Elevated gray matter volume of the emotional cerebellum in women with premenstrual dysphoric disorder

Functional and structural neuroimaging in premenstrual dysphoric disorder: A systematic review

This systematic review aimed to summarize the most recent data on changes in brain structure and function in premenstrual dysphoric disorder (PMDD) as well as elucidate the possible correlations between these findings and symptom severity. Articles published in PubMed, EMBASE, ScienceDirect, PsycInfo, Web of Science, and Scopus from inception until April 2023 were systematically reviewed according to the PICO framework: population (women with PMDD), intervention (neuroimaging study), control (healthy subjects), and outcome (neuroimaging changes). In total, 1026 individuals were included from controlled (n = 22) and non-controlled (n = 2) trials. Among them, 608 had PMDD, and 418 were healthy controls. Different neuroimaging methods were addressed, such as task-based functional magnetic resonance imaging (MRI), resting-state functional MRI, proton magnetic resonance spectroscopy, diffusion tensor imaging, proton emission tomography, and structural MRI. Despite the absence of consensual results, several brain structures have been implicated in PMDD, including the prefrontal cortex, amygdala, hippocampus, insula, basal ganglia, and cerebellum. In addition, some brain changes are related to the intensity of symptoms and phases of the menstrual cycle, such as the correlation between depressive symptoms and increased serotonin transporter binding potential in the midbrain during the luteal phase.

Cortical morphology variations during the menstrual cycle in individuals with and without premenstrual dysphoric disorder

BACKGROUND

Premenstrual dysphoric disorder (PMDD) is hypothesized to stem from maladaptive neural sensitivity to ovarian steroid hormone fluctuations. Recently, we found thinner cortices in individuals with PMDD, compared to healthy controls, during the symptomatic phase. Here, we aimed at investigating whether such differences illustrate state-like characteristics specific to the symptomatic phase, or trait-like features defining PMDD.

METHODS

Patients and controls were scanned using structural magnetic resonance imaging during the mid-follicular and late-luteal phase of the menstrual cycle. Group-by-phase interaction effects on cortical architecture metrics (cortical thickness, gyrification index, cortical complexity, and sulcal depth) were assessed using surface-based morphometry.

RESULTS

Independently of menstrual cycle phase, a main effect of diagnostic group on surface metrics was found, primarily illustrating thinner cortices (0.3 < Cohen's d > 1.1) and lower gyrification indices (0.4 < Cohen's d > 1.0) in patients compared to controls. Furthermore, menstrual cycle-specific effects were detected across all participants, depicting a decrease in cortical thickness (0.4 < Cohen's d > 1.7) and region-dependent changes in cortical folding metrics (0.4 < Cohen's d > 2.2) from the mid-follicular to the late luteal phase.

LIMITATIONS

Small effects (d = 0.3) require a larger sample size to be accurately characterized.

CONCLUSIONS

These findings provide initial evidence of trait-like cortical characteristics of the brain of individuals with premenstrual dysphoric disorder, together with indications of menstrual cycle-related variations in cortical architecture in patients and controls. Further investigations exploring whether these differences constitute stable vulnerability markers or develop over the years may help understand PMDD etiology.

Electroencephalography findings in menstrually-related mood disorders: A critical review

The female reproductive years are characterized by fluctuations in ovarian hormones across the menstrual cycle, which have the potential to modulate neurophysiological and behavioral dynamics. Menstrually-related mood disorders (MRMDs) comprise cognitive-affective or somatic symptoms that are thought to be triggered by the rapid fluctuations in ovarian hormones in the luteal phase of the menstrual cycle. MRMDs include premenstrual syndrome (PMS), premenstrual dysphoric disorder (PMDD), and premenstrual exacerbation (PME) of other psychiatric disorders. Electroencephalography (EEG) non-invasively records in vivo synchronous activity from populations of neurons with high temporal resolution. The present overview sought to systematically review the current state of task-related and resting-state EEG investigations on MRMDs. Preliminary evidence indicates lower alpha asymmetry at rest being associated with MRMDs, while one study points to the effect being luteal-phase specific. Moreover, higher luteal spontaneous frontal brain activity (slow/fast wave ratio as measured by the delta/beta power ratio) has been observed in persons with MRMDs, while sleep architecture results point to potential circadian rhythm disturbances. In this review, we discuss the quality of study designs as well as future perspectives and challenges of supplementing the diagnostic and scientific toolbox for MRMDs with EEG.

Diagnostic validity of premenstrual dysphoric disorder: revisited

The World Health Organization (WHO) and American Psychiatric Association (APA) have recognised premenstrual dysphoric disorder (PMDD) as an independent diagnostic entity, legitimising the distress and socio-occupational impairment experienced by affected women. However, the biological validity of this diagnosis remains inexplicit. This illness has also been criticised for a feminist-led, sympathetic reaction to the modern cultural challenges of urban, literate, employed, high-functioning women. This article systematically reviews existing literature on PMDD using the criteria established by Robins and Guze for the validity of a psychiatric diagnosis (clinical description, laboratory study, exclusion of other disorders, follow-up study, and family study). Despite the early recognition of premenstrual syndrome (PMS) in the 1950s, the research has encountered challenges due to two groups of proponents viewing it with psychologising bias and medicalising bias. PMDD is currently understood as the most severe form of PMS, characterised by the presence of psychological features. Recent evidence suggests that PMDD perhaps has neurodevelopmental underpinnings (attention deficit hyperactive disorder, adverse childhood experiences) affecting the fronto-limbic circuit that regulates the emotions. In addition, the affected individuals exhibit an increased sensitivity to gonadal hormonal fluctuations as observed during premenstrual, pregnancy, and perimenopausal phases of life. The prevalence is comparable between high-income countries and low- and middle-income countries (LAMIC), refuting the notion that it mostly affects modern women. Instead, a greater prevalence is observed in LAMIC. Despite the fact that educated women possess knowledge regarding the importance of getting help, there is a prevalent issue of inadequate help-seeking behaviour. This can be attributed to the perception of seeking help as an isolating experience, which is influenced by profound internalised stigma and discrimination in the workplace. Future studies must aim to develop culturally validated assessment tools and more research to understand the life course of the illness, in addition to systematically examining for more biological validators (animal models, genetics, imaging, neurotransmitters).

Differential grey matter structure in women with premenstrual dysphoric disorder: evidence from brain morphometry and data-driven classification

Premenstrual dysphoric disorder (PMDD) is a female-specific condition classified in the Diagnostic and Statical Manual-5th edition under depressive disorders. Alterations in grey matter volume, cortical thickness and folding metrics have been associated with a number of mood disorders, though little is known regarding brain morphological alterations in PMDD. Here, women with PMDD and healthy controls underwent magnetic resonance imaging (MRI) during the luteal phase of the menstrual cycle. Differences in grey matter structure between the groups were investigated by use of voxel- and surface-based morphometry. Machine learning and multivariate pattern analysis were performed to test whether MRI data could distinguish women with PMDD from healthy controls. Compared to controls, women with PMDD had smaller grey matter volume in ventral posterior cortices and the cerebellum (Cohen's d = 0.45-0.76). Region-of-interest analyses further indicated smaller volume in the right amygdala and putamen of women with PMDD (Cohen's d = 0.34-0.55). Likewise, thinner cortex was observed in women with PMDD compared to controls, particularly in the left hemisphere (Cohen's d = 0.20-0.74). Classification analyses showed that women with PMDD can be distinguished from controls based on grey matter morphology, with an accuracy up to 74%. In line with the hypothesis of an impaired top-down inhibitory circuit involving limbic structures in PMDD, the present findings point to PMDD-specific grey matter anatomy in regions of corticolimbic networks. Furthermore, the results include widespread cortical and cerebellar regions, suggesting the involvement of distinct networks in PMDD pathophysiology.

Brain Activation During Processing of Depression Emotion in College Students With Premenstrual Syndrome in China: Preliminary Findings

BACKGROUND

This study aimed to investigate the neural substrates of processing depression emotion in premenstrual syndrome (PMS) and healthy subjects of college students using blood oxygenation level-dependent functional magnetic resonance imaging (BOLD-fMRI).

METHODS

During BOLD-fMRI scanning, 13 PMS patients and 15 healthy controls (HC) performed a picture visual stimulation task during luteal and follicular phases, in which participants and HC were asked to see pictures containing depression and non-depression emotions. Simultaneously, self-rating depression scales (SDS) were employed to evaluate the emotional status of participants.

RESULTS

Compared to HC, right inferior occipital gyrus, right middle occipital gyrus, right lingual gyrus, right fusiform gyrus, right inferior temporal gyrus, cerebelum_crus1_R, cerebelum_6_R, culmen, the cerebellum anterior lobe, tuber, and cerebellar tonsil of PMS patients showed enhanced activation. In contrast, sub-lobar, sub-gyral, extra-nuclear, right orbit part of superior frontal gyrus, right middle temporal gyrus, right orbit part of inferior frontal gyrus, limbic lobe, right insula, bilateral anterior and adjacent cingulate gyrus, bilateral caudate, caudate head, bilateral putamen, and left globus pallidus exhibited decreased activation.

CONCLUSION

The findings indicate that abnormal functional regulation of brain regions such as occipital lobe and cerebellum leads to abnormal changes in emotional regulation, cognitive ability, and attention distribution in PMS patients, implying significant central pathogenesis.

Suicidality in patients with premenstrual dysphoric disorder-A systematic review and meta-analysis

BACKGROUND

Whether premenstrual dysphoric disorder (PMDD) is correlated with the risk of suicidality and the extent of its effect on suicidality are unclear. The present study was conducted to elucidate the association between PMDD and suicidality from relevant studies.

METHODS

Four electronic databases, namely, Scopus, Embase, PubMed, and Web of Science, were searched from inception to November 15, 2020. Quality assessment, data synthesis, and sensitivity analysis were performed on the included studies.

RESULTS

Six studies with 8 532 participants were included in this meta-analysis. PMDD was associated with an increased risk of suicidal ideation (odds ratio [OR]=2.34, 95% confidence interval [CI]=1.50-3.18, I²=0.0%, p=0.99, k=4). Patients with PMDD had a greater risk of experiencing suicide attempt (OR=2.13, 95% CI=1.05-3.21, I²=0.0%, p=0.81, k=5). PMDD was associated with an increased risk of suicidal plan (OR=2.24, 95% CI=1.03-3.45, I²=0.0%, p=0.96, k=2).

LIMITATIONS

The diagnosis of PMDD should be considered "provisional" in all the included studies.

CONCLUSIONS

Among PMDD sufferers there would be a group of particularly suicidal women. Clinicians who treat patients with PMDD should be vigilant for signs of suicidal ideation and behavior to implement better treatment and preventive measures.

Steroid Hormone Sensitivity in Reproductive Mood Disorders: On the Role of the GABAA Receptor Complex and Stress During Hormonal Transitions

Women worldwide are two to three times more likely to suffer from depression in their lifetime than are men. Female risk for depressive symptoms is particularly high during the reproductive years between menarche and menopause. The term “Reproductive Mood Disorders” refers to depressive disorders triggered by hormonal fluctuations during reproductive transitions including the perimenarchal phase, the pre-menstrual phase, pregnancy, the peripartum period and the perimenopausal transition.

Here we focus on reproductive mood disorders manifesting in adult life. We propose a research agenda that draws together several reproductive mood disorders and investigates which genetic, endocrinological, neural, and psychosocial factors can explain depressive symptoms during phases of hormonal transitions in women. Based on current research it is assumed that some women experience an increased sensitivity to not only fluctuations in reproductive steroids (estrogen and progesterone), but also stress-related steroids. We integrate both dynamics into the concept of “steroid hormone sensitivity,” expanding on the concept of “reproductive hormone sensitivity.” We suggest that a differential response of the stress steroid system including corticosteroids, neurosteroids, like allopregnanolone and the GABA-A Receptor complex, as well as a differential (epi)genetic risk in serotonergic and GABAergic signaling, are moderators or mediators between changes in the reproductive steroid system and the physiological, affective, and cognitive outcomes manifesting in reproductive mood disorders. We point to the lack of research on the role of psychosocial factors in increasing a woman's stress level and at some point also the sensitivity of her stress steroid system within the etiology of Reproductive Mood Disorders.

Drawing together the evidence on various reproductive mood disorders we seek to present a basis for the development of more effective pharmacological, social, and psychological treatment interventions and prevention strategies for women susceptible to these disorders. This could pave the way for new research as well as medical and psychological teaching and practice- such as a new type of Practice for Gynecological Psychoneuroendocrinology- with the aim of working on and ultimately offering more integrative forms of support not yet available to women suffering from depression during hormonal transitions. In medical history women have been left alone with this integrative challenge.

Neuroimaging premenstrual dysphoric disorder: A systematic and critical review

Endocrine organizational and activational influences on cognitive and affective circuits are likely critical to the development of premenstrual dysphoric disorder (PMDD), a sex-specific hormone-dependent mood disorder. An overview of the anatomical and functional neural characterization of this disorder is presented here by means of neuroimaging correlates, identified from eighteen publications (n = 361 subjects). While white matter integrity remains uninvestigated, greater cerebellar grey matter volume and metabolism were observed in patients with PMDD, along with altered serotonergic and GABAergic neurotransmission. Differential corticolimbic activation in response to emotional stimuli distinguishes the PMDD brain, namely enhanced amygdalar and diminished fronto-cortical function. Thus far, the emotional distress and dysregulation linked to PMDD seem to be defined by structural, chemical and functional brain signatures; however, their characterization remains sparsely studied and somewhat inconsistent. Clear and well-replicated neurobiological features of PMDD are needed to promote timely diagnoses and inform development of prevention and treatment strategies.

Altered brain structure in women with premenstrual syndrome

BACKGROUND

Functional brain abnormalities have been noted in premenstrual syndrome (PMS). However, the brain structural alterations related to PMS remain unclear. This study aimed to identify possible abnormalities in gray matter (GM) volumes and structural covariance patterns among PMS patients.

METHODS

Structural magnetic resonance imaging data were obtained from 20 PMS patients and 20 healthy controls. Voxel-based morphometry (VBM) analysis was applied to examine GM volumes changes between the two groups. Receiver operating characteristic (ROC) curve was used to investigate the most reliable biomarker for distinguishing PMS patients from health controls based on the intergroup differences. Correlation analysis was then performed to assess relationships between the daily rating of severity of problems (DRSP) and abnormal brain regions. Finally, the regions identified from VBM analysis were served as seeds to characterize the whole-brain structural covariance patterns.

RESULTS

Compared with healthy controls, PMS patients showed increased GM volumes in the precuneus/posterior cingulate cortex (precuneus/PCC) and thalamus, and decreased GM volumes in the insula. The precuneus/PCC exhibited the highest classification power by ROC analysis and positively correlated with the DRSP. Moreover, different patterns of structural covariance in the two groups were mainly located in the dorsolateral prefrontal cortex, anterior cingulate cortex, angular gyrus and hippocampus.

LIMITATIONS

This study is limited by a small sample and narrow age range of participants.

CONCLUSIONS

Our findings may provide preliminary evidence for brain morphology alterations in PMS patients and contribute to a better understanding of the pathophysiology of PMS.

Reproducibility of hormone-driven regional grey matter volume changes in women using SPM8 and SPM12

Aim of this work was to evaluate the reproducibility of hormone driven regional grey matter volume differences in women, and their correlations with premenstrual symptoms, as determined by voxel-based morphometry (VBM). After data quality control, a total of 138 T1-weighted MR images were included in this longitudinal study, and were analyzed as three different subgroups. Women with a natural menstrual cycle were scanned at three time-points: follicular, ovulatory and luteal phase. Two groups of women, using androgenic and anti-androgenic hormonal contraceptives, respectively, were scanned twice: during the pill-free week and during pill intake. Additionally, subjects were asked to complete a "daily rating of severity of problems" questionnaire, to quantify premenstrual symptoms. All data were analyzed using SPM8 and SPM12 with identical parameter settings. In the natural menstrual cycle group, the regional grey matter volume of the insula is larger at ovulation, as compared to the luteal phase. Premenstrual symptoms correlate differently with regional grey matter volumes between women with a natural cycle and hormonal contraceptive users. Changes in hormonal environment can to various extents affect VBM findings in women. We suggest that researchers take these confounding factors into account while applying this technique, to avoid heterogeneity in data acquisition and to safeguard the sensitivity of findings. Additionally, we suggest validating the consistency of results using more than one software package.

Premenstrual Dysphoric Disorder: Epidemiology and Treatment

Recently designated as a disorder in the DSM-5, premenstrual dysphoric disorder (PMDD) presents an array of avenues for further research. PMDD's profile, characterized by cognitive-affective symptoms during the premenstruum, is unique from that of other affective disorders in its symptoms and cyclicity. Neurosteroids may be a key contributor to PMDD's clinical presentation and etiology, and represent a potential avenue for drug development. This review will present recent literature on potential contributors to PMDD's pathophysiology, including neurosteroids and stress, and explore potential treatment targets.

Neuroimaging the Menstrual Cycle and Premenstrual Dysphoric Disorder

Knowledge of gonadal hormone-related influences on human brain anatomy, function, and chemistry is scarce. The present review scrutinized organizational and functional neuroimaging correlates of the menstrual cycle and premenstrual dysphoric disorder (PMDD). Supportive evidence of cyclic short-term structural and functional brain plasticity in response to gonadal hormonal modulation is provided. The paucity of studies, sparsity and discordance of findings, and weaknesses in study design at present hinder the drawing of firm conclusions. Ideal study designs should comprise high-resolution multimodal neuroimaging (e.g., MRI, DTI, rs-fMRI, fMRI, PET), hormones, genetic, and behavioral longitudinal assessments of healthy women and PMDD patients at critical time points of the menstrual cycle phase (i.e., early follicular phase, late follicular phase, mid-luteal phase) in a counter-balanced setup. Studies integrating large-scale brain network structural, functional, and molecular neuroimaging, as well as treatment data, will deepen the understanding of neural state, disorder, and treatment markers.

Treatment of premenstrual dysphoric disorder

Premenstrual dysphoric disorder (PMDD) is comprised of a cluster of affective, behavioral and somatic symptoms recurring monthly during the luteal phase of the menstrual cycle. The disorder affects 3-8% of menstruating women and represents the more severe and disabling end of the spectrum of premenstrual disorders, which includes premenstrual syndrome and premenstrual aggravation of underlying affective disorder. Rigorous and specific diagnostic criteria for PMDD were specified in the Diagnostic and Statistical Manual of Mental Disorders IV (1994) and reaffirmed in the Diagnostic and Statistical Manual of Mental Disorders V (2013) and, consequently, there has been a marked increase in well-designed, placebo-controlled studies evaluating treatment modalities. Although the exact pathogenesis of PMDD is still elusive, treatment of PMDD and severe premenstrual syndrome has centered on neuromodulation via serotonin reuptake inhibitor antidepressants, and ovulation suppression utilizing various contraceptive and hormonal preparations. Unlike the approach to the treatment of depression, serotonergic antidepressants need not be given daily, but can be effective when used cyclically, only in the luteal phase or even limited to the duration of the monthly symptoms. Less, well-substantiated alternative treatments, such as calcium supplementation, agnus castus (chasteberry), Hypericum perforatum (St John's wort) and cognitive/behavioral/relaxation therapies, may be useful adjuncts in the treatment of PMDD. This review provides an overview of current information on the treatment of PMDD.

The Cerebellum and Premenstrual Dysphoric Disorder

The cerebellum constitutes ten percent of brain volume and contains the majority of brain neurons. Although it was historically viewed primarily as processing motoric computations, current evidence supports a more comprehensive role, where cerebro-cerebellar feedback loops also modulate various forms of cognitive and affective processing. Here we present evidence for a role of the cerebellum in premenstrual dysphoric disorder (PMDD), which is characterized by severe negative mood symptoms during the luteal phase of the menstrual cycle. Although a link between menstruation and cyclical dysphoria has long been recognized, neuroscientific investigations of this common disorder have only recently been explored. This article reviews functional and structural brain imaging studies of PMDD and the similar but less well defined condition of premenstrual syndrome (PMS). The most consistent findings are that women with premenstrual dysphoria exhibit greater relative activity than other women in the dorsolateral prefrontal cortex and posterior lobules VI and VII of the neocerebellum. Since both brain areas have been implicated in emotional processing and mood disorders, working memory and executive functions, this greater activity probably represents coactivation within a cerebro-cerebellar feedback loop regulating emotional and cognitive processing. Some of the evidence suggests that increased activity within this circuit may preserve cerebellar structure during aging, and possible mechanisms and implications of this finding are discussed.

Premenstrual dysphoric disorder and prefrontal reactivity during anticipation of emotional stimuli

Premenstrual disorder (PMDD) affects around 5% of women in childbearing ages. An increased sensitivity in emotion processing areas of the brain to variations in ovarian steroid levels has been suggested as part of the pathophysiology in PMDD, but prior neuroimaging studies of emotion processing are yet inconclusive. Previous behavioral studies of women with PMDD have, however, reported enhanced luteal phase startle responsivity during emotional anticipation. Here we used functional magnetic resonance imaging (fMRI) to investigate central neural circuitry activity during anticipation of, and exposure to, emotional stimuli across the menstrual cycle in women with and without PMDD. As compared to healthy controls, women with PMDD displayed significantly enhanced reactivity in the prefrontal cortex during anticipation of, but not exposure to, negative emotional stimuli during the luteal phase. In PMDD patients, BOLD reactivity during anticipation or viewing of negative emotional stimuli was not dependent on absolute levels of estradiol or progesterone. However, progesterone levels were positively correlated with emotion-induced reactivity in the dorsolateral prefrontal cortex to positive emotional stimuli. These findings suggest that cortical emotional circuitry reactivity during anticipation is altered in PMDD during the luteal phase, which might be part of the pathophysiology behind the emotional symptoms or lack of emotional control reported by women with PMDD.