Mini Review ARTICLE
Evidence from neuroimaging for the role of the menstrual cycle in the interplay of emotion and cognition
- 1Clinic for Cognitive Neurology, University Leipzig, Leipzig, Germany
- 2Max Planck Institute for Human Cognitive and Brain Sciences, Cognitive Neurology, Leipzig, Germany
- 3Department of Psychology, University of Haifa, Haifa, Israel
Women show increased predisposition for certain psychiatric disorders, such as depression, that are associated with disturbances in the integration of emotion and cognition. While this suggests that sex hormones need to be considered as modulating factors in the regulation of emotion, we still lack a sound understanding of how the menstrual cycle impacts emotional states and cognitive function. Though signals for the influence of the menstrual cycle on the integration of emotion and cognition have appeared as secondary findings in numerous behavioral and neuroimaging studies, this has only very rarely been the primary research goal. This review summarizes evidence: (1) that the menstrual cycle modulates the integration of emotional and cognitive processing on a behavioral level, and (2) that this change in behavior can be associated with functional, molecular and structural changes in the brain during a specific menstrual cycle phase. The growing evidence for menstrual cycle-specific differences suggests a modulating role for sex hormones on the neural networks supporting the integration of emotional and cognitive information. It will further be discussed what methodological aspects need to be considered to capture the role of the menstrual cycle in the emotion-cognition interplay more systematically.
Sex hormones have been shown to influence emotional states and cognition (Schmidt et al., 1998; Bloch et al., 2000). This is supported by a wide body of animal data and reflected in diverging prevalence rates for men and women for many psychiatric diseases that are associated with cognitive biases to emotional information, such as depression and anxiety (Soares and Zitek, 2008). While hormonal transitions across the life-span represent periods of heightened vulnerability for development of mood disorders for women, the prevalence rates for depression between the sexes are most prominent during the reproductive years. The most extreme changes in gonadal hormones, such as the postpartum period, have consistently been reported as a time of increased risk for depression (O'Hara, 2009). The menstrual cycle offers a unique opportunity to study whether subtle fluctuations of sex hormones can influence neuronal circuits implicated in the cognitive regulation of emotional processing.
The menstrual cycle can be divided in a follicular and a luteal phase (Terner and De Wit, 2006): the follicular phase is used generally to refer to the period after completion of menses until ovulation. During menses and early in the follicular phase, levels of both progesterone and estrogen are very low, while toward the middle and later portions of the follicular phase estrogen levels begin to rise (Griffin and Ojeda, 2004). During the luteal phase, the period between ovulation and menses-onset, estrogen levels decrease to a moderate level until they fall sharply just before the onset of menstruation. Progesterone levels rise after ovulation, peak at the mid-luteal phase, and fall rapidly just before menstruation (Griffin and Ojeda, 2004; Terner and De Wit, 2006). Most studies addressing menstrual cycle dependent changes compare an assessment during the late follicular phase (when estrogen levels are high and progesterone levels low) and during the late luteal phase (when estrogen levels are low and progesterone levels high).
It has been established that sex hormones act on the central nervous system and influence the organization of neural circuits during the prenatal period (Collaer and Hines, 1995). Sex hormones are known to directly influence the hypothalamus and the hippocampus: areas that are implicated in emotional processing, perception and memory, as well as in the interpretation of sensory information (Fanselow and Dong, 2010; Hines, 2010). As it becomes clearer that hormonal transition periods across the life span also affect brain organization, some neuroimaging studies have started addressing the relevance of subtle hormonal fluctuations across the menstrual cycle on brain architecture and connectivity. However, in most cases, the menstrual cycle is entered to statistical analyses as a nuisance regressor (Lonsdorf et al., 2011), or controlled for by only testing male samples (Karama et al., 2011).
In the few instances that the menstrual cycle phase was the primary research aim, typically the research focused on cognitive domains, using mental rotation or language tasks (Masters and Sanders, 1993; Fernandez et al., 2003; Schoning et al., 2007; Pletzer et al., 2011). Few studies investigated the impact of the menstrual cycle on the interplay of emotion and cognition. This lack of knowledge is striking, considering the many interwoven aspects of emotion and cognition. The findings summarized hereafter (for a detailed overview see Table 1) show that menstrual cycle phase affects the reaction to emotional stimuli and reward, as evidenced by behavioral biases in reaction time and neural activation. In line with this evidence, the menstrual cycle also appears to impact a neural network implicated in cognitive control of emotion. This evidence suggests that the menstrual cycle should be considered as a modulating factor when examining the behavioral and neural response to emotional information. The unique combination of sex hormones in different phases of the menstrual cycle may assist in furthering our understanding of inter- and intra-individual differences in emotional reactions.
Table 1. Summary of imaging studies exploring the impact of the menstrual cycle on neuroplastic changes of relevance to the interplay of emotion and cognition.
Neuroplastic Changes in the Human Brain Across the Menstrual Cycle
As evidence for short-term modification of brain plasticity is growing, we continue to adapt our understanding of how brain structure is organized throughout the lifespan. With proliferating documentation supporting a substantially less rigid architecture of the brain than previously hypothesized, identifying the mechanisms that drive neuroplastic modification has become a major focus of interest. Among those factors that are discussed to induce such neuroplastic changes are deliberate training (Draganski et al., 2004), exercise (Taubert et al., 2011), stress (Liston et al., 2009), as well as hormones (Baroncini et al., 2010).
Menstrual Cycle Dependent Changes in Structural and Functional Connectivity: Impact on Emotion and Cognition Interaction
The subtle hormonal fluctuations induced by the menstrual cycle have been explored as potential neuroplastic factors in a few neuroimaging studies at rest. A voxel based morphometry (VBM) study comparing women suffering from cyclic menstrual pain with peri-ovulatory cycle-matched healthy women found substantial brain morphological changes in brain regions implicated in pain transmission but also in affect regulation and top-down modulation of negative affect including the medial prefrontal cortex (mPFC), the anterior/dorsal posterior cingulate cortex (ACC/dPCC), hippocampus, hypothalamus and insula (Tu et al., 2010). A pilot within-subject positron emission tomography (PET) study reported significantly higher glucose metabolism for the mid-follicular menstrual cycle phase in thalamic, prefrontal, temporo-parietal and inferior temporal regions whereas during the mid-luteal menstrual cycle phase increased glucose metabolism in superior temporal, anterior temporal, occipital, cerebellar, cingulate and anterior insular regions was found (Reiman et al., 1996). In a second preliminary VBM study, a change in overall brain size according to menstrual cycle phase, more specifically an increase in gray matter and loss of cerebral spinal fluid (CSF) during the time of ovulation, was found (Hagemann et al., 2011). This brain volume change could be associated with progesterone levels and also correlated, after excluding one outlier, with the estradiol rise prior to ovulation. A volumetric MRI study including twenty-one women in an intra-individual design reported an increase in the right anterior hippocampus in the late follicular versus the late luteal menstrual phase (Protopopescu et al., 2008a). The hippocampus has been implicated in self-referencing during recall and prospection (Muscatell et al., 2010), the formation of emotional memories (Eisenberger et al., 2007) and the processing of facial expressions (Critchley et al., 2000; Fusar-Poli et al., 2009). Traditionally often referred to as the “memory-region,” the hippocampus has recently been discussed as a crucial integrator of emotion and cognition (Small et al., 2011). Particularly the caudal/ventral hippocampal region (corresponding to anterior in primates) has been linked to controlling the hormonal stress response via the hypothalamic-pituitary-adrenal axis. In addition, smaller hippocampal size and deficient function were related to psychopathologies characterized by maladaptive emotional behavior, such as depression, post-traumatic stress disorder and bipolar disorder, whose drug treatment impact hippocampal structure and function (Fanselow and Dong, 2010).
Proptopopescu and colleagues (Protopopescu et al., 2008a) further reported a volumetric decrease in the dorsal basal ganglia during the late follicular menstrual phase. A trend for a neurochemical change in the basal ganglia was observed to fluctuate with the menstrual cycle as a secondary finding in a PET-study exploring sex- and age-differences in dopamine receptors: lower D2 binding in the late follicular menstrual cycle phase was detected but did not meet the threshold for statistical significance (Wong et al., 1988). While the authors acknowledged the preliminary character of their dataset comprised of six healthy women, they made the interesting point that the signal observed was present in each of the six subjects.
Changes in the Reward-Related Neural System Across the Menstrual Cycle
Dopamine represents a key regulator in the integration of cognitive and emotional information processing in the basal ganglia and has been implicated in synaptic plasticity. If these preliminary findings can be replicated in a larger sample, this would argue for the menstrual cycle to impact a major neurochemical axis relevant to numerous neuropsychiatric diseases that display sex-disparity, such as attention deficit disorder, schizophrenia, addiction, and Parkinson's. Recent fMRI results corroborate the link between dopamine and the menstrual cycle: performance in a working memory task increased with dopaminergic transmission rate (indicated by catechol-O-methyltransferase, COMT, enzyme activity) in the late follicular phase but decreased with dopaminergic transmission rate in the early follicular phase and could be predicted by activation of PFC in both conditions (Jacobs and D'Esposito, 2011). These findings suggest that the hormonal fluctuations caused by the menstrual cycle set the stage for a dynamic modulation of cognition and emotion by dopaminergic transmission.
In addition to the above-mentioned roles in cognitive and emotional processes, dopamine is involved in mediating reward. To directly examine the notion that the reward system is influenced by menstrual cycle phase, a study exploring monetary reward in a counter-balanced intra-individual design collected fMRI data in thirteen healthy women (Dreher et al., 2007): The authors found greater blood-oxygen-level-dependent (BOLD) response in the amygdala, the orbitofrontal cortex (OFC), midbrain and the striatum during the mid-follicular phase, brain areas that are highly inter-connected both anatomically and functionally and that are key for autonomic control, emotional processing and reward. A possible interpretation of these findings may be a more responsive reward system shortly before ovulation. Complementary neuroimaging work on the dopaminergic system in 28 healthy women also revealed differences in mesolimbic incentive processing at distinct times of the menstrual cycle (Ossewaarde et al., 2011). Applying a monetary reward incentive delay task, the authors could show an enhanced ventral striatal response in the late luteal versus the late follicular phase and suggest that changes in functioning of mesolimbic incentive processing circuits may underlie premenstrual increases in normal and abnormal motivated behaviors such as food and drug cravings (Ossewaarde et al., 2011).
Cycle-Dependent Biases in Emotional Control
As noted, Dreher et al. (2007) found altered functional activity in the DLPFC and dACC during the mid-luteal phase. These brain regions have important roles in the control of emotional interference to cognitive performance. Recent findings (Mareckova et al., 2012) report stronger BOLD fMRI responses during passive viewing of ambiguous and angry faces (compared to control stimuli) in neural regions related to emotion processing and control, when comparing the mid-cycle and the menstrual phases in freely-cycling women. These regions included the right superior temporal sulcus, bilateral inferior frontal gyrus (IFG), and the right lingual gyrus for ambiguous faces, and the right fusiform face area (FFA), the left IFG, and the left middle temporal sulcus for angry faces. Stronger activation in the right FFA was also found when comparing women taking oral contraceptives compared to controls, and were further replicated in a group of 110 adolescent girls. In line with these findings, several studies showed an impact of the menstrual cycle on the ability to control emotional behavior. Specifically, it was suggested that biased processing of information during the late luteal phase facilitates symptoms of premenstrual depressive disorder (PMDD) (Cunningham et al., 2009). PMDD patients have been shown to demonstrate a luteal phase–dependent negative bias in facial emotion discrimination (Rubinow et al., 2007). This processing bias is in line with higher negative affect and impaired cognitive performance, particularly in memory tasks, in PMDD women during the late luteal phase (Reed et al., 2008). Protopopescu et al. (2008b) used an emotional modification of a Go/No-go inhibitory task in an fMRI experiment: women with PMDD showed enhanced processing of negative information, decreased processing of positive information, and diminished inhibitory control, especially in the context of negative information. Furthermore, these findings were accompanied by reduced activation in medial orbitofrontal cortex (mOFC) and ventral striatum, and enhanced activation in the amygdala and the lateral orbitofrontal cortex, in PMDD subjects versus controls, when comparing the late follicular and the late luteal cycle phases. These findings suggest reduced top-down inhibition of negative information in the late luteal phase in PMDD.
Challenges and Questions
Exacerbation of psychiatric illness has been associated with phases of steep sex hormonal fluctuations (Soares and Zitek, 2008). Several studies demonstrate the impact of such substantial hormonal change on several cognitive and affective domains (Greendale et al., 2010; Ladouceur, 2012; Workman et al., 2012). For the interaction between more subtle sex hormone fluctuations, such as the menstrual cycle, and mood-regulation, reports have been more controversial (Romans et al., 2012). However, one cannot draw the conclusion that the menstrual cycle has no role in the interplay of emotion and cognition from the observation that many studies in this emerging field have been underpowered or methodologically inconsistent. With regards to such methodological inconsistencies, it would be helpful to introduce to the field some sort of standardization to confirm regular menstrual cycles and ovulation of participants. Urine ovulation kits or blood samples demonstrating the pre-ovulatory LH/FSH surge could provide this information in order to ensure that subjects indeed go through the hormonal fluctuation characteristic of a regular menstrual cycle.
A major challenge reviewing the neuroimaging evidence for the impact of the menstrual cycle on brain regions is the lack of consistency in timing of assessment. With a few exceptions, most of the work reviewed did follow an intra-individual design comparing two or more menstrual cycle phases. Most studies included a comparison between follicular and luteal cycle phase, however both of these phases are approximately 12–14 days in length. As reviewed here, the choice to look at an early follicular time (when both estrogen and progesterone levels are low) or at a late follicular time (when progesterone levels are still minimal but estrogen levels are highest) is likely going to impact the results and can make it hard to evaluate data collected at different times.
One approach that has been taken by many in the endeavor to study the impact of sex hormones on the interplay of emotion and cognition is analyzing the correlations between hormone level and a neuroimaging parameter, such as changes in BOLD signal in emotional processing circuits. However, these reports tend to be difficult to interpret since a specific sex hormone can impact neurotransmitter-signaling differently in different states of hormonal environment. For example, data in rodents, primates, and humans have demonstrated that estrogen modulates behavioral sensitization to cocaine differently in the presence of progesterone than in the absence of progesterone (Evans and Foltin, 2010). The menstrual cycle thus provides a unique natural set-up to study the interactions of sex hormones in synergy and move beyond looking at simple correlations.
Conclusion and Perspectives
To summarize, studies have provided preliminary evidence for neuroplastic changes across the menstrual cycle, including the striatum, thalamus, hippocampus, insula, hypothalamus, amygdala, ACC, frontal cortex (OFC, DLPFC) and parietal areas. Most of these regions have substantial roles in the perception, processing or regulation of responses to emotional information. Menstrual cycle-dependent changes have also been demonstrated in reward-related behavior and to interact with dopaminergic transmission. Different patterns of neural activation have been found in women with clinical premenstrual mood change, also pointing to an influence of sex hormones on the neural activation related to cognition-emotion interaction. While the data are still sparse and substantial methodological differences have to be accounted for, it is likely that the subtle hormonal fluctuations that characterize the menstrual cycle modulate emotional behavior in women during their reproductive years.
The neural networks mediating cognition-emotion interactions are a topic of a long and on-going debate. Based on advanced analysis of neuroimaging data, Pessoa (2012) emphasized the interactions between evaluative and control sites as mediators of the impact of cognition on emotional perception. In line with this network view, effects of cognitive load on emotional processing were shown in fronto-parietal attention regions (Culham et al., 2001; Schwartz et al., 2005; Bishop, 2008; Tomasi et al., 2011) as well as limbic (Van Dillen et al., 2009) and sensory regions (Muggleton et al., 2008). Sex hormones are known to influence a number of neurotransmitters implicated in the regulation of cognition and affect, including acetylcholine, serotonin, dopamine, and norepinephrine (Genazzani et al., 1997; Mitsushima, 2010). Functional consequences of genetic polymorphisms in those neurotransmitter-systems need to be considered for the interaction between neurochemical environment and hormonal states in the brain. Genetic vulnerabilities for anxiety and depression in the serotonergic system (Lesch et al., 1996) may relate to the differential response across women to antidepressant treatment targeting the serotonin transporter. The enzyme metabolizing dopamine, catechol-O-methyltransferase (COMT), accounts for the majority of dopaminergic turnover in the PFC (Mannisto and Kaakkola, 1999). For COMT, carriers of the variant met/met (opposed to the met/val allele variant) showed better performance in an executive task and displayed enhanced PFC activation (Egan et al., 2001). Furthermore, COMT activity has been shown to drive the direction of the effect estrogen had on working memory (Jacobs and D'Esposito, 2011). The integration of epigenetic information to neuroimaging data across the menstrual cycle will be important in characterizing the functional consequences of genetic polymorphisms that are implicated in these neurochemical underpinnings of emotion and cognition.
Studies in healthy women during their reproductive years are no substitute for directly studying mood disorders associated with the menstrual cycle, such as PMDD. They do, however, provide an important framework to build upon as confounding factors like comorbidities can be excluded. For intervention studies it will be necessary to include clinical populations. The exploration of neural patterns in the emotional circuits that can be associated with techniques such as cognitive behavioral therapy (CBT) (Goldapple et al., 2004) and mindfulness stress reduction (Schwartz et al., 1996) in order to provide helpful alternatives or add-ons to psychopharmacological interventions in PMDD are promising new research directions. However, research on the menstrual cycle and the interplay of emotion and cognition has a broader scope than menstrual-cycle related disorders. An interaction of reproductive hormones and neuroplasticity has been reported for diseases that can generate abnormalities in emotional processing and social cognition, like multiple sclerosis (Tomassini et al., 2005) Alzheimer's (Pike et al., 2009) and migrane (Gupta et al., 2011). Furthermore, we know that treatment responses can differ immensely between the sexes, and within different hormonal states (Lukas et al., 1996; Justice and De Wit, 1999; Evans and Foltin, 2010).
In conclusion, the emerging research field of neuroimaging the menstrual cycle has already contributed many clinically relevant insights into powerful interactions between sex hormones and neural processes in emotion and cognition. While the majority of endocrinological neuroimaging research has focused on the role of estrogen on traditional aspects of cognition, more studies start to address the interwoven processing of emotion and cognition. The menstrual cycle provides a natural set-up to do so and it will be critical for the interpretation of studies across imaging centers to confirm the endocrine status on each test day of women undergoing a scanning protocol during their reproductive years.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Baroncini, M., Jissendi, P., Catteau-Jonard, S., Dewailly, D., Pruvo, J. P., Francke, J. P., et al. (2010). Sex steroid hormones-related structural plasticity in the human hypothalamus. Neuroimage 50, 428–433. doi: 10.1016/j.neuroimage.2009.11.074
Bloch, M., Schmidt, P. J., Danaceau, M., Murphy, J., Nieman, L., and Rubinow, D. R. (2000). Effects of gonadal steroids in women with a history of postpartum depression. Am. J. Psychiatry 157, 924–930. doi: 10.1176/appi.ajp.157.6.924
Critchley, H., Daly, E., Phillips, M., Brammer, M., Bullmore, E., Williams, S., et al. (2000). Explicit and implicit neural mechanisms for processing of social information from facial expressions: a functional magnetic resonance imaging study. Hum. Brain Mapp. 9, 93–105.
Culham, J. C., Cavanagh, P., and Kanwisher, N. G. (2001). Attention response functions: characterizing brain areas using fMRI activation during parametric variations of attentional load. Neuron 32, 737–745. doi: 10.1016/S0896-6273(01)00499-8
Cunningham, J., Yonkers, K. A., O'Brien, S., and Eriksson, E. (2009). Update on research and treatment of premenstrual dysphoric disorder. Harv. Rev. Psychiatry 17, 120–137. doi: 10.1080/10673220902891836
Dreher, J. C., Schmidt, P. J., Kohn, P., Furman, D., Rubinow, D., and Berman, K. F. (2007). Menstrual cycle phase modulates reward-related neural function in women. Proc. Natl. Acad. Sci. U.S.A. 104, 2465–2470. doi: 10.1073/pnas.0605569104
Egan, M. F., Goldberg, T. E., Kolachana, B. S., Callicott, J. H., Mazzanti, C. M., Straub, R. E., et al. (2001). Effect of COMT Val108/158 Met genotype on frontal lobe function and risk for schizophrenia. Proc. Natl. Acad. Sci. U.S.A. 98, 6917–6922. doi: 10.1073/pnas.111134598
Eisenberger, N. I., Gable, S. L., and Lieberman, M. D. (2007). Functional magnetic resonance imaging responses relate to differences in real-world social experience. Emotion 7, 745–754. doi: 10.1037/1528-35184.108.40.2065
Evans, S. M., and Foltin, R. W. (2010). Does the response to cocaine differ as a function of sex or hormonal status in human and non-human primates? Horm. Behav. 58, 13–21. doi: 10.1016/j.yhbeh.2009.08.010
Fernandez, G., Weis, S., Stoffel-Wagner, B., Tendolkar, I., Reuber, M., Beyenburg, S., et al. (2003). Menstrual cycle-dependent neural plasticity in the adult human brain is hormone, task, and region specific. J. Neurosci. 23, 3790–3795.
Fusar-Poli, P., Placentino, A., Carletti, F., Allen, P., Landi, P., Abbamonte, M., et al. (2009). Laterality effect on emotional faces processing: ALE meta-analysis of evidence. Neurosci. Lett. 452, 262–267. doi: 10.1016/j.neulet.2009.01.065
Genazzani, A. R., Lucchesi, A., Stomati, M., Catarsi, S., Genazzani, A. D., Criscuolo, M., et al. (1997). Effects of sex steroid hormones on the neuroendocrine system. Eur. J. Contracept. Reprod. Health Care 2, 63–69. doi: 10.1080/13625189709049935
Goldapple, K., Segal, Z., Garson, C., Lau, M., Bieling, P., Kennedy, S., et al. (2004). Modulation of cortical-limbic pathways in major depression: treatment-specific effects of cognitive behavior therapy. Arch. Gen. Psychiatry 61, 34–41. doi: 10.1001/archpsyc.61.1.34
Greendale, G. A., Wight, R. G., Huang, M. H., Avis, N., Gold, E. B., Joffe, H., et al. (2010). Menopause-associated symptoms and cognitive performance: results from the study of women's health across the nation. Am. J. Epidemiol. 171, 1214–1224. doi: 10.1093/aje/kwq067
Hagemann, G., Ugur, T., Schleussner, E., Mentzel, H. J., Fitzek, C., Witte, O. W., et al. (2011). Changes in brain size during the menstrual cycle. PLoS ONE 6:e14655. doi: 10.1371/journal.pone.0014655
Justice, A. J., and De Wit, H. (1999). Acute effects of d-amphetamine during the follicular and luteal phases of the menstrual cycle in women. Psychopharmacology (Berl.) 145, 67–75. doi: 10.1007/s002130051033
Karama, S., Armony, J., and Beauregard, M. (2011). Film excerpts shown to specifically elicit various affects lead to overlapping activation foci in a large set of symmetrical brain regions in males. PLoS ONE 6:e22343. doi: 10.1371/journal.pone.0022343
Ladouceur, C. D. (2012). Neural systems supporting cognitive-affective interactions in adolescence: the role of puberty and implications for affective disorders. Front. Integr. Neurosci. 6:65. doi: 10.3389/fnint.2012.00065
Lesch, K. P., Bengel, D., Heils, A., Sabol, S. Z., Greenberg, B. D., Petri, S., et al. (1996). Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region. Science 274, 1527–1531. doi: 10.1126/science.274.5292.1527
Liston, C., McEwen, B. S., and Casey, B. J. (2009). Psychosocial stress reversibly disrupts prefrontal processing and attentional control. Proc. Natl. Acad. Sci. U.S.A. 106, 912–917. doi: 10.1073/pnas.0807041106
Lonsdorf, T. B., Golkar, A., Lindstom, K. M., Fransson, P., Schalling, M., Ohman, A., et al. (2011). 5-HTTLPR and COMTval158met genotype gate amygdala reactivity and habituation. Biol. Psychol. 87, 106–112. doi: 10.1016/j.biopsycho.2011.02.014
Lukas, S. E., Sholar, M., Lundahl, L. H., Lamas, X., Kouri, E., Wines, J. D., et al. (1996). Sex differences in plasma cocaine levels and subjective effects after acute cocaine administration in human volunteers. Psychopharmacology (Berl.) 125, 346–354. doi: 10.1007/BF02246017
Mareckova, K., Perrin, J. S., Khan, I. N., Lawrence, C., Dickie, E., McQuiggan, D. A., et al. (2012). Hormonal contraceptives, menstrual cycle and brain response to faces. Soc. Cogn. Affect. Neurosci. doi: 10.1093/scan/nss128. [Epub ahead of print].
Mannisto, P. T., and Kaakkola, S. (1999). Catechol-O-methyltransferase (COMT): biochemistry, molecular biology, pharmacology, and clinical efficacy of the new selective COMT inhibitors. Pharmacol. Rev. 51, 593–628.
Muscatell, K. A., Addis, D. R., and Kensinger, E. A. (2010). Self-involvement modulates the effective connectivity of the autobiographical memory network. Soc. Cogn. Affect. Neurosci. 5, 68–76. doi: 10.1093/scan/nsp043
Ossewaarde, L., Van Wingen, G. A., Kooijman, S. C., Backstrom, T., Fernandez, G., and Hermans, E. J. (2011). Changes in functioning of mesolimbic incentive processing circuits during the premenstrual phase. Soc. Cogn. Affect. Neurosci. 6, 612–620. doi: 10.1093/scan/nsq071
Pike, C. J., Carroll, J. C., Rosario, E. R., and Barron, A. M. (2009). Protective actions of sex steroid hormones in Alzheimer's disease. Front. Neuroendocrinol. 30, 239–258. doi: 10.1016/j.yfrne.2009.04.015
Pletzer, B., Kronbichler, M., Ladurner, G., Nuerk, H. C., and Kerschbaum, H. (2011). Menstrual cycle variations in the BOLD-response to a number bisection task: implications for research on sex differences. Brain Res. 1420, 37–47. doi: 10.1016/j.brainres.2011.08.058
Protopopescu, X., Butler, T., Pan, H., Root, J., Altemus, M., Polanecsky, M., et al. (2008a). Hippocampal structural changes across the menstrual cycle. Hippocampus 18, 985–988. doi: 10.1002/hipo.20468
Protopopescu, X., Tuescher, O., Pan, H., Epstein, J., Root, J., Chang, L., et al. (2008b). Toward a functional neuroanatomy of premenstrual dysphoric disorder. J. Affect. Disord. 108, 87–94. doi: 10.1016/j.jad.2007.09.015
Reed, S. C., Levin, F. R., and Evans, S. M. (2008). Changes in mood, cognitive performance and appetite in the late luteal and follicular phases of the menstrual cycle in women with and without PMDD (premenstrual dysphoric disorder). Horm. Behav. 54, 185–193. doi: 10.1016/j.yhbeh.2008.02.018
Reiman, E. M., Armstrong, S. M., Matt, K. S., and Mattox, J. H. (1996). The application of positron emission tomography to the study of the normal menstrual cycle. Hum. Reprod. 11, 2799–2805. doi: 10.1093/oxfordjournals.humrep.a019214
Romans, S., Clarkson, R., Einstein, G., Petrovic, M., and Stewart, D. (2012). Mood and the menstrual cycle: a review of prospective data studies. Gend. Med. 9, 361–384. doi: 10.1016/j.genm.2012.07.003
Rubinow, D. R., Smith, M. J., Schenkel, L. A., Schmidt, P. J., and Dancer, K. (2007). Facial emotion discrimination across the menstrual cycle in women with premenstrual dysphoric disorder (PMDD) and controls. J. Affect. Disord. 104, 37–44. doi: 10.1016/j.jad.2007.01.031
Schmidt, P. J., Nieman, L. K., Danaceau, M. A., Adams, L. F., and Rubinow, D. R. (1998). Differential behavioral effects of gonadal steroids in women with and in those without premenstrual syndrome. N. Engl. J. Med. 338, 209–216. doi: 10.1056/NEJM199801223380401
Schoning, S., Engelien, A., Kugel, H., Schafer, S., Schiffbauer, H., Zwitserlood, P., et al. (2007). Functional anatomy of visuo-spatial working memory during mental rotation is influenced by sex, menstrual cycle, and sex steroid hormones. Neuropsychologia 45, 3203–3214. doi: 10.1016/j.neuropsychologia.2007.06.011
Schwartz, J. M., Stoessel, P. W., Baxter, L. R. Jr., Martin, K. M., and Phelps, M. E. (1996). Systematic changes in cerebral glucose metabolic rate after successful behavior modification treatment of obsessive-compulsive disorder. Arch. Gen. Psychiatry 53, 109–113. doi: 10.1001/archpsyc.1996.01830020023004
Schwartz, S., Vuilleumier, P., Hutton, C., Maravita, A., Dolan, R. J., and Driver, J. (2005). Attentional load and sensory competition in human vision: modulation of fMRI responses by load at fixation during task-irrelevant stimulation in the peripheral visual field. Cereb. Cortex 15, 770–786. doi: 10.1093/cercor/bhh178
Small, S. A., Schobel, S. A., Buxton, R. B., Witter, M. P., and Barnes, C. A. (2011). A pathophysiological framework of hippocampal dysfunction in ageing and disease. Nat. Rev. Neurosci. 12, 585–601. doi: 10.1038/nrn3085
Taubert, M., Lohmann, G., Margulies, D. S., Villringer, A., and Ragert, P. (2011). Long-term effects of motor training on resting-state networks and underlying brain structure. Neuroimage 57, 1492–1498. doi: 10.1016/j.neuroimage.2011.05.078
Tomasi, D., Volkow, N. D., Wang, G. J., Wang, R., Telang, F., Caparelli, E. C., et al. (2011). Methylphenidate enhances brain activation and deactivation responses to visual attention and working memory tasks in healthy controls. Neuroimage 54, 3101–3110. doi: 10.1016/j.neuroimage.2010.10.060
Tomassini, V., Onesti, E., Mainero, C., Giugni, E., Paolillo, A., Salvetti, M., et al. (2005). Sex hormones modulate brain damage in multiple sclerosis: MRI evidence. J. Neurol. Neurosurg. Psychiatry 76, 272–275. doi: 10.1136/jnnp.2003.033324
Tu, C. H., Niddam, D. M., Chao, H. T., Chen, L. F., Chen, Y. S., Wu, Y. T., et al. (2010). Brain morphological changes associated with cyclic menstrual pain. Pain 150, 462–468. doi: 10.1016/j.pain.2010.05.026
Van Dillen, L. F., Heslenfeld, D. J., and Koole, S. L. (2009). Tuning down the emotional brain: an fMRI study of the effects of cognitive load on the processing of affective images. Neuroimage 45, 1212–1219. doi: 10.1016/j.neuroimage.2009.01.016
Wong, D. F., Broussolle, E. P., Wand, G., Villemagne, V., Dannals, R. F., Links, J. M., et al. (1988). In vivo measurement of dopamine receptors in human brain by positron emission tomography. Age and sex differences. Ann. N.Y. Acad. Sci. 515, 203–214. doi: 10.1111/j.1749-6632.1988.tb32986.x
Keywords: menstrual cycle, neuroimaging (anatomic and functional), emotion-cognition interaction, mood, emotion regulation, sex hormones, reward
Citation: Sacher J, Okon-Singer H and Villringer A (2013) Evidence from neuroimaging for the role of the menstrual cycle in the interplay of emotion and cognition. Front. Hum. Neurosci. 7:374. doi: 10.3389/fnhum.2013.00374
Received: 14 February 2013; Accepted: 27 June 2013;
Published online: 24 July 2013.
Edited by:Alexander J. Shackman, University of Maryland, USA
Reviewed by:Alexander J. Shackman, University of Maryland, USA
Nicole Praschak-Rieder, University of Vienna, Austria
Copyright © 2013 Sacher, Okon-Singer and Villringer. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: Julia Sacher, Max Planck Institute for Human Cognitive and Brain Sciences, Cognitive Neurology, Stephanstrasse 1A, 04103 Leipzig, Germany e-mail: email@example.com