ArticleFrontiers in aging neuroscience2026
State sensitivity and five-year longitudinal stability of resting-state EEG biomarker candidates in healthy adults.
Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Resting-state EEG is widely used to investigate individual differences in brain function, as it allows repeated measurements with high temporal resolution and minimal task demands. However, validating EEG metrics as biomarker candidates requires more than demonstrating cross-sectional differences at a single time point. It is necessary to evaluate whether each metric is sensitive to transient state changes, such as eyes-open (EO) and eyes-closed (EC) conditions, and whether individual differences remain stable across long-term follow-up. This study investigated EO/EC state sensitivity and five-year longitudinal stability of posterior alpha relative power, alpha peak frequency, theta/beta ratio, and aperiodic exponent using publicly available resting-state EEG data from healthy adults. State sensitivity was evaluated using within-participant EO/EC differences and Cohen's
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