Influence of endogenous estradiol, progesterone, allopregnanolone, and dehydroepiandrosterone sulfate on brain resting state functional connectivity across the menstrual cycle

Syan, Sabrina K.; Minuzzi, Luciano; Costescu, Dustin; Smith, Mara; Allega, Olivia R; Coote, M.; Hall, Geoffrey B.; Frey, Benício N.

doi:10.1016/j.fertnstert.2017.03.021

Cited by 55 publications

(55 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, the present study remarks the importance of combining several analysis modes and integrate their results. For example, Syan et al (2017) did not find significant differences across menstrual cycle with an ICA approach, but reported several effects related to hormonal fluctuations in the seed-based analyses (Syan et al 2017). Each index and analysis assesses different RS measurements (for review, see Cole et al 2010) and, therefore, there is not always a suitable corresponding proxy which can be compared across methodological approaches.…”

Section: Discussionmentioning

confidence: 99%

Human menstrual cycle variation in subcortical functional brain connectivity: a multimodal analysis approach

et al. 2020

View full text Add to dashboard Cite

Increasing evidence suggests that endogenous sex steroid changes affect human brain functional connectivity, which could be obtained by resting-state fMRI (RS-fMRI). Nevertheless, RS studies on the menstrual cycle (MC) are underrepresented and yield inconsistent results. We attribute these inconsistencies to the use of various methods in exploratory approaches and small sample sizes. Hormonal fluctuations along the MC likely elicit subtle changes that, however, may still have profound impact on network dynamics when affecting key brain nodes. To address these issues, we propose a ROI-based multimodal analysis approach focusing on areas of high functional relevance to adequately capture these changes. To that end, sixty naturally cycling women underwent RS-fMRI in three different cycle phases and we performed the following analyses: (1) group-independent component analyses to identify intrinsic connectivity networks, (2) eigenvector centrality (EC) as a measure of centrality in the global connectivity hierarchy, (3) amplitude of low-frequency fluctuations (ALFF) as a measure of oscillatory activity and (4) seed-based analyses to investigate functional connectivity from the ROIs. For (2)-(4), we applied a hypothesis-driven ROI approach in the hippocampus, caudate and putamen. In the luteal phase, we found (1) decreased intrinsic connectivity of the right angular gyrus with the default mode network, (2) heightened EC for the hippocampus, and (3) increased ALFF for the caudate. Furthermore, we observed (4) stronger putamen-thalamic connectivity during the luteal phase and stronger fronto-striatal connectivity during the pre-ovulatory phase. This hormonal modulation of connectivity dynamics may underlie behavioural, emotional and sensorimotor changes along the MC.

show abstract

Section: Discussionmentioning

confidence: 99%

Human menstrual cycle variation in subcortical functional brain connectivity: a multimodal analysis approach

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Although the limited statistical power due to our small sample size may account for these negative results, there are compatible findings. For example, there was no significant difference in wFCS between different menstrual phases in healthy females (Syan et al, ). Interestingly, the only two rs‐fMRI studies in TS consistently revealed reduced wFCS in the bilateral intraparietal sulcus and cerebellar regions, relative to healthy controls (Green, Saggar, Ishak, Hong, & Reiss, ; Xie et al, ).…”

Section: Discussionmentioning

confidence: 99%

Effects of hypogonadism on brain development during adolescence in girls with Turner syndrome

Zhao

Xie

et al. 2019

Human Brain Mapping

View full text Add to dashboard Cite

Gonadal steroids play an important role in brain development, particularly during puberty. Girls with Turner syndrome (TS), a genetic disorder characterized by the absence of all or part of the second X chromosome, mostly present a loss of ovarian function and estrogen deficiency, as well as neuroanatomical abnormalities. However, few studies have attempted to isolate the indirect effects of hormones from the direct genetic effects of X chromosome insufficiency. Brain structural (i.e., gray matter [GM] morphology and white matter [WM] connectivity) and functional phenotypes (i.e., resting‐state functional measures) were investigated in 23 adolescent girls with TS using multimodal MRI to assess the role of hypogonadism in brain development in TS. Specifically, all girls with TS were divided into a hormonally subnormal group and an abnormal subgroup according to their serum follicle‐stimulating hormone (FSH) levels, with the karyotypes approximately matched between the two groups. Statistical analyses revealed significant effects of the “group‐by‐age” interaction on GM volume around the left medial orbitofrontal cortex and WM diffusion parameters around the bilateral corticospinal tract, anterior thalamic radiation, left superior longitudinal fasciculus, and cingulum bundle, but no significant “group‐by‐age” or group differences were observed in resting‐state functional measures. Based on these findings, estrogen deficiency has a nontrivial impact on the development of the brain structure during adolescence in girls with TS. Our present study provides novel insights into the mechanism by which hypogonadism influences brain development during adolescence in girls with TS, and highlights the important role of estrogen replacement therapy in treating TS.

show abstract

“…For instance, there is some suggestion that regions within the DMN appear more connected when hormones are low (early follicular phase), whereas regions within control networks appear more connected when progesterone or both progesterone and estradiol are high (midluteal phase) . But this is not always the case, as greater control‐related connectivity in the early follicular phase (i.e., low hormones) and complex patterns of correlations between estradiol and progesterone in several different networks, including the DMN, have been reported . Moreover, two studies failed to find any discernable menstrual cycle effects on the DMN or control networks …”

Section: Menstrual Cyclementioning

confidence: 99%

Ovarian hormones: a long overlooked but critical contributor to cognitive brain structures and function

Beltz

Moser

2019

Annals of the New York Academy of Sciences

View full text Add to dashboard Cite

Cognitive neuroscience research has traditionally overlooked half of the population. Arguing that variability in ovarian hormones confounds empirical findings, girls and women have been excluded from research for decades. But times are changing. This review summarizes historical trends that have led to a knowledge gap in the role of ovarian hormones in neuroscience, synthesizes recent findings on ovarian hormone contributions to cognitive brain structures and function, and highlights areas ripe for future work. This is accomplished by reviewing research that has leveraged natural experiments in humans across the life span that focus on puberty, the menstrual cycle, hormonal contraceptive use, menopause, and menopausal hormone therapy. Although findings must be considered in light of study designs (e.g., sample characteristics and group comparisons versus randomized crossover trials), across natural experiments there is consistent evidence for associations of estradiol with cortical thickness, especially in frontal regions, and hippocampal volumes, as well as with frontal regions during cognitive processing. There are also emerging investigations of resting state connectivity and progesterone along with exciting opportunities for future work, particularly concerning biopsychosocial moderators of and individual differences in effects in novel natural experiments. Thus, delineating complex ovarian hormone contributions to cognitive brain structures and function will advance neuroscience.

show abstract

Influence of endogenous estradiol, progesterone, allopregnanolone, and dehydroepiandrosterone sulfate on brain resting state functional connectivity across the menstrual cycle

Abstract: It seems that the association between female sex hormones and brain Rs-FC is menstrual cycle phase-dependent. Future studies should examine the cognitive and behavioral correlates of this association in regularly cycling women.

Cited by 55 publications

References 59 publications

Human menstrual cycle variation in subcortical functional brain connectivity: a multimodal analysis approach

Human menstrual cycle variation in subcortical functional brain connectivity: a multimodal analysis approach

Effects of hypogonadism on brain development during adolescence in girls with Turner syndrome

Ovarian hormones: a long overlooked but critical contributor to cognitive brain structures and function

Contact Info

Product

Resources

About