

DOI: 10.3389/fnhum.2021.621620

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Summary

This study investigates the relationship between spontaneous resting-state electroencephalogram (EEG) oscillations and cognitive control in younger and older adults. The research is motivated by the hypothesis that alpha (8–12 Hz) and theta (4–8 Hz) oscillations play complementary roles in cognitive control: alpha facilitates proactive control by maintaining current task representations, while theta facilitates reactive control by updating representations in response to conflict. The authors also explored the role of non-oscillatory 1/f activity. The goal was to determine if resting-state EEG metrics serve as trait-like biomarkers for these distinct control processes and how these relationships are modulated by aging. The researchers recorded eyes-open and eyes-closed resting-state EEG from 20 younger adults (ages 18–30) and 19 older adults (ages 65–80). EEG data were processed to separate oscillatory power from non-oscillatory 1/f activity using a linear regression model, allowing for independent estimation of alpha, theta, and 1/f offset. Participants subsequently performed a cued flanker task designed to elicit both proactive and reactive control. Reactive control was measured by the congruency effect (the performance difference between incongruent and congruent trials), while proactive control was measured by the conflict expectation effect (the modulation of the congruency effect based on probabilistic cues indicating likely congruency). Statistical analyses included mixed ANOVAs to assess age and eye-status effects on EEG metrics, and Spearman’s correlations to link EEG features to behavioral performance, controlling for age. Results indicated that older adults exhibited significantly smaller alpha power and 1/f offset compared to younger adults, whereas theta power did not show age-related reductions. Crucially, resting-state alpha power and 1/f offset were positively associated with proactive control performance, while resting-state theta power was associated with reactive control. These associations remained significant after controlling for age, suggesting that the links between specific EEG oscillations and cognitive control strategies are robust across the adult lifespan. The findings support the theoretical framework that alpha and theta oscillations underlie complementary mechanisms of cognitive control, with alpha supporting the maintenance of goal states and theta supporting conflict resolution and updating. The significance of this work lies in its demonstration that spontaneous EEG features can serve as reliable, trait-like indicators of individual differences in cognitive control. By distinguishing between proactive and reactive control mechanisms through distinct neural oscillations, the study provides a nuanced understanding of how brain dynamics support executive function. Furthermore, the preservation of these EEG-behavior relationships in healthy older adults, despite age-related declines in alpha power, suggests that the fundamental neural architecture for cognitive control remains intact in healthy aging. This offers potential biomarkers for assessing cognitive health and understanding the neural substrates of age-related cognitive changes.

Key finding

Resting-state alpha power and 1/f offset are associated with proactive cognitive control, while theta power is associated with reactive cognitive control, with these relationships holding true for both younger and older adults.

Methodology

lab_experiment

Sample size: 39

Provenance

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