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

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Дек. 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.

Язык: Английский

Hierarchical organization of spontaneous co-fluctuations in densely sampled individuals using fMRI DOI Creative Commons
Richard F. Betzel, Sarah A. Cutts, Jacob Tanner

и другие.

Network Neuroscience, Год журнала: 2023, Номер 7(3), С. 926 - 949

Опубликована: Янв. 1, 2023

Abstract Edge time series decompose functional connectivity into its framewise contributions. Previous studies have focused on characterizing the properties of high-amplitude frames (time points when global co-fluctuation amplitude takes largest value), including their cluster structure. Less is known about middle- and low-amplitude co-fluctuations (peaks in but lower amplitude). Here, we directly address those questions, using data from two dense-sampling studies: MyConnectome project Midnight Scan Club. We develop a hierarchical clustering algorithm to group peak all magnitudes nested multiscale clusters based pairwise concordance. At coarse scale, find evidence three large that, collectively, engage virtually canonical brain systems. finer scales, however, each dissolved, giving way increasingly refined patterns involving specific sets also an increase magnitude with scale. Finally, comment amount needed estimate pattern implications for brain-behavior studies. Collectively, findings reported here fill several gaps current knowledge concerning heterogeneity richness as estimated edge while providing some practical guidance future

Язык: Английский

Процитировано

7

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

и другие.

npj Women s Health, Год журнала: 2024, Номер 2(1)

Опубликована: Июнь 4, 2024

Abstract Irregular menstrual cycles, affecting approximately 30% of women in their reproductive years, are often overlooked research, limiting our insights into the broader spectrum hormonal interactions. Understanding relationship between endogenous hormone fluctuations and brain function across cycle, particularly beyond regular is essential for comprehending mental disorders prevalent women. To this aim, a healthy female with an irregular cycle underwent dense sampling 5 consecutive weeks, primarily covering follicular phase ovulation. Blood draws provided measurements estradiol, estrone, progesterone. T 1 -weighted MRI scans assessed bilateral hippocampal volumes. Positive negative affect were collected at each session. Statistical analyses included cubic regression curves, Spearman correlations, mediation models to explore associations morphology affect. Significant concentrations, volume, observed 25 testing days. Estradiol estrone significantly correlated while progesterone showed no significant association. Increasing concentrations estrogens linked decreasing positive affect, mediated by volume fluctuations. further associated increasing however, independently changes. Our findings suggest potential roles regulation participant cycle. This research serves as blueprint future investigations complex interplay sex hormones structural dynamics cycles establishes fundamental framework advancement sex-specific precision medicine.

Язык: Английский

Процитировано

2

Brain fingerprint and subjective mood state across the menstrual cycle DOI Creative Commons
Lorenzo Cipriano, Marianna Liparoti, Emahnuel Troisi Lopez

и другие.

Frontiers in Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Дек. 6, 2024

Background Brain connectome fingerprinting represents a recent and valid approach in assessing individual identifiability on the basis of subject-specific brain functional connectome. Although this methodology has been tested validated several neurological diseases, its performance, reliability reproducibility healthy individuals poorly investigated. In particular, impact changes connectivity, induced by different phases menstrual cycle (MC), remains unexplored. Furthermore, although modifications psychological condition women during MC are widely documented, possible link with connectivity Methods We conducted Clinical Connectome Fingerprint (CCF) analysis source-reconstructed magnetoencephalography signals cohort 24 across MC. Results All parameters did not differ according to phases. The peri-ovulatory mid-luteal showed less stable, more variable over time, compared early follicular phase. This difference stability alpha band significantly predicted self-esteem level ( p -value <0.01), mood <0.01) five (environmental mastery, personal growth, positive relations others, purpose life, self-acceptance) six dimensions well-being <0.01, save autonomy). Conclusion These results confirm high CCF as well independence from At same time study provides insights their role affecting women’s subjective state Finally, these share predictive power self-esteem, well-being.

Язык: Английский

Процитировано

2

Effects of an Oral Contraceptive on Dynamic Brain States and Network Modularity in a Serial Single-Subject Study DOI Creative Commons
Kristian H. R. Jensen, Drummond E-Wen McCulloch, Anders S. Olsen

и другие.

Frontiers in Neuroscience, Год журнала: 2022, Номер 16

Опубликована: Июнь 14, 2022

Hormonal contraceptive drugs are used by adolescent and adult women worldwide. Increasing evidence from human neuroimaging research indicates that oral contraceptives can alter regional functional brain connectivity chemistry. However, questions remain regarding static whole-brain dynamic network-wise changes. A healthy woman (23 years old) was scanned every day over 30 consecutive days during a naturally occurring menstrual cycle again year later while using combined hormonal contraceptive. Here we calculated graph theory-derived, whole-brain, network-level measures (modularity system segregation) global (characteristic path length) as well Leading Eigenvector Dynamic Analysis diametrical clustering. These metrics were for each scan session the serial sampling periods to compare between subject’s natural cycles. Modularity, segregation, characteristic length statistically significantly higher across compared scans. We also observed shift in prevalence of two discrete states when Our results suggest more network-structured architecture cycle, whereas use is associated with generally increased structure evidenced lower length. The this repeated, single-subject analysis allude possible effects on brain-wide connectivity, which should be evaluated cohort resolve extent these generalize population impact year-long period conditions.

Язык: Английский

Процитировано

7

Spotlighting SHAPERS: sex hormones associated with psychological and endocrine roles DOI Creative Commons
Nicole Petersen

Neuropsychopharmacology, Год журнала: 2024, Номер 49(5), С. 772 - 773

Опубликована: Фев. 16, 2024

Язык: Английский

Процитировано

1

Edge‐centric functional network reveals new spatiotemporal biomarkers of early mild cognitive impairment DOI Creative Commons
Weiping Wang, Ruiying Du, Zhen Wang

и другие.

Brain‐X, Год журнала: 2023, Номер 1(3)

Опубликована: Сен. 1, 2023

Abstract Most neuroimaging studies of the pathogenesis early mild cognitive impairment (EMCI) rely on a node‐centric network model, which only calculates correlations between brain regions. Considering interaction low‐order pairs regions, we use an edge‐centric model to study high‐order functional correlations. Here, compute edge time series (eTS) obtain overlapping communities and relationship subnetworks in space. Then, based communities, calculate normalized entropy measure diversity each node. Next, high‐amplitude co‐fluctuation eTS explore pattern activity with temporal precision. Our results show that normal control EMCI patients differ subnetworks, whole brain. In particular, values gradual decrease, increases disease progression. is first investigate from perspective spatiotemporal flexibility connectivity, further characterizing dynamics providing new insights into search for biomarkers EMCI.

Язык: Английский

Процитировано

2

Reliability of Variability and Complexity Measures for Task and Task-Free BOLD fMRI DOI Open Access
Maren H. Wehrheim, Joshua Faskowitz,

Anna-Lena Schubert

и другие.

Опубликована: Ноя. 15, 2023

Brain activity continuously fluctuates over time, even if the brain is in controlled (e.g., experimentally induced) states. Recent years have seen an increasing interest understanding complexity of these temporal variations, for example with respect to developmental changes function or between-person differences healthy and clinical populations. However, psychometric reliability signal variability measures – which important precondition robust individual as well longitudinal research not yet sufficiently studied. We examined (split-half correlations) test-retest correlations task-free (resting-state) BOLD fMRI split-half seven functional task datasets from Human Connectome Project evaluate their reliability. observed good excellent derived rest activation time series (standard deviation, mean absolute successive difference, squared difference), moderate same under conditions. estimates (several entropy dimensionality measures) showed reliabilities both, calculated also time-resolved (dynamic) connectivity series, measures, but poor series. Global (i.e., across cortical regions) tended show higher than region-specific estimates. Larger subcortical regions had similar regions, small lower reliability, especially measures. Lastly, we that scores only minorly dependent on scan length replicate our results different parcellation denoising strategies. These suggest are well-suited research. Temporal global provides novel approach robustly quantifying dynamics function.

Язык: Английский

Процитировано

2

Menstrual cycle-driven hormone concentrations co-fluctuate with white and grey matter architecture changes across the whole brain DOI Creative Commons
Elizabeth Rizor, Viktoriya Babenko, Neil M. Dundon

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 10, 2023

Abstract Cyclic fluctuations in hypothalamic-pituitary-gonadal axis (HPG-axis) hormones exert powerful behavioral, structural, and functional effects through actions on the mammalian central nervous system. Yet, very little is known about how these alter structural nodes information highways of human brain. In a study 30 naturally cycling women, we employed multidimensional diffusion T 1 -weighted imaging during three estimated menstrual cycle phases (menses, ovulation, mid-luteal) to investigate whether HPG-axis hormone concentrations co-fluctuate with alterations white matter (WM) microstructure, cortical thickness (CT), brain volume. Across whole brain, 17β-estradiol luteinizing (LH) were directly proportional anisotropy (μFA), while follicle-stimulating (FSH) was thickness. Within several individual regions, FSH progesterone demonstrated opposing associations mean diffusivity These regions mainly reside within temporal occipital lobes, implications for limbic visual systems. Lastly, associated increased tissue decreased CSF volumes, total volume remaining unchanged. results are first report simultaneous brain-wide changes WM microstructure coinciding cycle-driven rhythms. Strong brain-hormone interaction may not be limited classically receptor-dense regions.

Язык: Английский

Процитировано

1

Exploring sex-specific neuroendocrine influences on the sensorimotor-association axis in single individuals DOI Creative Commons

Bianca Serio,

Deniz Yılmaz, Laura Pritschet

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Май 5, 2024

Human neuroimaging studies consistently show multimodal patterns of variability along a key principle macroscale cortical organization - the sensorimotor-association (S-A) axis. However, little is known about day-to-day fluctuations in functional activity this axis within an individual, including sex-specific neuroendocrine factors contributing to such transient changes. We leveraged data from two densely sampled healthy young adults, one female and male, investigate intra-individual daily S-A axis, which we computed as our measure by reducing dimensionality connectivity matrices. Daily was greatest temporal limbic ventral prefrontal regions both participants, more strongly pronounced male subject. Next, probed local- system-level effects steroid hormones self-reported perceived stress on organization. Our findings revealed modest that differed between hinting at subtle -potentially sex-specific- associations In sum, study points possible modulators brain organization, highlighting need for further research larger samples.

Язык: Английский

Процитировано

0

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, Год журнала: 2024, Номер 14(9)

Опубликована: Сен. 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.

Язык: Английский

Процитировано

0