Robust and replicable effects of ageing on resting-state brain electrophysiology measured with MEG.

Age-related effects on resting-state MEG brain electrophysiology are consistent and robust across datasets, with distinct frequency components showing varying effect sizes.

• Why it matters: Understanding reliable electrophysiological markers of brain aging is crucial for developing clinical tools to monitor and preserve brain health, but methodological variability has hindered progress.
• What they did: The study estimated a full-frequency, whole-head profile of age effects using the GLM-Spectrum on eyes-closed resting-state MEG data, demonstrating replication and robustness across open-access datasets.
• The result: Findings show that age effects are consistent and partially unaffected by covariates like grey matter volume, guiding future sample-size planning and marker assessment for brain health in aging.