A Double Dissociation Between Mood States and Personality Traits in the Anterior Cingulate

Investigating the dopaminergic basis of extraversion in humans: A multilevel approach

A recent theory suggests that the agency facet of Extraversion (E) is based on brain dopamine (DA). The paucity of human data relevant to this model is probably due to the lack of widely accessible noninvasive psychophysiological indices and well-established behavioral measures sensitive to both E and manipulations of DA activity. Aiming to identify such measures, the authors assessed the electroencephalogram and n-back task performance in groups of introverts and extraverts after administration of either placebo or a selective DA D2 receptor antagonist. As predicted, the antagonist's effects on n-back reaction time measures and frontal versus parietal electroencephalogram theta activity were strongly and specifically modulated by E. New research avenues and theoretical extensions suggested by these results are discussed.

A neural network reflecting individual differences in cognitive processing of emotions during perceptual decision making

Even simple perceptual decisions are influenced by the emotional content of a stimulus. Recent neuroimaging studies provide evidence about the neural mechanisms of perceptual decision making on emotional stimuli. However, the effect of individual differences in cognitive processing of emotions on perceptual decision making remains poorly understood. Here, we investigated how changes in the fMRI signal during perceptual decision making on facial stimuli covaried with individual differences in the ability to identify and communicate one's emotional state. Although this personality trait covaried with changes in activity in the dorsal anterior cingulate cortex (dACC) during gender decisions on facial expressions, there was no correlation during emotion decisions. Further, we investigated whether individual differences in the ability to cognitively process emotions depend on differences in the functional integration of emotional and cognitive brain regions. We therefore compared task-dependent changes in effective connectivity of dACC in individuals with good and with poor ability to cognitively process emotions using a psychophysiological interaction analysis. We found greater coupling of dACC with prefrontal regions in individuals with good ability to identify and communicate their emotional state. Conversely, individuals with poor ability in this domain showed greater coupling of dACC with the amygdala. Our data indicate that individual differences in the ability to identify and communicate one's emotional state are reflected by altered effective connectivity of the dACC with prefrontal and limbic regions. Thus, we provide neurophysiological evidence for a theoretical model that posits that a discommunication between limbic areas and the neocortex impairs cognitive processing of emotions.

Effects of estrogen variation on neural correlates of emotional response inhibition

Despite behavioral evidence that variation in ovarian hormones is associated with changes in affect, the neural basis of these processes is poorly understood. We combined functional magnetic resonance imaging (fMRI) with quantitative analysis of ovarian hormones in a within-subject design to investigate brain activation patterns during affective response inhibition, comparing activation between the early follicular (low estrogen and progesterone) and mid-luteal (high estrogen and progesterone) phases of the menstrual cycle in healthy women. There was significantly increased activation in the anterior cingulate and dorsolateral prefrontal cortex (DLPFC) while inhibiting response to positive words during the luteal, compared to the follicular phase. Furthermore, luteal phase estradiol level positively correlated with DLPFC activation while inhibiting response to positive words and negatively correlated with activation in several structures while inhibiting response to negative words, supporting estrogen's modulation of affective processing.

An emotional Stroop functional MRI study of euthymic bipolar disorder

OBJECTIVE

To identify the brain regions associated with emotional processing in euthymic bipolar patients.

METHODS

The study examined 12 euthymic bipolar patients using functional magnetic resonance imaging (fMRI) while performing an emotional Stroop (eStroop) task. The task comprised emotionally valent and neutral words presented in alternating blocks that was designed to implicitly induce affect. In conjunction with fMRI, galvanic skin responses (GSR) were measured to monitor arousal.

RESULTS

Euthymic bipolar patients had diminished activation in response to the affective stimuli in both cortical and subcortical brain regions when compared with healthy subjects. In particular, patients had less activation in the left ventral prefrontal cortex suggesting a potential trait deficit. Patients were slower to react than healthy controls, but did not differ with respect to accuracy.

CONCLUSIONS

Euthymic bipolar patients are perhaps constrained in their ability to engage affective processing. Diminished ventral prefrontal cortex activation corroborates previous reports of a potential trait deficit, suggesting that 'all is not well in euthymia', although the effects of medication cannot be overlooked.

Emotional influences on food choice: sensory, physiological and psychological pathways

Sensory, physiological and psychological mechanisms are reviewed that underlie emotional influences on food choice. Both moods and emotions are considered. Eating a meal will reliably alter mood and emotional predisposition, typically reducing arousal and irritability, and increasing calmness and positive affect. However, this depends on the meal size and composition being close to the eater's habit, expectations and needs. Unusual meals--e.g. too small, unhealthy--may negatively affect mood. Sweetness, and sensory cues to high energy density, such as fatty texture, can improve mood and mitigate effects of stress via brain opioidergic and dopaminergic neurotransmission. However, adaptation in these pathways, perhaps enhanced by inherited sensitivity, with chronic exposure to such sensory qualities, could lead to overeating of energy-dense foods and consequent obesity. Sweet, fatty foods low in protein may also provide alleviation from stress in vulnerable people via enhanced function of the serotonergic system. Moreover, in rats, such foods seem to act as part of a feedback loop, via release of glucocorticoid hormones and insulin, to restrain activity of the hypothalamic pituitary adrenal axis during stress. However, this effect is also associated with abdominal obesity. In humans, a number of psychological characteristics predict the tendency to choose such foods when stressed, such as restrained or emotional eating, neuroticism, depression and premenstrual dysphoria, all of which could indicate neurophysiological sensitivity to reinforcing effects of such foods. Greater understanding of such predictive traits and the underlying mechanisms could lead to tailoring of diet to meet personal emotional needs.

Variance maps as a novel tool for localizing regions of interest in imaging studies of individual differences

Cognitive neuroimaging studies of individual differences seek to reveal brain mechanisms of cognition by associating intersubject variability in brain activation with other variables of interest, such as sex, personality trait, or mood state. The choice of a priori regions of interest (ROIs) raises problems, because the selection criterion is typically consistent activation across prior studies, suggesting little intersubject variability. Here, we introduce a novel approach for selecting regions that are defined on the basis of their variance characteristics, rather than on the basis of their location or because of theoretical expectations. These regions of variance (ROVs) constitute the search space with which to assess how much of the observed variance can be ascribed to specific variables of interest. We compare the ROI and ROV approaches by applying each to the same data set and suggest that the conjunction of both methods may yield the greatest likelihood of capturing the rich relation between brain and behavior, while limiting the search space for statistical analyses and minimizing false positive errors.

Beyond affect: a role for genetic variation of the serotonin transporter in neural activation during a cognitive attention task

Prior work has highlighted the role of genetic variation within the repetitive sequence in the transcriptional control region of the serotonin (5-HT) transporter gene (5-HTT, SLC6A4) in modulating amygdala and prefrontal activation to negative emotional stimuli. However, these studies have not explicitly tested the assumption that the control condition (neutral baseline) does not itself produce changes in activation as a function of 5-HTT genotype. Using a fixation baseline condition, we show that variation in 5-HTT genotype is associated with differential activation to negative, positive, and neutral stimuli in limbic, striatal, and cortical regions. We replicate earlier reports of increased amygdala activation to negative, relative to neutral, stimuli, but then show that these differences are driven by decreased activation to neutral stimuli, rather than increased activation to negative stimuli, in carriers of the 5-HTT short allele. Using high-resolution structural images and automated processes to test for brain volume and gray matter density, we further report significant differences, as a function of 5-HTT genotype, in frontal cortical regions, anterior cingulate, and cerebellum. These functional and structural differences suggest a much broader role for 5-HT transport efficiency in brain processes than previously thought. 5-HTT genotype affects neural systems controlling affective, cognitive, and motor processes.

When genes and brains unite: ethical implications of genomic neuroimaging

Geneticists, neuroscientists, and personality psychologists are now on a quest to understand the biological basis of personality and individual differences. This chapter highlights recent advances in this field of research. It illustrates how data obtained from neuroimaging scans can predict narrowly defined forms of behavior better than self-report and other behavioral measures, and argues that future integration of genetic and life experience data with neuroimaging data will further enhance this capability. It identifies likely applications of this technology and concludes that a statistically informed cost-benefit analysis may be the most practical approach towards the ethical use of this technology across a diverse set of real-life applications.

Exploring the Brain's Interface Between Personality, Mood, and Emotion: Theoretical Comment on Canli et al. (2004)

T. Canli et al., 2004 use functional MRI to explore the neural interface between personality, mood, and emotional responses. Their finding of a double dissociation in brain response to emotional stimuli based on personality and mood state has significant implications for our understanding of the effects of personality traits and mood states on the neural bases of emotion and cognition.