Daniela S. Avila‐Varela

This study uses a thermodynamics-inspired framework to model brain dynamics across menstrual cycle phases, finding that model-based biomarkers outperform hormonal and traditional connectivity measures in phase prediction.

This study examines brain dynamics across women's reproductive stages using fMRI and machine learning, finding that brain dynamics decline at menopause and that combining brain dynamics with hormone levels improves stage classification.

This study examines how brain network dynamics change across menstrual cycle phases and how age and progesterone levels influence these changes in healthy women.