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The menstrual cycle affects the autonomic nervous system (ANS), cognition, and emotional valence in all biological women. There exists a complex relationship between hormonal fluctuations, ANS, cognition, and emotional valence during the different phases of the menstrual cycle, which includes menstruation, the follicular phase, ovulation, and the luteal phase. Hence, this narrative review is an attempt to comprehensively understand the effects of the menstrual cycle on the structural and functional integrity of the ANS. In order to provide a comprehensive understanding of the complex relationship between the menstrual cycle, hormonal fluctuations, and ANS function in biological women, this review examines key parameters, including heart rate variability (HRV), baroreflex sensitivity (BRS), muscle sympathetic nerve activity (MSNA), and pupillary light reflex (PLR), to investigate how these physiological systems are dynamically influenced by the cyclical changes in hormone levels and how these fluctuations impact various physiological and psychological outcomes, such as mood, cognition, and emotional regulation. There have been several studies previously performed to assess these parameters during different phases of the menstrual cycle. However, the results have been contradictory; therefore, this review explores possible reasons behind these inconsistent results, with likely reasons including irregularity in the menstrual cycles and differences in hormonal fluctuations between different women during similar phases of the menstrual cycle. Overall, there appears to be evidence to suggest that the menstrual cycle has both direct and indirect effects on ANS, cognition, and emotional valence, whilst measures of ANS may provide a means for assessing the effect of the menstrual cycle.
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http://dx.doi.org/10.3390/neurosci6030078 | DOI Listing |
Contraception
September 2025
Bayer Aktiengesellschaft, Wuppertal - Aprath, Germany.
Objective: This study aimed to validate the real-world performance of the MyIUS mobile-application algorithm in predicting bleeding intensity and regularity in levonorgestrel intrauterine device (LNG-IUD) 52 mg, 19.5 mg, and 13.5 mg users following device insertion.
View Article and Find Full Text PDFFertil Steril
September 2025
ART Fertility Clinic, Royal Marina Village, B22-23, Abu Dhabi, UAE.
Objective: To compare the impact of luteal-phase ovarian stimulation on embryo count, embryo ploidy, and embryo quality to that of follicular-phase stimulation.
Design: Retrospective cohort study between 03/2017 and 11/2024.
Subjects: Women who underwent an ovarian stimulation, commenced either in the follicular or the luteal phase of the menstrual cycle.
Am J Reprod Immunol
September 2025
Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden.
Problem: Various chemokines have been linked to endometriosis. Notably, chemokines such as CCL2, CXCL8, and CXCL1 have also been shown to promote nociception. In this study, we investigated whether increased serum concentrations and endometrial expression of chemokines (specifically CCL2, CXCL8, and CXCL1) are associated with heightened severity of pain symptoms in women with endometriosis.
View Article and Find Full Text PDFBiology (Basel)
August 2025
Applied Cognitive Neuroscience Lab, Department of Neurophysiology, Neuropsychology and Neuroinformatics, Medical University of Gdansk, 80-211 Gdansk, Poland.
Sex hormones' and menstrual cycle's effects on cognitive performance remain unclear. This study examined cognitive differences between women across menstrual cycle phases, sex differences between women and men, and hormone-cognition associations. In total, 71 healthy young adults, aged 20-36 (42 women, 29 men), completed standardised cognitive tests measuring attention, processing speed, working memory, and visuospatial abilities.
View Article and Find Full Text PDFPsychoneuroendocrinology
August 2025
Department of Psychiatry, University of Illinois Chicago, United States.
Despite decades of research, there is no scientific consensus method for representing the menstrual cycle as a continuous timeline. Common phase- and count-based methods oversimplify hormonal dynamics and overlook individual variability in ovulation timing, reducing statistical power and misaligning trajectories. To address this, we introduce Phase-Aligned Cycle Time Scaling (PACTS) and its companion R package, `menstrualcycleR`, which generates continuous time variables anchored to both menses and ovulation, improving alignment of hormonal dynamics across individuals and cycles in an accessible, reproducible way.
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