Rosa H. M. Chan

This study examines how alpha rhythm changes with age and sex, finding an inverted U-shape in alpha power and peak frequency across the lifespan, with sex differences observed during puberty and later life.

The paper investigates age-dependent sex differences in EEG oscillations, finding robust sex differences in older adults but not younger adults, and links these patterns to lifestyle factors.

The paper shows that weighted network density correlates with the accuracy of latent variable models in predicting neural activity.