ArticleJCPP advances2026
Reduced occurrence of alpha waves during resting state predicts high attention-deficit/hyperactivity disorder traits in young adults.
Article in JCPP advances, 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
Background: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8-12 Hz) have been suggested as a potential biomarker, but findings have been inconsistent. Methods: This study aimed to investigate whether alpha oscillations in young adulthood are associated with high ADHD traits using EEG data from a large twin sample ( Results: Results showed that relative alpha peak amplitude was a significant predictor of ADHD traits when controlling for other factors such as age, sex and autistic traits. Specifically, we found that for each unit decrease in relative alpha peak amplitude ( Conclusion: Together, these findings suggest that reduced alpha oscillations, particularly the occurrence of alpha bursts, may serve as a potential biomarker for ADHD. Our results may have implications for neuromodulation therapies targeting alpha rhythms in ADHD, such as neurofeedback and transcranial alternating current stimulation.
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