Esmeralda Hidalgo‐Lopez

The paper examines functional connectivity differences between women with and without improvement in centralized symptoms after hysterectomy, finding increased connectivity in pain integration regions and decreased connectivity in pain modulation regions in non-improvers.

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 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.