A novel method for quantifying affective sensitivity to endogenous ovarian hormones.

Area of Science:

• Reproductive psychiatry
• Neuroendocrinology
• Computational psychiatry

Background:

• Reproductive mood disorders are linked to sensitivity to ovarian hormone fluctuations.
• Accurate quantification of hormone sensitivity is needed for prediction and prevention.
• Current methods may not fully capture the dynamic interplay between hormones and mood.

Purpose of the Study:

• To propose and apply a novel synchrony analysis method.
• To compute time-lagged cross-correlations between hormone levels and affect.
• To assess the utility of this method for understanding reproductive mood disorders.

Main Methods:

• Synchrony analysis using time-lagged cross-correlations.
• Frequent repeated assessments of affective symptoms.
• Measurement of urinary estradiol (E2) and progesterone (P4) metabolites.
• Application to a dataset of 94 perimenopausal females.

Main Results:

• Preliminary findings demonstrate the feasibility of the synchrony analysis method.
• The method quantifies the relationship between hormone fluctuations and affect.
• Potential for identifying individuals at risk for mood disturbances.

Conclusions:

• The proposed synchrony analysis method shows promise as a diagnostic tool.
• Further refinement and validation are necessary for clinical application.
• This approach can advance research into the etiology of reproductive mood disorders.