Belinda Angela Pletzer

This study shows that brain dynamics change with the duration of oral contraceptive use, with prolonged use linked to restricted local synchronization and enhanced cross-scale information flow.

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 the association between six SNPs in the ESR1 gene and premenstrual symptom severity, finding SNP-specific symptom profiles and interaction effects.

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.

The paper uses dynamic causal modelling to predict ovulation phase from brain connectivity changes across the menstrual cycle in healthy women.