Functional reorganization of brain networks across the human menstrual cycle

Pritschet, Laura; Santander, Tyler; Taylor, Caitlin M.; Layher, Evan; Shu-ying, YU; Miller, Michael B.; Grafton, Scott T.; Jacobs, Emily G.

doi:10.1016/j.neuroimage.2020.117091

Cited by 136 publications

(162 citation statements)

References 84 publications

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“…To begin, we tested the hypothesis that cerebellar functional connectivity at rest is associated with intrinsic fluctuations in estradiol and progesterone in a day-by-day fashion. Given the pronounced expression of PR within the cerebellum and the ability of progesterone to augment inhibitory responses within cerebellar neurons 19,24,42 , we predicted decreases in cerebellar functional connectivity as progesterone concentrations increase across the cycle, in keeping with results previously found in the cerebrum 37 . Further, we predicted estradiol would augment cerebellar coherence.…”

Section: Temporal Dependencies Between Sex Hormones and Edgewise Connsupporting

confidence: 83%

“…A healthy, naturally-cycling female (author L.P.; age 23) underwent venipuncture and MRI scanning for 30 consecutive days. The full dataset consists of daily mood, diet, and behavioral assessments; task-based and restingstate fMRI; structural MRI; and serum assessments of pituitary gonadotropins and ovarian sex hormones 37 . Neuroimaging data, daily behavioral assessments, and analysis code is publicly available (see "Data/code availability").…”

Section: Resultsmentioning

confidence: 99%

“…2-4 times), obscuring the rhythmic changes in hormone production across a complete cycle 32,33 . The field of network neuroscience has begun to use dense-sampling methods to probe the properties of the human brain over unprecedented timescales to study the dynamic time-varying properties of the human brain over days, weeks, months, and years [34][35][36][37][38] . In a recent densesampling study from our group, a woman underwent 30 consecutive days of brain imaging and venipuncture across a complete menstrual cycle, revealing estradiol and progesterone's ability to modulate widespread patterns of connectivity across the cortex 37,39 .…”

mentioning

confidence: 99%

“…The field of network neuroscience has begun to use dense-sampling methods to probe the properties of the human brain over unprecedented timescales to study the dynamic time-varying properties of the human brain over days, weeks, months, and years [34][35][36][37][38] . In a recent densesampling study from our group, a woman underwent 30 consecutive days of brain imaging and venipuncture across a complete menstrual cycle, revealing estradiol and progesterone's ability to modulate widespread patterns of connectivity across the cortex 37,39 . Given the sensitivity of the cerebral cortex to endogenous fluctuations in sex steroid hormones 33,37,[39][40][41] and accumulating evidence for sex hormone action in the cerebellum 42,43 , here we tested the hypothesis that sex hormones impact the intrinsic day-to-day dynamics of cerebellar circuits.…”

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confidence: 99%

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Cerebellar network organization across the human menstrual cycle

Fitzgerald

Pritschet

Santander

et al. 2020

Sci Rep

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The cerebellum contains the vast majority of neurons in the brain and houses distinct functional networks that constitute at least two homotopic maps of cerebral networks. It is also a major site of sex steroid hormone action. While the functional organization of the human cerebellum has been characterized, the influence of sex steroid hormones on intrinsic cerebellar network dynamics has yet to be established. Here we investigated the extent to which endogenous fluctuations in estradiol and progesterone alter functional cerebellar networks at rest in a woman densely sampled over a complete menstrual cycle (30 consecutive days). Edgewise regression analysis revealed robust negative associations between progesterone and cerebellar coherence. Graph theory metrics probed sex hormones’ influence on topological brain states, revealing relationships between sex hormones and within-network integration in Ventral Attention, Dorsal Attention, and SomatoMotor Networks. Together these results suggest that the intrinsic dynamics of the cerebellum are intimately tied to day-by-day changes in sex hormones.

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Section: Temporal Dependencies Between Sex Hormones and Edgewise Connsupporting

confidence: 83%

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Cerebellar network organization across the human menstrual cycle

Fitzgerald

Pritschet

Santander

et al. 2020

Sci Rep

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“…However, further studies did not find any correlation between resting state activity and neither progesterone nor estradiol 22 . Very recently, Pritschet et al 45 demonstrated, in a very elegant study, the crucial effect of estradiol on brain network. The authors performed a dense-sampling protocol, scanning the same woman for 30 consecutive days.…”

Section: Discussionmentioning

confidence: 99%

Functional brain network topology across the menstrual cycle is sex hormone dependent and correlates with the individual well-being

Liparoti

Lopez

Sarno

et al. 2020

Preprint

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The menstrual cycle is known to influence the behaviour. The neuronal bases of this phenomenon are poorly understood. We hypothesized that hormones, might affect the large-scale organization of the brain functional networks and that, in turn, such changes might have behavioural correlates in terms of the affective state. To test our hypothesis, we took advantage of magnetoencephalography to investigate brain topology in early follicular, ovulatory and luteal phases, in twenty-four naturally-cycling women without signs of anxiety and/or depression. We show that in the alpha band the betweenness centrality (BC) of the right posterior cingulate gyrus (PCG) during the ovulatory phase is increased and the rise is predicted by the levels of estradiol. We also demonstrate that the increase in the BC is related to improved subjective well-being that, in turn, is correlated to the estradiol levels. The increased topological centrality of the PCG during the ovulatory phase could have implications in reproductive psychology.

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Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females

Dhamala

Jamison

Jaywant

et al. 2021

Human Brain Mapping

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A thorough understanding of sex-independent and sex-specific neurobiological features that underlie cognitive abilities in healthy individuals is essential for the study of neurological illnesses in which males and females differentially experience and exhibit cognitive impairment. Here, we evaluate sex-independent and sex-specific relationships between functional connectivity and individual cognitive abilities in 392 healthy young adults (196 males) from the Human Connectome Project. First, we establish that sex-independent models comparably predict crystallised abilities in males and females, but only successfully predict fluid abilities in males. Second, we demonstrate sex-specific models comparably predict crystallised abilities within and between sexes, and generally fail to predict fluid abilities in either sex. Third, we reveal that largely overlapping connections between visual, dorsal attention, ventral attention, and temporal parietal networks are associated with better performance on crystallised and fluid cognitive tests in males and females, while connections within visual, somatomotor, and temporal parietal networks are associated with poorer performance. Together, our findings suggest that shared neurobiological features of the functional connectome underlie crystallised and fluid abilities across the sexes.

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Functional reorganization of brain networks across the human menstrual cycle

Cited by 136 publications

References 84 publications

Cerebellar network organization across the human menstrual cycle

Cerebellar network organization across the human menstrual cycle

Functional brain network topology across the menstrual cycle is sex hormone dependent and correlates with the individual well-being

Shared functional connections within and between cortical networks predict cognitive abilities in adult males and females

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