Hippocampal volume and affect in response to fluctuating estrogens in menstrual cycle irregularity: A longitudinal single-subject study DOI Creative Commons
Carina Heller, Daniel Güllmar, Carina J. Koeppel

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 28, 2023

Abstract Background The menstrual cycle is a critical indicator of women's reproductive, physical, and mental health, influenced by neuromodulatory sex steroid hormones, including estrogens like 17β-estradiol, estrone. Irregular cycles can lead to various health conditions. Understanding the relationship between endogenous hormone fluctuations brain function across essential for comprehending disorders prevalent in women. Here, we investigated impact hormonal variations on hippocampal morphology affect participant with an irregular cycle. Methods In this dense-sampling longitudinal study, healthy female underwent testing five consecutive weeks, covering mostly follicular phase ovulation. Daily blood draws provided measurements estradiol, estrone, progesterone. T 1 -weighted MRI scans assessed bilateral volumes. Psychological measures positive negative were collected each session. Statistical analyses included cubic regression curves, Spearman correlations, mediation models explore associations affect. Results Fluctuations observed concentrations, volume, 25 days. Estradiol estrone correlated significantly while progesterone did not show any significant association. Increased estrogen levels linked decreased affect, mediated volume fluctuations. further associated increased however, independently changes. Conclusion This study sheds light complex fluctuations, morphology, findings suggest potential roles regulation, implications function. Further research warranted these larger samples patterns.

Language: Английский

The relationship between menstrual cycle pattern and post‐traumatic stress in women following the 2023 earthquake in Turkey DOI Creative Commons
Sibel Kıyak, Serap Batı

Brain and Behavior, Journal Year: 2024, Volume and Issue: 14(9)

Published: Sept. 1, 2024

Abstract Aim In the aftermath of natural disasters, understanding intricate links between mental health and physiological responses, such as menstrual cycle patterns, becomes crucial. This study explores relationship post‐traumatic stress irregularities among women reproductive age residing in regions affected by 2023 earthquake Turkey. Methods 309 living 11 provinces centered Kahramanmaraş on February 6, declared disaster areas constituted sample. Data were collected online using Google forms nine months after earthquake. The data obtained Participant Information Form, Impact Events Scale Post‐traumatic Stress Disorder‐Short Form. analysis, descriptive statistics count, percentage, median, minimum, maximum used, along with statistical tests including Mann–Whitney U test, chi‐squared multiple logistic regression ROC analysis. Results study, an increase was observed following (%14.3 to %44.8, p < .001). Risk factors for included symptoms, comorbid chronic diseases, smoking. prevalence PTSD found be 22.7% this associated irregularities. Setting cut‐off score IES‐R scale at 45.50 resulted higher sensitivity detecting irregular cycles. Conclusions Women's cycles are Therefore, post‐earthquake recovery programs should specifically address protection women's physical health. comprehensive approach can reduce effects earthquake‐induced trauma.

Language: Английский

Citations

0

Idiosyncrasy and generalizability of contraceptive- and hormone-related functional connectomes across the menstrual cycle DOI Creative Commons
Katherine L. Bottenhorn, Taylor Salo, Emily G. Jacobs

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 26, 2024

Abstract Neuroendocrinology has received little attention in human neuroscience research, resulting a dearth of knowledge surrounding potent and dynamic modulators cognition behavior, as well brain structure function. This work addresses one such phenomenon by studying functional connectomics related to ovarian hormone fluctuations throughout the adult menstrual cycle. To do so, we used magnetic resonance imaging (fMRI) assessments from two dense, longitudinal datasets assess variations connectivity with respect endogenous exogenous endocrine factors First, replicated prior findings that common, group-level individual specific have similar relative contributions network organization. Second, found widespread hormonal contraceptive (HC) use, addition sparser estradiol- progesterone-related connectivity, differential generalizability these subnetworks suggests progestin-specific impacts on HC users. These results provide novel insight into within-individual changes organization across cycle extent which are shared between individuals, illuminating understudied phenomena reproductive health important information for all neuroimaging studies include participants who menstruate. Author Summary Endocrine modulation function is poorly understood. Human research long relied group- or coarse, stage-differences, overlooking considerable differences organization, cycle, concentrations. Here, take multi-dataset approach identify idiosyncratic contraceptive- hormone-related neuroendocrine dynamics then test this other individuals. In doing identified hormone-responsive somewhat generalizable though complicated potentially reflecting formulations. Thus, illuminates similarities

Language: Английский

Citations

0

Whole-brain dynamics and hormonal fluctuations across the menstrual cycle: The role of progesterone and age in healthy women DOI Creative Commons
Daniela S. Avila‐Varela, Esmeralda Hidalgo-Lopez, Paulina Clara Dagnino

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: July 25, 2023

Abstract Recent neuroimaging research suggests that female sex hormone fluctuations modulate brain activity. Nevertheless, how network dynamics change across the menstrual cycle remains largely unknown. Here, we investigated dynamical complexity u nderlying three phases (i.e., early follicular, pre-ovulatory, and mid-luteal) in 60 healthy naturally-cycling women scanned using resting-state fMRI. Our results revealed preovulatory phase exhibited highest variability over time (node-metastability) whole-brain functional compared to follicular mid-luteal phases, while showed lowest. Additionally, found large-scale networks reconfigure along phases. Finally, used multilevel mixed-effects models examine impact of hormonal age on networks. We significant age-related changes whole brain, control, dorsolateral attention observed progesterone-related changes, specifically within limbic somatomotor Overall, these findings evidence both progesterone cycle.

Language: Английский

Citations

0

Hormonal dynamics shape brain structural plasticity across the menstrual cycle: Insights from dense-sampling structural brain imaging of females with and without endometriosis DOI Creative Commons
Carina Heller, Christian Gaser, Lejla Čolić

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 19, 2023

Abstract Gonadal hormone fluctuations in females have been associated with symptoms of mental health, yet the underlying brain mechanisms remain understudied. Recent advances neuroscience shifted paradigm towards longitudinal tracking, enabling detection subtle changes overlooked conventional cross-sectional analyses. This dense-sampling approach acknowledges rhythmic nature gonadal production. Our study employed three densely sampled who underwent imaging and venipuncture (5 to 7 days per week) over full menstrual cycle investigate impact variation on structure. In two healthy typical cycles, progesterone progesterone/estradiol ratios were inversely spatiotemporal structural patterns across cycle. To probe neural effects hormonal dysregulation, we a participant endometriosis, an endocrine disorder affecting 10% their reproductive years. Here, pattern was only estradiol fluctuations. findings suggest that hormones are short-term changes, distinctions observed between endometriosis cycles. emphasizes consideration individual dynamics understanding plasticity.

Language: Английский

Citations

0

Hippocampal volume and affect in response to fluctuating estrogens in menstrual cycle irregularity: A longitudinal single-subject study DOI Creative Commons
Carina Heller, Daniel Güllmar, Carina J. Koeppel

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 28, 2023

Abstract Background The menstrual cycle is a critical indicator of women's reproductive, physical, and mental health, influenced by neuromodulatory sex steroid hormones, including estrogens like 17β-estradiol, estrone. Irregular cycles can lead to various health conditions. Understanding the relationship between endogenous hormone fluctuations brain function across essential for comprehending disorders prevalent in women. Here, we investigated impact hormonal variations on hippocampal morphology affect participant with an irregular cycle. Methods In this dense-sampling longitudinal study, healthy female underwent testing five consecutive weeks, covering mostly follicular phase ovulation. Daily blood draws provided measurements estradiol, estrone, progesterone. T 1 -weighted MRI scans assessed bilateral volumes. Psychological measures positive negative were collected each session. Statistical analyses included cubic regression curves, Spearman correlations, mediation models explore associations affect. Results Fluctuations observed concentrations, volume, 25 days. Estradiol estrone correlated significantly while progesterone did not show any significant association. Increased estrogen levels linked decreased affect, mediated volume fluctuations. further associated increased however, independently changes. Conclusion This study sheds light complex fluctuations, morphology, findings suggest potential roles regulation, implications function. Further research warranted these larger samples patterns.

Language: Английский

Citations

0