Healthy Brain Network

Researchers developed STST-JEPA, a self-supervised transformer model that predicts brain age from EEG data with a mean absolute error of 3.06 years, outperforming previous methods. The model, pretrain…

Researchers introduced STST-JEPA, a self-supervised transformer for EEG analysis, pretrained on 47,703 sessions from ages 5-81. The model achieved a mean absolute error of 3.06 years in age regression…

Researchers at Beijing Normal University found that brain wave patterns measured at age nine can predict anxiety or depression in teenage years, based on a seven-year study of 64 children published in…