Maureen E. Bowers

HAPPILEE is a standardized automated pipeline for low-density EEG and ERP data processing, optimized for scalability and quality metrics.

The MADE pipeline automates EEG preprocessing for pediatric data, addressing artifact contamination and short recording periods, and provides quality reports.

The paper optimizes the ADJUST algorithm for pediatric EEG data using geodesic nets, improving artifact classification and data retention compared to original ADJUST and ICLabel.

This study examines theta oscillations in adolescents during a cognitive task, finding distinct pre- and post-response dynamics and how social motivation affects error monitoring.