Working memory deficit in premenstrual dysphoric disorder and its associations with difficulty in concentrating and irritability

The behavioral and physiological correlates of affective mood switching in premenstrual dysphoric disorder

Premenstrual dysphoric disorder (PMDD), a more severe manifestation of premenstrual syndrome (PMS), is characterized by emotional, behavioral, and physical symptoms that begin in the mid-to-late luteal phase of the menstrual cycle, when estradiol and progesterone levels precipitously decline, and remit after the onset of menses. Remotely monitoring physiologic variables associated with PMDD depression symptoms, such as heart rate variability (HRV), sleep, and physical activity, holds promise for developing an affective state prediction model. Switching into and out of depressive states is associated with an increased risk of suicide, and therefore, monitoring periods of affective switching may help mitigate risk. Management of other chronic health conditions, including cardiovascular disease and diabetes, has benefited from remote digital monitoring paradigms that enable patients and physicians to monitor symptoms in real-time and make behavioral and medication adjustments. PMDD is a chronic condition that may benefit from real-time, remote monitoring. However, clinical practice has not advanced to monitoring affective states in real-time. Identifying remote monitoring paradigms that can detect within-person affective state change may help facilitate later research on timely and efficacious interventions for individuals with PMDD. This narrative review synthesizes the current literature on behavioral and physiological correlates of PMDD suitable for remote monitoring during the menstrual cycle. The reliable measurement of heart rate variability (HRV), sleep, and physical activity, with existing wearable technology, suggests the potential of a remote monitoring paradigm in PMDD and other depressive disorders.

Reproducible stability of verbal and spatial functions along the menstrual cycle

Recent studies have reported brain changes in response to ovarian hormonal fluctuations along the menstrual cycle. However, it remains unclear, whether these brain changes are of an adaptive nature or whether they are linked to changes in behavior along the menstrual cycle, particularly with respect to cognitive performance. To address this knowledge gap, we report results from 3 well-powered behavioral studies with different task designs, leveraging the advantages of each design type. In all three studies we assessed whether verbal or spatial performance (i) differed between cycle phases, (ii) were related to estradiol and / or progesterone levels and (iii) were moderated by individual hormone sensitivity as estimated by premenstrual symptoms. Overall, results of all three studies point towards a null effect of menstrual cycle phase and - to a lesser extent - ovarian hormones on verbal and spatial performance and provided no evidence for a moderation of this effect by individual hormone sensitivity. We conclude that there is substantial consistency in verbal and spatial performance across the menstrual cycle, and that future studies of intra-individual variation are needed.

Cerebral response to emotional working memory based on vocal cues: an fNIRS study

Introduction

Humans mainly utilize visual and auditory information as a cue to infer others' emotions. Previous neuroimaging studies have shown the neural basis of memory processing based on facial expression, but few studies have examined it based on vocal cues. Thus, we aimed to investigate brain regions associated with emotional judgment based on vocal cues using an N-back task paradigm.

Methods

Thirty participants performed N-back tasks requiring them to judge emotion or gender from voices that contained both emotion and gender information. During these tasks, cerebral hemodynamic response was measured using functional near-infrared spectroscopy (fNIRS).

Results

The results revealed that during the Emotion 2-back task there was significant activation in the frontal area, including the right precentral and inferior frontal gyri, possibly reflecting the function of an attentional network with auditory top-down processing. In addition, there was significant activation in the ventrolateral prefrontal cortex, which is known to be a major part of the working memory center.

Discussion

These results suggest that, compared to judging the gender of voice stimuli, when judging emotional information, attention is directed more deeply and demands for higher-order cognition, including working memory, are greater. We have revealed for the first time the specific neural basis for emotional judgments based on vocal cues compared to that for gender judgments based on vocal cues.

Irritability Moderates the Association between Cognitive Flexibility Task Performance and Related Prefrontal Cortex Activation in Young Children

The association between cognitive flexibility and related neural functioning has been inconsistent. This is particularly true in young children, where previous studies have found heterogenous results linking behavior and neural function, raising the possibility of unexplored moderators. The current study explored the moderating role of dimensional irritability in the association between cognitive flexibility task performance and prefrontal activation in young children. A total of 106 3- to 7-year-old children were recruited to complete a custom-designed, child-adapted, cognitive flexibility task, and 98 of them were included in the data analysis. The children's dorsolateral prefrontal cortex activation was monitored using functional near-infrared spectroscopy, and their levels of irritability were reported by parents using the MAP-DB Temper Loss subscale. Results indicated that the mean reaction time of the cognitive flexibility task was negatively correlated with concurrent prefrontal activation. No evidence was found for the association between task accuracy and prefrontal activation. Moreover, irritability moderated the association between the mean reaction time and prefrontal activation. Children high in irritability exhibited a stronger negative association between the mean reaction time and related prefrontal activation than children low in irritability. The moderating model suggested a novel affective-cognitive interaction to investigate the associations between cognitive task performance and their neural underpinnings.

Attention, response inhibition, impulsivity, and decision-making within luteal phase in women with premenstrual dysphoric disorder

Cognitive impairment is a key feature of depressive disorder. Various forms of cognitive function have yet to be investigated in women with premenstrual dysphoric disorder (PMDD) during early luteal (EL) and late luteal (LL) phases. Therefore, we evaluated response inhibition and attention in PMDD in these two phases. We also examined the associations between cognitive functions, impulsivity, decision-making style, and irritability. There is a total of 63 female participants with PMDD and 53 controls, as determined through psychiatric diagnostic interviewing and a weekly symptoms checklist. The participants completed a Go/No-go task, Dickman's impulsivity inventory, Preference for Intuition and Deliberation scale, and the Buss-Durkee Hostility Inventory: Chinese Version-Short Form at the EL and LL phases. The women with PMDD had poorer attention in the Go trials at the LL phase and poorer response inhibition in the No-go trials at the EL and LL phases. Repeated measures analysis of variance revealed an LL exacerbation of deficit in attention among PMDD group. In addition, impulsivity negatively correlated with response inhibition at the LL phase. Preference for deliberation correlated with attention at the LL phase. Women with PMDD experienced LL declined attention and impaired response inhibition across the luteal phase. Response inhibition is linked to impulsivity. The deficit in attention links preference for deliberation among women with PMDD. These results reveal the different courses in different domains of cognitive impairment in PMDD. Further studies are required to elucidate the mechanism underlying cognitive dysfunction in PMDD.

The effect of peer education compared to education provided by healthcare providers on premenstrual syndrome in high school students: A social network-based quasi-experimental controlled trial

AIM

This study aimed to compare the effect of peer education and education provided by healthcare providers on PMS in high school students.

MATERIALS AND METHODS

This quasi-experimental non-randomized controlled trial with a three-armed parallel design was performed on 90 students allocated in three groups, namely, education by peer (intervention group 1 = 30), education by a healthcare provider (intervention group 2 = 30), and a control group (n = 30). The primary outcome was a change in the score of PMS, and the secondary outcomes were changes in the general health score and the frequency of premenstrual dysphoric disorder (PMDD). Education about PMS management was held in WhatsApp messenger in six sessions (two sessions per week) for both intervention groups. All three groups received routine school counseling. The researchers applied repeated-measures ANCOVA, McNemar, and post-hoc Bonferroni tests.

RESULTS

Education in intervention group 1 (Partial Eta Squared = 0.67, p < 0.0001) and intervention group 2 (Partial Eta Squared = 0.82, p < 0.0001) significantly reduced the PMS score compared to the control group. In addition, the change in general health score in the intervention groups compared to the control group showed the effectiveness of the intervention (p < 0.001). Education did not significantly reduce PMDD frequency in the intervention groups compared to the control group (p > 0.05).

CONCLUSION

This study suggests education by peers and healthcare providers effects on PMS and general health in adolescents. It suggested that the effectiveness of these approaches be investigated in other adolescents' health conditions.

Early and Late Luteal Executive Function, Cognitive and Somatic Symptoms, and Emotional Regulation of Women with Premenstrual Dysphoric Disorder

Objective: Cognitive and somatic symptoms were vital factors in developing personalized treatment of depressive disorder. The study aimed to evaluate the following: (1) the cognitive and somatic symptoms of premenstrual dysphoric disorder (PMDD) in the early luteal (EL) and later luteal (LL) phase; and (2) their association with depression and functional impairment of PMDD. Methods: We prospectively evaluated executive function, emotion regulation, cognitive and somatic symptoms, and depression in the EL and LL phases in women with PMDD. Sixty-three women with PMDD and 53 healthy controls completed Simon’s task and questionnaire to assess emotion regulation, inattention, fatigue, insomnia, and depression. Results: Women with PMDD had a poor performance in Simon’s task during the LL phase. They were less likely to exercise cognitive reappraisal during EL and LL phases. Their cognitive reappraisal positively correlated with executive function and negatively associated with depression. In the LL phase, they also experience higher inattention, insomnia, and fatigue, which correlate with the depression and functional impairment of PMDD. Inattention is the most associated factor of PMDD and functional impairment in controlling depression. Conclusion: Executive function was impaired in women with PMDD during the LL phase. Its performance correlated positively with emotion regulation and negatively with depression. The association between inattention and PMDD functional impairment indicates that evaluation and intervention for cognitive impairment were essential in treating women with PMDD. Further studies were required to elucidate the possible etiology underlying these associations.

Cognitive function evaluation in premenstrual syndrome during the follicular and luteal phases using near-infrared spectroscopy

Background

Many adult females experience periodic mental and physical symptoms associated with premenstrual syndrome (PMS). Diagnosis of PMS is generally based on self-reported symptoms over several menstrual cycles, but there are concerns about its accuracy and duration. It is well known that decreased cognitive function is one of the symptoms of PMS. Near-infrared spectroscopy (NIRS) is one of the methods for imaging brain activity, similar to magnetic resonance imaging (MRI), electroencephalography (EEG), and positron emission tomography (PET). NIRS has been used to assess cognitive function decline demonstrated by decline in brain activity. However, to the best of our knowledge, there have been no report characterizing brain activity pattern in females with PMS during the luteal and follicular phases separately.

Objective

We aimed to characterize the cognitive function of females with PMS during the follicular and luteal phases using NIRS.

Methods

The level of brain activity in the prefrontal cortex was detected with NIRS while PMS women were performing cognitive tasks. NIRS detected brain activity by measuring the oxy-hemoglobin and deoxy-hemoglobin levels. Participants were females between the ages of 20 and 25 with PMS (n = 11) and without PMS (n = 11). During the participants’ follicular and luteal phases, the participants were asked to perform the cognitive task; an N-back task (0-, 1-, and 2-back tasks), which is widely used for assessing cognitive function. We also calculated the oxyhemoglobin integral value during the N-back task using the NIRS signal; this value represented the total amount of change in cerebral oxyhemoglobin and the brain activation level.

Results

The correct response rate on the 2-back task was significantly lower during both the follicular and luteal phases in females with PMS compared to that in females without PMS (P = 0.01; P = 0.02, during the follicular and luteal phases, respectively). During the luteal phase, brain activation was significantly lower in participants with PMS than in that in females without PMS (P = 0.04). In addition, during the luteal phase, the participants with PMS also had higher negative mood than those without PMS.

Conclusion

The cognitive decline during the luteal phase in participants with PMS was detected by NIRS with significant differences from participants without PMS. The difference was observed only during the luteal phase, not in the follicular phase and were related to the increase in negative mood. These results may provide an objective method for diagnosing PMS based on brain activity. We believe that the use of instruments (e.g., NIRS, MRI, EEG … etc.) to detect cognitive function decline will lead to rapid and reliable diagnosis of PMS and premenstrual dysphoric disorder.

Melatonin for premenstrual syndrome: A potential remedy but not ready

Premenstrual syndrome (PMS), a recurrent and moderate disorder that occurs during the luteal phase of the menstrual cycle and quickly resolves after menstruation, is characterized by somatic and emotional discomfort that can be severe enough to impair daily activities. Current therapeutic drugs for PMS such as selective serotonin reuptake inhibitors are not very satisfying. As a critical pineal hormone, melatonin has increasingly been suggested to modulate PMS symptoms. In this review, we update the latest progress on PMS-induced sleep disturbance, mood changes, and cognitive impairment and provide possible pathways by which melatonin attenuates these symptoms. Moreover, we focus on the role of melatonin in PMS molecular mechanisms. Herein, we show that melatonin can regulate ovarian estrogen and progesterone, of which cyclic fluctuations contribute to PMS pathogenesis. Melatonin also modulates gamma-aminobutyric acid and the brain-derived neurotrophic factor system in PMS. Interpreting the role of melatonin in PMS is not only informative to clarify PMS etiology but also instructive to melatonin and its receptor agonist application to promote female health. As a safe interaction, melatonin treatment can be effective in alleviating symptoms of PMS. However, symptoms such as sleep disturbance, depressive mood, cognitive impairment are not specific and can be easily misdiagnosed. Connections between melatonin receptor, ovarian steroid dysfunction, and PMS are not consistent among past studies. Before final conclusions are drawn, more well-organized and rigorous studies are recommended.

Patterns of premenstrual syndrome and depression symptoms in Chinese female university students: Results of a latent profile analysis

BACKGROUND

Premenstrual syndrome (PMS) and depression co-occur frequently; however, their relationship remains controversial. This study was conducted primarily to discern heterogeneous patterns of such co-occurring symptoms in Chinese female university students, using a latent profile analysis (LPA), a person-centered statistical approach.

METHODS

The PMS Scale and Beck Depression Inventory were used to examine self-reported PMS and depression symptoms in 701 Chinese female university students. LPA, multinomial logistical regression, and analyses of variance were adopted to investigate latent profiles and their validity.

RESULTS

The LPA results indicated that a four-class solution characterized by low symptoms (57.2%), predominantly PMS (11.3%), predominantly depression (23.7%), and combined PMS-depression (7.8%) patterns fitted the data best. Age, first menstrual experience, and personality factors were associated with differences in nonparallel profiles characteristic of menstrual attitude.

LIMITATIONS

Use of self-report measures can lead to response biases; the cross-sectional design at a single time point limits the examination of changes in symptom characteristics and members within the category over time; and the specific age group limits the generalizability of results.

CONCLUSION

These results confirm that PMS is independent from depression, rather than a variant of depression, and can be used to resolve the controversy regarding the relationship between PMS and depression. The current findings highlight the need for identifying women at high risk for PMS and depression, and promoting interventions individually tailored to their symptom presentations.

Cognition, The Menstrual Cycle, and Premenstrual Disorders: A Review

Sex hormones, such as estrogens, progesterone, and testosterone, have a significant influence on brain, behavior, and cognitive functioning. The menstrual cycle has been a convenient model to examine how subtle fluctuations of these hormones can relate to emotional and cognitive functioning. The aim of the current paper is to provide a narrative review of studies investigating cognitive functioning in association with the menstrual cycle in biological females, with a focus on studies that have investigated cognitive functioning across the menstrual cycle in females with premenstrual mood disorders, such as premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD). In line with previous reviews, the current review concluded that there is a lack of consistent findings regarding cognitive functioning across the menstrual cycle. Most studies focused on changes in levels of blood estrogen, and neglected to explore the role of other hormones, such as progesterone, on cognitive functioning. Cognitive research involving premenstrual disorders is in its infancy, and it remains unclear whether any cognitive disturbances that are identified may be attributed to negative experience of mood and psychological symptoms or be a more direct effect of hormonal dysregulation or sensitivity. Suggestions for future research are provided.

Cognition, Mood and Sleep in Menopausal Transition: The Role of Menopause Hormone Therapy

During the menopausal transition, which begins four to six years before cessation of menses, middle-aged women experience a progressive change in ovarian activity and a physiologic deterioration of hypothalamic-pituitary-ovarian axis function associated with fluctuating hormone levels. During this transition, women can suffer symptoms related to menopause (such as hot flushes, sleep disturbance, mood changes, memory complaints and vaginal dryness). Neurological symptoms such as sleep disturbance, "brain fog" and mood changes are a major complaint of women transitioning menopause, with a significant impact on their quality of life, productivity and physical health. In this paper, we consider the associations between menopausal stage and/or hormone levels and sleep problems, mood and reduced cognitive performance. The role of estrogen and menopause hormone therapy (MHT) in cognitive function, sleep and mood are also discussed.

Progesterone and human cognition

Progesterone is a neurosteroid and a neuroactive steroid, produced primarily by the corpus luteum and the placenta. In some animal models, progesterone affects cognitive performance, and its potential role in human cognition is especially germane to women. This role can be investigated through associations between peripheral concentrations of progesterone in blood or saliva and neuropsychological test results, through differences in cognitive profiles between women using menopausal hormone therapy with and without a progestogen, and through clinical trials. In naturally cycling reproductive-age women and pregnant women, there is no consistent relation between progesterone levels and cognition. In postmenopausal women within 6 years of menopause and not using hormone therapy, progesterone levels are positively associated with verbal memory and global cognition, but reported associations in older postmenopausal women are null. Some observational studies of postmenopausal women using hormone therapy raise concern of a small deleterious cognitive effect of progestogen (medroxyprogesterone acetate was most often reported in these studies), but this association may due to confounding factors. Small, short-term clinical trials of progesterone show no meaningful effect on cognition. The quality of evidence is low, but overall findings do not reveal consistent, clinically important effects of progesterone on cognitive function in women.

Steroid Hormones and Their Action in Women's Brains: The Importance of Hormonal Balance

Sex hormones significantly impact women's lives. Throughout the different stages of life, from menarche to menopause and all stages in between, women experience dramatic fluctuations in the levels of progesterone and estradiol, among other hormones. These fluctuations affect the body as a whole, including the central nervous system (CNS). In the CNS, sex hormones act via steroid receptors. They also have an effect on different neurotransmitters such as GABA, serotonin, dopamine, and glutamate. Additionally, studies show that sex hormones and their metabolites influence brain areas that regulate mood, behavior, and cognitive abilities. This review emphasizes the benefits a proper hormonal balance during the different stages of life has in the CNS. To achieve this goal, it is essential that hormone levels are evaluated considering a woman's age and ovulatory status, so that a correct diagnosis and treatment can be made. Knowledge of steroid hormone activity in the brain will give women and health providers an important tool for improving their health and well-being.

Prevalence and association of premenstrual syndrome and premenstrual dysphoric disorder with academic performance among female university students

BACKGROUND

Premenstrual dysphoric disorder (PMDD) is particularly a female psychological disorder that has consequences on female students' behavior, cognitive abilities, mental health status, and academic performance.

PURPOSE

To examine the prevalence of premenstrual syndrome (PMS) and PMDD, and their relationship with academic performance among female university students in Jordan.

METHOD

Prospective-correlational design was employed among 858 university students. Data collected in regards to daily record of signs of PMDD and PMS, academic motivation, and student's involvement.

RESULTS

Prevalence of PMS was 92.3% and that of PMDD was 7.7%. There were significant differences in self-determination levels between students with PMS and those with PMDD.

CONCLUSION

PMDD symptoms have a negative impact on female students' academic performance; thus, mental health professionals have a major role in determining factors that buffer severity of PMDD among females.

Exploring premenstrual dysphoric disorder (PMDD) in the work context: a qualitative study

This study aims to explore women's experience of premenstrual dysphoric disorder (PMDD) in the workplace, and identify if organizations can do anything to help. Analysis of 15 semi-structured interviews, using an inductive thematic analysis approach, revealed the most common symptoms women experience at work include difficulty in concentrating, self-doubt, paranoia, fatigue, tearfulness, a heightened sensitivity to the environment and people, outbursts, and finding social interaction particularly difficult during this premenstrual "episode" phase. It is these symptoms that contribute to observed presenteeism and absenteeism in the work context. After symptoms disappear (with onset of menstruation), women reported feelings of guilt and engage in over-compensatory behaviors such as working longer hours and taking work home during the remainder of the menstrual cycle (i.e. post-episode phase). Women alternate between these phases every month, which over time, accumulate and have additional consequences. Women are leaving the workforce through voluntary and/or involuntary turnover, sometimes giving up on careers entirely. The interviews also highlighted that organizations need greater awareness and support mechanisms in place for helping female employees with this condition. These findings could be of interest and have relevance to researchers, employers, policymakers, and health professionals.

Increased illness burden in women with comorbid bipolar and premenstrual dysphoric disorder: data from 1 099 women from STEP-BD study

BACKGROUND

The impact of comorbid premenstrual dysphoric disorder (PMDD) in women with bipolar disorder (BD) is largely unknown.

AIMS

We compared illness characteristics and female-specific mental health problems between women with BD with and without PMDD.

MATERIALS & METHODS

A total of 1 099 women with BD who participated in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) were studied. Psychiatric diagnoses and illness characteristics were assessed using the Mini International Neuropsychiatric Interview. Female-specific mental health was assessed using a self-report questionnaire developed for STEP-BD. PMDD diagnosis was based on DSM-5 criteria.

RESULTS

Women with comorbid BD and PMDD had an earlier onset of bipolar illness (P < 0.001) and higher rates of rapid cycling (P = 0.039), and increased number of past-year hypo/manic (P = 0.003), and lifetime/past-year depressive episodes (P < 0.05). Comorbid PMDD was also associated with higher proportion of panic disorder, post-traumatic stress disorder, generalized anxiety disorder, bulimia nervosa, substance abuse, and adult attention deficit disorder (all P < 0.05). There was a closer gap between BD onset and age of menarche in women with comorbid PMDD (P = 0.003). Women with comorbid PMDD reported more severe mood symptoms during the perinatal period and while taking oral contraceptives (P < 0.001).

DISCUSSION

The results from this study is consistent with research suggesting that sensitivity to endogenous hormones may impact the onset and the clinical course of BD.

CONCLUSIONS

The comorbidity between PMDD and BD is associated with worse clinical outcomes and increased illness burden.

Subtle persistent working memory and selective attention deficits in women with premenstrual syndrome

As a recurrent, cyclical phenomenon, premenstrual syndrome (PMS) affects a significant proportion of women of the reproductive age, and leads to regular monthly days of functional impairment. Symptoms of PMS include somatic and psychological symptoms, such as headaches, sleep disturbances, social withdrawal and mood changes, during the late luteal phase of the menstrual cycle, which alleviate during the follicular phase. This study investigated neurocognitive functioning in women with moderate to severe PMS symptoms (n=13) compared to women with mild/no PMS (n=27) through administration of a battery of neuropsychological tests during the asymptomatic follicular phase of the menstrual cycle. Relative to women with mild/no PMS symptoms, women with moderate to severe PMS showed significantly poorer accuracy and more errors of omission on the N-0-back, as well as more errors of omission on the N-2-back task, indicating the presence of impairment in selective attention and working memory. This study provides evidence of persistent, subtle working memory and selective attention difficulties in those with moderate to severe PMS during the follicular phase of the menstrual cycle.

Sex hormones affect neurotransmitters and shape the adult female brain during hormonal transition periods

Sex hormones have been implicated in neurite outgrowth, synaptogenesis, dendritic branching, myelination and other important mechanisms of neural plasticity. Here we review the evidence from animal experiments and human studies reporting interactions between sex hormones and the dominant neurotransmitters, such as serotonin, dopamine, GABA and glutamate. We provide an overview of accumulating data during physiological and pathological conditions and discuss currently conceptualized theories on how sex hormones potentially trigger neuroplasticity changes through these four neurochemical systems. Many brain regions have been demonstrated to express high densities for estrogen- and progesterone receptors, such as the amygdala, the hypothalamus, and the hippocampus. As the hippocampus is of particular relevance in the context of mediating structural plasticity in the adult brain, we put particular emphasis on what evidence could be gathered thus far that links differences in behavior, neurochemical patterns and hippocampal structure to a changing hormonal environment. Finally, we discuss how physiologically occurring hormonal transition periods in humans can be used to model how changes in sex hormones influence functional connectivity, neurotransmission and brain structure in vivo.

The effect of serotonin 1A receptor polymorphism on the cognitive function of premenstrual dysphoric disorder

Estrogen and serotonin play vital roles in the mechanism of premenstrual dysphoric disorder (PMDD). Cognitive deficit in the premenstrual phase contributes to impaired life function among women with PMDD. The aim of this study was to evaluate the difficulties in cognitive control and working memory (WM) in PMDD and to explore the effects of gonadotropic hormone and polymorphism of serotonin 1A receptor (HTR1A; rs6295) on cognitive deficit in PMDD. Women with PMDD completed diagnostic interviewing, questionnaire assessment, the Go/Nogo task, 2-back and 3-back tasks, and gonadotropic hormone analysis in the premenstrual and follicular phases. Further, they were followed up for two menstrual cycles to confirm two consecutive symptomatic cycles. A total of 59 subjects with PMDD and 74 controls completed all evaluation, fulfilled the criteria, and entered into the final analysis. The results demonstrated cognitive control and WM decline in the premenstrual among women with PMDD. The G/G genotype of HTR1A (rs6295) was found to be associated with impaired WM in the premenstrual phase and premenstrual decline of cognitive function. It also contributed to the vulnerability of cognitive function to the menstrual cycle effect and PMDD effect. As the G/G genotype of HTR1A (rs6295) involves in reducing serotonin neurotransmission, our results provide insight into the serotonin mechanism of cognitive function among women with PMDD.

Estrogenic mediation of serotonergic and neurotrophic systems: implications for female mood disorders

Clinical research has demonstrated a significant sex difference in the occurrence of depressive disorders. Beginning at pubertal onset, women report a higher incidence of depression than men. Women are also vulnerable to the development of depressive disorders such as premenstrual dysphoric disorder, postpartum depression, and perimenopausal depression. These disorders are associated with reproductive stages involving changes in gonadal hormone levels. Specifically, female depression and female affective behaviors are influenced by estradiol levels. This review argues two major mechanisms by which estrogens influence depression and depressive-like behavior: through interactions with neurotrophic factors and through an influence on the serotonergic system. In particular, estradiol increases brain derived neurotrophic factor (BDNF) levels within the brain, and alters serotonergic expression in a receptor subtype-specific manner. We will take a regional approach, examining these effects of estrogens in the major brain areas implicated in depression. Finally, we will discuss the gaps in our current knowledge of the effects of estrogens on female depression, and the potential utility for estrogen receptor modulators in treatment for this disorder.

Ovarian cycle-linked plasticity of δ-GABAA receptor subunits in hippocampal interneurons affects γ oscillations in vivo

GABA_A receptors containing δ subunits (δ-GABA_ARs) are GABA-gated ion channels with extra- and perisynaptic localization, strong sensitivity to neurosteroids (NS), and a high degree of plasticity. In selective brain regions they are expressed on specific principal cells and interneurons (INs), and generate a tonic conductance that controls neuronal excitability and oscillations. Plasticity of δ-GABA_ARs in principal cells has been described during states of altered NS synthesis including acute stress, puberty, ovarian cycle, pregnancy and the postpartum period, with direct consequences on neuronal excitability and network dynamics. The defining network events implicated in cognitive function, memory formation and encoding are γ oscillations (30–120 Hz), a well-timed loop of excitation and inhibition between principal cells and PV-expressing INs (PV + INs). The δ-GABA_ARs of INs can modify γ oscillations, and a lower expression of δ-GABA_ARs on INs during pregnancy alters γ frequency recorded in vitro. The ovarian cycle is another physiological event with large fluctuations in NS levels and δ-GABA_ARs. Stages of the cycle are paralleled by swings in memory performance, cognitive function, and mood in both humans and rodents. Here we show δ-GABA_ARs changes during the mouse ovarian cycle in hippocampal cell types, with enhanced expression during diestrus in principal cells and specific INs. The plasticity of δ-GABA_ARs on PV-INs decreases the magnitude of γ oscillations continuously recorded in area CA1 throughout several days in vivo during diestrus and increases it during estrus. Such recurring changes in γ magnitude were not observed in non-cycling wild-type (WT) females, cycling females lacking δ-GABA_ARs only on PV-INs (PV-Gabrd^-/-), and in male mice during a time course equivalent to the ovarian cycle. Our findings may explain the impaired memory and cognitive performance experienced by women with premenstrual syndrome (PMS) or premenstrual dysphoric disorder (PMDD).

Estradiol concentrations and working memory performance in women of reproductive age

OBJECTIVE

Estrogen has been proposed to exert a regulatory influence on the working memory system via actions in the female prefrontal cortex. Tests of this hypothesis have been limited almost exclusively to postmenopausal women and pharmacological interventions. We explored whether estradiol discernibly influences working memory within the natural range of variation in concentrations characteristic of the menstrual cycle.

METHOD

The performance of healthy women (n=39) not using hormonal contraceptives, and a control group of age- and education-matched men (n=31), was compared on a spatial working memory task. Cognitive testing was done blind to ovarian status. Women were retrospectively classified into low- or high-estradiol groups based on the results of radioimmunoassays of saliva collected immediately before and after the cognitive testing.

RESULTS

Women with higher levels of circulating estradiol made significantly fewer errors on the working memory task than women tested under low estradiol. Pearson's correlations showed that the level of salivary estradiol but not progesterone was correlated inversely with the number of working memory errors produced. Women tested at high levels of circulating estradiol tended to be more accurate than men. Superior performance by the high estradiol group was seen on the working memory task but not on two control tasks, indicating selectivity of the effects.

CONCLUSIONS

Consistent with previous studies of postmenopausal women, higher levels of circulating estradiol were associated with better working memory performance. These results add further support to the hypothesis that the working memory system is modulated by estradiol in women, and show that the effects can be observed under non-pharmacological conditions.

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

OBJECTIVE

Premenstrual dysphoric disorder (PMDD) is characterized by severe, negative mood symptoms during the luteal phase of each menstrual cycle. We recently reported that women with PMDD show a greater increase in relative glucose metabolism in the posterior cerebellum from the follicular to the luteal phase, as compared with healthy women, and that the phase-related increase is proportional to PMDD symptom severity. We extended this work with a study of brain structure in PMDD.

METHODS

High-resolution magnetic resonance imaging (MRI) scans were obtained from 12 women with PMDD and 13 healthy control subjects (whole-brain volume-corrected p<.05). Voxel-based morphometry was used to assess group differences in cerebral grey-matter volume (GMV), using a statistical criterion of p<.05, correcting for multiple comparisons in the whole-brain volume.

RESULTS

PMDD subjects had greater GMV than controls in the posterior cerebellum but not in any other brain area. Age was negatively correlated with GMV within this region in healthy women, but not in women with PMDD. The group difference in GMV was significant for women over age 30(p=.0002) but not younger participants (p>.1).

CONCLUSIONS

PMDD appears to be associated with reduced age-related loss in posterior cerebellar GMV. Although the mechanism underlying this finding is unclear, cumulative effects of symptom-related cerebellar activity may be involved.