Resting brain metabolic correlates of neuroticism and extraversion in young men

Neural correlates of neuroticism: A coordinate-based meta-analysis of resting-state functional brain imaging studies

Neuroticism is one of the most robust higher-order personality traits associated with negative emotionality and risk of mental disorders. Many studies have investigated relationships between neuroticism and the brain, but the results have been inconsistent. We conducted a meta-analysis of whole-brain resting-state functional neuroimaging studies to identify the most stable neurofunctional substrates of neuroticism. We found stable significant positive correlations between neuroticism and resting-state brain activity in the left middle temporal gyrus (MTG), left striatum, and right hippocampus. In contrast, resting-state brain activity in the left superior temporal gyrus (STG) and right supramarginal gyrus (SMG) was negatively associated with neuroticism. Additionally, meta-regression analysis revealed brain regions in which sex and age moderated the link of spontaneous activity with neuroticism. This is the first study to provide a comprehensive understanding of resting-state brain activity correlates of neuroticism, and the findings may be useful for the targeting of specific brain regions for interventions to decrease the risks of mental health problems.

Relationship between extraversion personality and gray matter volume and functional connectivity density in healthy young adults: an fMRI study

Extraversion and neuroticism are two main dimensions of Eysenck's personality. We assessed the relationship between extraversion and neuroticism with brain structure and function by voxel-based morphometry (VBM) and functional connectivity density (FCD). The resting state functional magnetic resonance image and high resolution structural T1 weighted images of 100 young healthy subjects were used in analysis. Our results showed that extraversion was negatively correlated with gray matter volume (GMV) of the bilateral putamen, and it was negatively correlated with FCD in the precuneus. No associations between neuroticism and brain structure and function changes. Overall, our results suggested that several brain regions involved in shaping of extraversion traits among young individuals, which may provide a neurobiological basis of extraversion.

Association of Late Adolescent Personality With Risk for Subsequent Serious Mental Illness Among Men in a Swedish Nationwide Cohort Study

IMPORTANCE

Understanding of personality as an independent risk factor for serious mental illness (SMI) remains limited. Recently, overlap between the polygenic basis for specific personality traits and specific SMIs has been identified.

OBJECTIVE

To determine the association of the adolescent personality domains of social maturity, mental energy, and emotional stability with later diagnosis of SMI.

DESIGN, SETTING, AND PARTICIPANTS

This longitudinal cohort study enrolled Swedish male military conscripts aged 18 or 19 years from January 1, 1974, through December 31, 1997. The diagnosis of an SMI was extracted from the National Patient Register for all inpatient treatment episodes in Sweden from January 1, 1974, through December 31, 2011. Data were analyzed from May 3 to September 16, 2016.

EXPOSURES

Social maturity, mental energy, and emotional stability assessed at conscription interview.

MAIN OUTCOMES AND MEASURES

Inpatient diagnoses of bipolar disorder, schizoaffective disorder, schizophrenia, and other nonaffective psychoses occurring until December 31, 2011.

RESULTS

Of the 1 017 691 men included in the cohort, 4310 developed bipolar disorder; 784, schizoaffective disorder; 4823, schizophrenia; and 5013, other nonaffective psychoses. After adjustment, with use of mean scores as a reference, low social maturity (hazard ratio [HR], 1.61; 95% CI, 1.48-1.74), low mental energy (HR, 1.34; 95% CI, 1.24-1.44), and low emotional stability (HR, 1.51; 95% CI, 1.40-1.63) were inversely associated with schizophrenia in a dose-dependent fashion. Other nonaffective psychoses displayed a similar pattern. Bipolar disorder was associated with high (HR, 1.21; 95% CI, 1.09-1.35) and low (HR, 1.12; 95% CI, 1.01-1.25) social maturity and low emotional stability (HR, 1.62; 95% CI, 1.46-1.78). Schizoaffective disorder was associated with low emotional stability (HR, 1.53; 95% CI, 1.26-1.85).

CONCLUSIONS AND RELEVANCE

Emotional stability is inversely associated with all SMI. Bipolar disorder has a unique U-shaped association with social maturity. Premorbid personality may reflect subtle changes in cerebral function, may combine with symptoms and other neurocognitive deficits to influence illness presentation, and/or may be owing to shared genetic architecture.

A Comprehensive Analysis of the Correlations between Resting-State Oscillations in Multiple-Frequency Bands and Big Five Traits

Recently, the association between human personality traits and resting-state brain activity has gained interest in neuroimaging studies. However, it remains unclear if Big Five personality traits are represented in frequency bands (~0.25 Hz) of resting-state functional magnetic resonance imaging (fMRI) activity. Based on earlier neurophysiological studies, we investigated the correlation between the five personality traits assessed by the NEO Five-Factor Inventory (NEO-FFI), and the fractional amplitude of low-frequency fluctuation (fALFF) at four distinct frequency bands (slow-5 (0.01–0.027 Hz), slow-4 (0.027–0.073 Hz), slow-3 (0.073–0.198 Hz) and slow-2 (0.198–0.25 Hz)). We enrolled 835 young subjects and calculated the correlations of resting-state fMRI signals using a multiple regression analysis. We found a significant and consistent correlation between fALFF and the personality trait of extraversion at all frequency bands. Furthermore, significant correlations were detected in distinct brain regions for each frequency band. This finding supports the frequency-specific spatial representations of personality traits as previously suggested. In conclusion, our data highlight an association between human personality traits and fALFF at four distinct frequency bands.

A Preliminary Study of the Opioid System and Personality Traits Using Positron Emission Tomography

BACKGROUND

Personality traits, such as Neuroticism and Extraversion, have been implicated in the processing of emotion. The neural correlates most often associated with Neuroticism and Extraversion are the insular cortex, orbitofrontal cortex, amygdala, and ventral striatum.

OBJECTIVE

The aim of the current study was to explore neurotransmitter systems underlying those neural correlates and investigate the relationship between personality traits and opioid receptor binding potential.

METHOD

Twelve healthy participants completed an [11C]diprenorphine positron emission tomography scan at rest. Endogenous opioid levels as indicated by opioid receptor binding potential was examined in relation to personality phenotype.

RESULTS

A high score of Neuroticism, a personality trait characterized by negative affect, was found to be associated with high opioid receptor binding in the right anterior insula. Conversely, a high score of Extraversion, a personality trait characterized by positive affect, was found to be associated with low opioid receptor binding in the left posterior insula.

CONCLUSIONS

While preliminary, the results of this study suggest that the expression of Neuroticism and Extraversion is related to baseline function of the opioid neurotransmitter system in the insular cortex. These findings may help elucidate the neural mechanisms underlying the expression of personality traits, particularly those implicated in affective processing.

Functional neuroimaging of extraversion-introversion

Neuroimaging techniques such as functional magnetic resonance imaging and positron emission tomography have provided an unprecedented neurobiological perspective for research on personality traits. Evidence from task-related neuroimaging has shown that extraversion is associated with activations in regions of the anterior cingulate cortex, dorsolateral prefrontal cortex, middle temporal gyrus and the amygdala. Currently, resting-state neuroimaging is being widely used in cognitive neuroscience. Initial exploration of extraversion has revealed correlations with the medial prefrontal cortex, anterior cingulate cortex, insular cortex, and the precuneus. Recent research work has indicated that the long-range temporal dependence of the resting-state spontaneous oscillation has high test-retest reliability. Moreover, the long-range temporal dependence of the resting-state networks is highly correlated with personality traits, and this can be used for the prediction of extraversion. As the long-range temporal dependence reflects real-time information updating in individuals, this method may provide a new approach to research on personality traits.

Five factor model traits as a predictor of suicide ideation and interpersonal suicide risk in a college sample

Research has demonstrated an inconsistent relationship between suicide ideation and personality traits. This is the first study to empirically examine the relationship of the Five Factor Model of personality with current, past and no suicide ideation, and with the two interpersonal risk factors of suicide: thwarted belongingness and perceived burdensomeness (Joiner, T., 2005. Why people die by suicide. Cambridge, MA, US: Harvard University Press). Results indicate that high neuroticism was associated with both current ideation and a history of suicide ideation and extraversion was associated with current ideation. Neuroticism was positively related to thwarted belongingness and perceived burdensomeness, while extraversion was negatively related to these interpersonal predictors of suicide. Agreeableness was negatively related to thwarted belongingness but not perceived burdensomeness, indicating differentiated patterns of relationships between this personality domain and the two suicide constructs. Furthermore, these personality domains predicted 23.82% of variance for thwarted belongingness and 15.07% of the variance for perceived burdensomeness, above and beyond demographic variables associated with suicide ideation. This study, which was conducted with a college sample, demonstrates the potential benefit of identifying predispositional risk factors for suicide ideation and interpersonal predictors of suicide. This may have implications for the development of upstream preventative measures against suicide.

Relationship between personality and gray matter volume in healthy young adults: a voxel-based morphometric study

This study aims to investigate the neurostructural foundations of the human personality in young adults. High-resolution structural T1-weighted MR images of 71 healthy young individuals were processed using voxel-based morphometric (VBM) approach. Multiple regression analyses were performed to identify the associations between personality traits and gray matter volume (GMV). The Eysenck Personality Questionnaire-Revised, Short Scale for Chinese was chosen to assess the personality traits. This scale includes four dimensions, namely, extraversion, neuroticism, psychoticism, and lie. Particularly, we studied on two dimensions (extraversion and neuroticism) of Eysenck’s personality. Our results showed that extraversion was negatively correlated with GMV of the bilateral amygdala, the bilateral parahippocampal gyrus, the right middle temporal gyrus, and the left superior frontal gyrus, all of which are involved in emotional and social cognitive processes. These results might suggest an association between extraversion and affective processing. In addition, a positive correlation was detected between neuroticism and GMV of the right cerebellum, a key brain region for negative affect coordination. Meanwhile, a negative association was revealed between GMV of the left superior frontal gyrus and neuroticism. These results may prove that neuroticism is related to several brain regions involved in regulating negative emotions. Based on those findings, we concluded that brain regions involved in social cognition and affective process accounted for modulation and shaping of personality traits among young individuals. Results of this study may serve as a basis for elucidating the anatomical factors of personality.

Extraversion and neuroticism relate to topological properties of resting-state brain networks

With the advent and development of modern neuroimaging techniques, there is an increasing interest in linking extraversion and neuroticism to anatomical and functional brain markers. Here, we aimed to test the theoretically derived biological personality model as proposed by Eysenck using graph theoretical analyses. Specifically, the association between the topological organization of whole-brain functional networks and extraversion/neuroticism was explored. To construct functional brain networks, functional connectivity among 90 brain regions was measured by temporal correlation using resting-state functional magnetic resonance imaging (fMRI) data of 71 healthy subjects. Graph theoretical analysis revealed a positive association of extraversion scores and normalized clustering coefficient values. These results suggested a more clustered configuration in brain networks of individuals high in extraversion, which could imply a higher arousal threshold and higher levels of arousal tolerance in the cortex of extraverts. On a local network level, we observed that a specific nodal measure, i.e., betweenness centrality (BC), was positively associated with neuroticism scores in the right precentral gyrus (PreCG), right caudate nucleus, right olfactory cortex, and bilateral amygdala. For individuals high in neuroticism, these results suggested a more frequent participation of these specific regions in information transition within the brain network and, in turn, may partly explain greater regional activation levels and lower arousal thresholds in these regions. In contrast, extraversion scores were positively correlated with BC in the right insula, while negatively correlated with BC in the bilateral middle temporal gyrus (MTG), indicating that the relationship between extraversion and regional arousal is not as simple as proposed by Eysenck.

Extraversion and striatal dopaminergic receptor availability in young adults: an [18F]fallypride PET study

Extraversion is a core personality trait associated with individual differences in reward sensitivity and has been linked to the dopaminergic brain system. We investigated whether dopaminergic receptor availability in the striatum was directly associated with individual differences in extraversion using the high-affinity radiotracer [¹⁸F]fallypride and PET. Seventeen healthy male and female participants completed an [¹⁸F]fallypride PET scan at rest. Extraversion was assessed using the revised Eysenck Personality Questionnaire. Dopamine receptor availability in predefined striatal regions of interest was assessed as [¹⁸F]fallypride binding potential using a reference tissue model for [¹⁸F]fallypride. Both region of interest and voxel-based whole-brain analyses showed that extraversion was significantly correlated with dopaminergic receptor availability in the striatum bilaterally. This finding contributes to our understanding of the dopaminergic neural mechanisms underlying individual differences in extraversion.

Specific frequency bands of amplitude low-frequency oscillation encodes personality

The biological model of extraversion and neuroticism identified by Eysenck has stimulated increasing interest in uncovering neurobiological substrate of the two fundamental dimensions. Here we aim to explore brain disturbances underlying extraversion and neuroticism in 87 healthy individuals using fractional amplitude of low-frequency fluctuations (LFF) on resting-state functional magnetic resonance imaging. Two different frequency bands, Slow-5 (0.01-0.027 Hz) exhibiting higher power and involving larger brain regions, and Slow-4 (0.027-0.073 Hz) exhibiting less power and emerging locally, were analyzed. Our results showed a positive correlation between LFF amplitude at Slow-5 and extraversion in medial prefrontal cortex and precuneus, important portions of the default mode network, thus suggesting a link between default network activity and personality traits. LFF amplitude at Slow-5 was correlated positively with neuroticism in right posterior portion of the frontal lobe, further validating neuroticism with frontal lateralization. In addition, LFF amplitude at Slow-4 was negatively associated with extraversion and neuroticism in left hippocampus (HIP) and bilateral superior temporal cortex (STC) respectively, supporting the hypothesized (inverse) relationship between extraversion and resting arousal, also implying neural circuit underlying emotional process influencing on personality. Overall, these findings suggest the important relationships, between personality and LFF amplitude dynamic, depend on specific frequency bands.

Neural network development in late adolescents during observation of risk-taking action

Emotional maturity and social awareness are important for adolescents, particularly college students beginning to face the challenges and risks of the adult world. However, there has been relatively little research into personality maturation and psychological development during late adolescence and the neural changes underlying this development. We investigated the correlation between psychological properties (neuroticism, extraversion, anxiety, and depression) and age among late adolescents (n = 25, from 18 years and 1 month to 22 years and 8 months). The results revealed that late adolescents became less neurotic, less anxious, less depressive and more extraverted as they aged. Participants then observed video clips depicting hand movements with and without a risk of harm (risk-taking or safe actions) during functional magnetic resonance imaging (fMRI). The results revealed that risk-taking actions elicited significantly stronger activation in the bilateral inferior parietal lobule, temporal visual regions (superior/middle temporal areas), and parieto-occipital visual areas (cuneus, middle occipital gyri, precuneus). We found positive correlations of age and extraversion with neural activation in the insula, middle temporal gyrus, lingual gyrus, and precuneus. We also found a negative correlation of age and anxiety with activation in the angular gyrus, precentral gyrus, and red nucleus/substantia nigra. Moreover, we found that insula activation mediated the relationship between age and extraversion. Overall, our results indicate that late adolescents become less anxious and more extraverted with age, a process involving functional neural changes in brain networks related to social cognition and emotional processing. The possible neural mechanisms of psychological and social maturation during late adolescence are discussed.

Gender differences of brain activity in the conflicts based on implicit self-esteem

There are gender differences in global and domain-specific self-esteem and the incidence of some psychiatric disorders related to self-esteem, suggesting that there are gender differences in the neural basis underlying one's own self-esteem. We investigated gender differences in the brain activity while subjects (14 males and 12 females) performed an implicit self-esteem task, using fMRI. While ventromedial prefrontal cortex (vmPFC) was significantly activated in females, medial and dorsomedial PFC (dmPFC) were activated in males in the incongruent condition (self = negative) compared with the congruent condition (self = positive). Additionally, scores on the explicit self-esteem test were negatively correlated with vmPFC activity in females and positively correlated with dmPFC activity in males. Furthermore, the functional relationships among the regions found by direct gender comparisons were discussed based on the somatic-marker model. These showed that, compared to males, females more firmly store even the incongruent associations as part of their schematic self-knowledge, and such associations automatically activate the neural networks for emotional response and control, in which vmPFC plays a central role. This may explain female cognitive/behavioral traits; females have more tendency to ruminate more often than males, which sometimes results in a prolonged negative affect.

The five factors of personality and regional cortical variability in the Baltimore longitudinal study of aging

Although personality changes have been associated with brain lesions and atrophy caused by neurodegenerative diseases and aging, neuroanatomical correlates of personality in healthy individuals and their stability over time have received relatively little investigation. In this study, we explored regional gray matter (GM) volumetric associations of the five-factor model of personality. Eighty-seven healthy older adults took the NEO Personality Inventory and had brain MRI at two time points 2 years apart. We performed GM segmentation followed by regional analysis of volumes examined in normalized space map creation and voxel based morphometry-type statistical inference in SPM8. We created a regression model including all five factors and important covariates. Next, a conjunction analysis identified associations between personality scores and GM volumes that were replicable across time, also using cluster-level Family-Wise-Error correction. Larger right orbitofrontal and dorsolateral prefrontal cortices and rolandic operculum were associated with lower Neuroticism; larger left temporal, dorsolateral prefrontal, and anterior cingulate cortices with higher Extraversion; larger right frontopolar and smaller orbitofrontal and insular cortices with higher Openness; larger right orbitofrontal cortex with higher Agreeableness; larger dorsolateral prefrontal and smaller frontopolar cortices with higher Conscientiousness. In summary, distinct personality traits were associated with stable individual differences in GM volumes. As expected for higher-order traits, regions performing a large number of cognitive and affective functions were implicated. Our findings highlight personality-related variation that may be related to individual differences in brain structure that merit additional attention in neuroimaging research.

Personality is reflected in the brain's intrinsic functional architecture

Personality describes persistent human behavioral responses to broad classes of environmental stimuli. Investigating how personality traits are reflected in the brain's functional architecture is challenging, in part due to the difficulty of designing appropriate task probes. Resting-state functional connectivity (RSFC) can detect intrinsic activation patterns without relying on any specific task. Here we use RSFC to investigate the neural correlates of the five-factor personality domains. Based on seed regions placed within two cognitive and affective ‘hubs’ in the brain—the anterior cingulate and precuneus—each domain of personality predicted RSFC with a unique pattern of brain regions. These patterns corresponded with functional subdivisions responsible for cognitive and affective processing such as motivation, empathy and future-oriented thinking. Neuroticism and Extraversion, the two most widely studied of the five constructs, predicted connectivity between seed regions and the dorsomedial prefrontal cortex and lateral paralimbic regions, respectively. These areas are associated with emotional regulation, self-evaluation and reward, consistent with the trait qualities. Personality traits were mostly associated with functional connections that were inconsistently present across participants. This suggests that although a fundamental, core functional architecture is preserved across individuals, variable connections outside of that core encompass the inter-individual differences in personality that motivate diverse responses.

The synchronization of spontaneous BOLD activity predicts extraversion and neuroticism

There is an increasing body of evidence pointing to a relationship between personality and brain markers. The purpose of this study was to identify the associations between personality dimensions of extraversion and neuroticism and the local synchronization of spontaneous blood oxygen level-dependent (BOLD) activity assessed by regional homogeneity (ReHo) approach. Our results revealed the significant negative correlation between neuroticism and ReHo in the left middle frontal gyrus, providing evidence for the left frontal activation involved in pleasant emotion. ReHo was correlated negatively with extraversion in the medial prefrontal cortex (MPFC), an important portion of the default mode network (DMN), thus further indicating the relationship between DMN and personality. In addition, ReHo in the insula, cerebellum and cingulate gyrus was correlated positively with extraversion, suggesting the associations between individual difference in extraversion and specific brain regions involved in affective processing. These findings shed light on the important relationship between the synchronization of spontaneous fluctuations and personality dimensions of extraversion and neuroticism, which provide further evidence for the neural underpinning of individual difference in personality traits.

White matter integrity and five-factor personality measures in healthy adults

The five-factor model organizes personality traits into five factors: Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. Measures of these personality traits predict people's behaviors and important outcomes of their lives. Therefore, understanding the neural correlates of these personality traits is important. This study assessed the relationships between white matter (WM) integrity and personality traits among 51 healthy participants using diffusion tensor imaging (DTI) and the revised NEO Personality Inventory (NEO-PI-R). Neuroticism correlated positively while Openness and Agreeableness correlated negatively with DTI mean diffusivity (MD) in the corona radiata and superior longitudinal fasciculus, tracts that interconnect prefrontal cortex (PFC), parietal cortex, and subcortical structures. Furthermore, Neuroticism correlated positively with MD in the anterior cingulum and uncinate fasciculus, tracts interconnecting PFC and amygdala. Openness correlated negatively with MD of WM adjacent to the dorsolateral PFC in both hemispheres. These findings suggest that greater Neuroticism associates with worse integrity of WM interconnecting extensive cortical and subcortical structures including the PFC and amygdala and that greater Openness associates with better integrity of WM interconnecting extensive cortical and subcortical structures including the dorsolateral PFC.

Personality traits and the amplitude of spontaneous low-frequency oscillations during resting state

Recently, neural substrates of the Big Five personality model were investigated using neuroimaging. We examined the relationships between the amplitude of spontaneous low-frequency oscillations (LFO) and the Big Five traits using resting-state functional magnetic resonance imaging (R-fMRI). Twenty-four healthy right-handed undergraduates (23.13±1.87 years, 9 males and 15 females) participated in 5-min R-fMRI and completed the NEO Five-Factor Inventory. We observed that Neuroticism correlated negatively with regional activity of the middle frontal gyrus and precuneus; Extraversion correlated positively with regional activity of the striatum, precuneus, and superior frontal gyrus; Openness correlated positively with the thalamus and amygdala, and negatively with the superior frontal gyrus; Conscientiousness correlated positively with regional activity of the middle frontal gyrus and correlated negatively with the cerebellum. Our results revealed the neural substrates of Extraversion, Neuroticism, Openness, and Conscientiousness in the amplitude of spontaneous LFO.

Cognitive and default-mode resting state networks: do male and female brains "rest" differently?

Variability in human behavior related to sex is supported by neuroimaging studies showing differences in brain activation patterns during cognitive task performance. An emerging field is examining the human connectome, including networks of brain regions that are not only temporally-correlated during different task conditions, but also networks that show highly correlated spontaneous activity during a task-free state. Both task-related and task-free network activity has been associated with individual task performance and behavior under certain conditions. Therefore, our aim was to determine whether sex differences exist during a task-free resting state for two networks associated with cognitive task performance (executive control network (ECN), salience network (SN)) and the default mode network (DMN). Forty-nine healthy subjects (26 females, 23 males) underwent a 5-min task-free fMRI scan in a 3T MRI. An independent components analysis (ICA) was performed to identify the best-fit IC for each network based on specific spatial nodes defined in previous studies. To determine the consistency of these networks across subjects we performed self-organizing group-level ICA analyses. There were no significant differences between sexes in the functional connectivity of the brain areas within the ECN, SN, or the DMN. These important findings highlight the robustness of intrinsic connectivity of these resting state networks and their similarity between sexes. Furthermore, our findings suggest that resting state fMRI studies do not need to be controlled for sex.

The neural correlates of Neuroticism differ by sex prospectively mediate depressive symptoms among older women

BACKGROUND

Mood disorders in old age increase the risk of morbidity and mortality for individuals and healthcare costs for society. Trait Neuroticism, a strong risk factor for such disorders into old age, shares common genetic variance with depression, but the more proximal biological mechanisms that mediate this connection are not well understood. Further, whether sex differences in the neural correlates of Neuroticism mirror sex differences in behavioral measures is unknown. The present research identifies sex differences in the stable neural activity associated with Neuroticism and tests whether this activity prospectively mediates Neuroticism and subsequent depressive symptoms.

METHODS

A total of 100 (46 female) older participants (>55years) underwent a resting-state PET scan twice, approximately two years apart, and completed measures of Neuroticism and depressive symptoms twice.

RESULTS

Replicating at both time points, Neuroticism correlated positively with resting-state regional cerebral blood-flow activity in the hippocampus and midbrain in women and the middle temporal gyrus in men. For women, hippocampal activity mediated the association between Neuroticism at baseline and depressive symptoms at follow-up. The reverse mediational model was not significant.

CONCLUSIONS

Neuroticism was associated with stable neural activity in regions implicated in emotional processing and regulation for women but not men. Among women, Neuroticism prospectively predicted depressive symptoms through greater activity in the right hippocampus, suggesting one neural mechanism between Neuroticism and depression for women. Identifying responsible mechanisms for the association between Neuroticism and psychiatric disorders may help guide research on pharmacological interventions for such disorders across the lifespan.

Gating of sensory information differs in patients with interstitial cystitis/painful bladder syndrome

PURPOSE

Altered sensory processing in interstitial cystitis/painful bladder syndrome cases may result from a deficiency of the central nervous system to adequately filter incoming visceral afferent information. We used prepulse inhibition as an operational measure of sensorimotor gating to examine early pre-attentive stages of information processing in females with interstitial cystitis/painful bladder syndrome and healthy controls.

MATERIALS AND METHODS

We assessed prepulse inhibition in 14 female patients with interstitial cystitis/painful bladder syndrome and 17 healthy controls at 60 and 120-millisecond prepulse-to-startle stimulus intervals. We evaluated group differences in prepulse inhibition, and relationships between prepulse inhibition, neuroticism and acute stress ratings.

RESULTS

Patients showed significantly decreased prepulse inhibition at 60 and 120-millisecond prepulse intervals. The prepulse inhibition deficit was related to acute stress ratings in the patients. However, increased neuroticism appeared to mitigate the prepulse inhibition deficit in those with interstitial cystitis/painful bladder syndrome, possibly reflecting greater vigilance.

CONCLUSIONS

Compared to healthy controls, female patients with interstitial cystitis/painful bladder syndrome had decreased ability to adequately filter incoming information and perform appropriate sensorimotor gating. These results suggest that a possible mechanism for altered interoceptive information processing in interstitial cystitis/painful bladder syndrome cases may be a general deficit in filtering mechanisms due to altered pre-attentive processing.

Default network deactivations are correlated with psychopathic personality traits

BACKGROUND

The posteromedial cortex (PMC) and medial prefrontal cortex (mPFC) are part of a network of brain regions that has been found to exhibit decreased activity during goal-oriented tasks. This network is thought to support a baseline of brain activity, and is commonly referred to as the "default network". Although recent reports suggest that the PMC and mPFC are associated with affective, social, and self-referential processes, the relationship between these default network components and personality traits, especially those pertaining to social context, is poorly understood.

METHODOLOGY/PRINCIPAL FINDINGS

In the current investigation, we assessed the relationship between PMC and mPFC deactivations and psychopathic personality traits using fMRI and a self-report measure. We found that PMC deactivations predicted traits related to egocentricity and mPFC deactivations predicted traits related to decision-making.

CONCLUSIONS/SIGNIFICANCE

These results suggest that the PMC and mPFC are associated with processes involving self-relevancy and affective decision-making, consistent with previous reports. More generally, these findings suggest a link between default network activity and personality traits.

Critical examination of a correlation between brain gamma-aminobutyric acid (GABA) concentrations and a personality trait of extroversion in healthy volunteers as measured by a 3 Tesla proton magnetic resonance spectroscopy study

We hypothesized that brain gamma-aminobutyric acid (GABA) levels are associated with neuroticism, a trait associated with depression and anxiety disorders. We examined the correlation between brain GABA concentrations and the five factors included in the NEO Five-Factor Inventory (NEO-FFI) in healthy volunteers using magnetic resonance spectroscopy (MRS) at 3 T. Forty-one healthy subjects (21 males, 20 females; age: 35+/-7 years) were enrolled in this study. Each subject underwent a 3T 1H-MRS study with a MEGA-PRESS sequence. Spectroscopy voxels (3 cm x 3 cm x 3 cm) were placed in the frontal lobe and the parieto-occipital lobe. A negative correlation was found between the GABA/creatine ratios in the frontal lobe and scores of extroversion on the NEO-FFI. These results suggest that GABAergic neurons are related to personality traits of healthy subjects.

Dispositional mindfulness and depressive symptomatology: correlations with limbic and self-referential neural activity during rest

To better understand the relationship between mindfulness and depression, we studied normal young adults (n = 27) who completed measures of dispositional mindfulness and depressive symptomatology, which were then correlated with (a) rest: resting neural activity during passive viewing of a fixation cross, relative to a simple goal-directed task (shape-matching); and (b) reactivity: neural reactivity during viewing of negative emotional faces, relative to the same shape-matching task. Dispositional mindfulness was negatively correlated with resting activity in self-referential processing areas, whereas depressive symptomatology was positively correlated with resting activity in similar areas. In addition, dispositional mindfulness was negatively correlated with resting activity in the amygdala, bilaterally, whereas depressive symptomatology was positively correlated with activity in the right amygdala. Similarly, when viewing emotional faces, amygdala reactivity was positively correlated with depressive symptomatology and negatively correlated with dispositional mindfulness, an effect that was largely attributable to differences in resting activity. These findings indicate that mindfulness is associated with intrinsic neural activity and that changes in resting amygdala activity could be a potential mechanism by which mindfulness-based depression treatments elicit therapeutic improvement.