bioRxivJClub
The compositional nature of the human alpha rhythm
bioRxiv · · Preprint · Open access
Menetrey, Pascucci
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Three distinct, highly stable alpha components jointly and compositionally determine individual alpha peak frequency (IAPF) in resting-state EEG from more than 2000 participants.
- Why it matters: The usual single-rhythm model may mischaracterize how alpha frequency relates to perception, cognition, and clinical phenotypes.
- What they did: The authors analyzed resting-state EEG across multiple independent datasets using unsupervised spectral decomposition to identify alpha archetypes and quantify their age trajectories, scalp topographies, and cortical sources.
- The result: Individual differences in alpha activity reflect relative contributions of discrete alpha generators, suggesting alpha-component expression may be a more precise biomarker than conventional global IAPF measures.
The findingWhy it mattersWhat they didThe result
- Open access