Idiosyncrasy and generalizability of contraceptive- and hormone-related functional connectomes across the menstrual cycle

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

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Synchronous high-amplitude co-fluctuations of functional brain networks during movie-watching

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Aug. 3, 2022

Abstract Recent studies have shown that functional connectivity can be decomposed into its exact framewise contributions, revealing short-lived, infrequent, and high-amplitude time points referred to as ``events.'' Although events contribute disproportionately the time-averaged pattern, improve identifiability brain-behavior associations, been linked endogenous hormonal fluctuations autism, their origins remain unclear. Here, we address this question using two independently-acquired imaging datasets in which participants passively watched movies. We find synchronize across individuals based on level of synchronization, categorized three distinct classes: those at boundaries between movies, during do not all. boundary events, compared other categories, exhibit greater amplitude, co-fluctuation patterns, temporal propagation. show underlying is a specific mode involving activation control salience systems alongside deactivation visual systems. Finally, strong positive relationship similarity time-locked patterns propensity for frames involve synchronous events. Collectively, our results suggest spatiotemporal properties are non-random locked time-varying stimuli.

Language: Английский

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Whole-brain dynamics and hormonal fluctuations across the menstrual cycle: The role of progesterone and age in healthy women

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

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Hippocampal volume and affect in response to fluctuating estrogens in menstrual cycle irregularity: A longitudinal single-subject study

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

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Hormonal dynamics shape brain structural plasticity across the menstrual cycle: Insights from dense-sampling structural brain imaging of females with and without endometriosis

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

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