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Studies conducted in patients diagnosed with borderline personality disorder (BPD) have documented a variety of anomalies concerning patients' abilities to interpret emotional signals. Attempting to clarify the bases of these anomalies, the current literature draws attention to a possible role of dysfunctional expectations, such as the expectation of social rejection. Dysfunctional expectations, however, may not only bias social interpretations, but may also focus attention on social cues most important in conveying emotional messages, such as nonverbal signals. To explore these assumptions, 30 female BPD patients were tasked to judge the valence of emotional states conveyed by combinations of verbal and nonverbal emotional cues. Compared to controls, BPD patients exhibited a negative bias in their interpretations and relied more on available nonverbal cues. Shifts in the relative importance of nonverbal cues appeared to be rooted mainly in a reduced reliance on positive verbal cues presumably deemed less credible by BPD patients. [ABSTRACT FROM AUTHOR]

Social anxiety disorder (SAD) is characterized by negatively biased perception of social cues and deficits in emotion regulation. While negatively biased perception is thought to maintain social anxiety, emotion regulation represents an ability necessary to overcome both biased perception and social anxiety. Here, we used laughter as a social threat in a functional magnetic resonance imaging (fMRI) study to identify cerebral mediators linking SAD with attention and interpretation biases and their modification through cognitive emotion regulation in the form of reappraisal. We found that reappraisal abolished the negative laughter interpretation bias in SAD and that this process was directly mediated through activation patterns of the left dorsolateral prefrontal cortex (DLPFC) serving as a cerebral pivot between biased social perception and its normalization through reappraisal. Connectivity analyses revealed reduced prefrontal control over threat-processing sensory cortices (here: the temporal voice area) during cognitive emotion regulation in SAD. Our results indicate a central role for the left DLPFC in SAD which might represent a valuable target for future research on interventions either aiming to directly modulate cognitive emotion regulation in SAD or to evaluate its potential as physiological marker for psychotherapeutic interventions relying on emotion regulation. [ABSTRACT FROM AUTHOR]

People diagnosed with autism spectrum disorder (ASD) characteristically present with severe difficulties in interpreting every-day social signals. Currently it is assumed that these difficulties might have neurobiological correlates in alterations in activation as well as in connectivity in and between regions of the social perception network suggested to govern the processing of social cues. In this study, we conducted functional magnetic resonance imaging (fMRI)-based activation and connectivity analyses focusing on face-, voice-, and audiovisual-processing brain regions as the most important subareas of the social perception network. Results revealed alterations in connectivity among regions involved in the processing of social stimuli in ASD subjects compared to typically developed (TD) controls-specifically, a reduced connectivity between the left temporal voice area (TVA) and the superior and medial frontal gyrus. Alterations in connectivity, moreover, were correlated with the severity of autistic traits: correlation analysis indicated that the connectivity between the left TVA and the limbic lobe, anterior cingulate and the medial frontal gyrus as well as between the right TVA and the frontal lobe, anterior cingulate, limbic lobe and the caudate decreased with increasing symptom severity. As these frontal regions are understood to play an important role in interpreting and mentalizing social signals, the observed underconnectivity might be construed as playing a role in social impairments in ASD. [ABSTRACT FROM AUTHOR]

In day-to-day social interaction, emotions are usually expressed by verbal (e.g. spoken words) and nonverbal signals (e.g. facial expressions, prosody). In case of conflicting signals nonverbal signals are perceived as being the more reliable source of information. Deficits in interpreting nonverbal signals – as described for patients with schizophrenic disorders – might interfere with the ability to integrate verbal and nonverbal social cues into a meaningful whole. The aim of this study was to examine how schizophrenic disorders influence the integration of verbal and nonverbal signals. For this purpose short video sequences were presented to 21 patients with schizophrenia and 21 healthy controls. Each sequence showed an actor speaking a short sentence with independently varying emotional connotations at the verbal and the nonverbal level. The participants rated the valence of the speaker's emotional state on a four-point scale (from very negative to very positive). The relative impact of nonverbal cues as compared to verbal cues on these ratings was evaluated. Both groups base their decisions primarily on nonverbal information. However, this effect is significantly less prominent in the patient group. Patients tend to base their decisions less on nonverbal signals and more on verbal information than healthy controls. [ABSTRACT FROM AUTHOR]

Background: Impaired interpretation of nonverbal emotional cues in patients with schizophrenia has been reported in several studies and a clinical relevance of these deficits for social functioning has been assumed. However, it is unclear to what extent the impairments depend on specific emotions or specific channels of nonverbal communication. Methods: Here, the effect of cue modality and emotional categories on accuracy of emotion recognition was evaluated in 21 patients with schizophrenia and compared to a healthy control group (n = 21). To this end, dynamic stimuli comprising speakers of both genders in three different sensory modalities (auditory, visual and audiovisual) and five emotional categories (happy, alluring, neutral, angry and disgusted) were used. Results: Patients with schizophrenia were found to be impaired in emotion recognition in comparison to the control group across all stimuli. Considering specific emotions more severe deficits were revealed in the recognition of alluring stimuli and less severe deficits in the recognition of disgusted stimuli as compared to all other emotions. Regarding cue modality the extent of the impairment in emotional recognition did not significantly differ between auditory and visual cues across all emotional categories. However, patients with schizophrenia showed significantly more severe disturbances for vocal as compared to facial cues when sexual interest is expressed (alluring stimuli), whereas more severe disturbances for facial as compared to vocal cues were observed when happiness or anger is expressed. Conclusion: Our results confirmed that perceptual impairments can be observed for vocal as well as facial cues conveying various social and emotional connotations. The observed differences in severity of impairments with most severe deficits for alluring expressions might be related to specific difficulties in recognizing the complex social emotional information of interpersonal intentions as compared to "basic" emotional states. Therefore, future studies evaluating perception of nonverbal cues should consider a broader range of social and emotional signals beyond basic emotions including attitudes and interpersonal intentions. Identifying specific domains of social perception particularly prone for misunderstandings in patients with schizophrenia might allow for a refinement of interventions aiming at improving social functioning. [ABSTRACT FROM AUTHOR]

The cell surface molecule CD6 is a modulator of T cell receptor (TCR) signaling. Recently, it has been reported that CD6 is downregulated on CD4+ T cells following T cell activation. This mechanism could limit the efficacy of anti-CD6 therapeutical antibodies. We analyzed CD6 expression on activated and non-activated Th1 cells and Th17 cells by flow cytometry. Our experiments confirmed a significant downregulation of CD6 on IFNγ- and IL17-negative CD4+ T cells from healthy individuals and from patients with rheumatoid arthritis following T cell activation with anti-CD3 and anti-CD28 antibodies. In contrast, CD6 expression remained stable on activated Th17 cells and Th1 cells. Th1 and Th17 cells are resistant towards T cell activation-induced downregulation of CD6. These findings are relevant for the future development of CD6 targeting therapies and show that CD6 expression is differentially regulated in CD4+ T cell subsets. • CD6 is downregulated by T cell activation in IFNg- and IL17-negative CD4+ T cells, but not in Th1 and Th17 cells • Resistance towards activation-induced CD6 downregulation is also found in Th1 and Th17 cells from RA patients. • These findings indicate that CD6 is a suitable antigen to target Th1 and Th17 cells in RA. [ABSTRACT FROM AUTHOR]

Background Laughter is a powerful signal of social acceptance or rejection while the fear of being embarrassed and humiliated is central in social anxiety (SA). This type of anxiety is associated with cognitive biases indicating increased sensitivity to social threat as well as with deficits in emotion regulation. Both are thought to be implicated in the maintenance of social anxiety. Methods Using laughter as a novel stimulus, we investigated cognitive biases and their modulation through emotion regulation and cue ambiguity in individuals with varying degrees of SA (N = 60). Results A combination of a negative laughter interpretation bias and an attention bias away from joyful/social inclusive laughter in SA was observed. Both biases were not attributable to effects of general anxiety and were closely correlated with the concept of gelotophobia, the fear of being laughed at. Discussion Thus, our study demonstrates altered laughter perception in SA. Furthermore, it highlights the usefulness of laughter as a highly prevalent social signal for future research on the interrelations of interpretation and attention biases in SA and their modulation through emotion regulation. [ABSTRACT FROM AUTHOR]

While non-verbal affective voice cues are generally recognized as a crucial behavioral guide in any day-to-day conversation their role as a powerful source of information may extend well beyond close-up personal interactions and include other modes of communication such as written discourse or literature as well. Building on the assumption that similarities between the different 'modes' of voice cues may not only be limited to their functional role but may also include cerebral mechanisms engaged in the decoding process, the present functional magnetic resonance imaging study aimed at exploring brain responses associated with processing emotional voice signals described in literary texts. Emphasis was placed on evaluating 'voice' sensitive as well as task- and emotion-related modulations of brain activation frequently associated with the decoding of acoustic vocal cues. Obtained findings suggest that several similarities emerge with respect to the perception of acoustic voice signals: results identify the superior temporal, lateral and medial frontal cortex as well as the posterior cingulate cortex and cerebellum to contribute to the decoding process, with similarities to acoustic voice perception reflected in a 'voice'-cue preference of temporal voice areas as well as an emotion-related modulation of the medial frontal cortex and a task-modulated response of the lateral frontal cortex. [ABSTRACT FROM AUTHOR]

A great number of functional imaging studies contributed to developing a cerebral network model illustrating the processing of prosody in the brain. According to this model, the processing of prosodic emotional signals is divided into three main steps, each related to different brain areas. The present study sought to evaluate parts of the aforementioned model by using low-frequency repetitive transcranial magnetic stimulation (rTMS) over two important brain regions identified by the model: the superior temporal cortex (Experiment 1) and the inferior frontal cortex (Experiment 2). The aim of both experiments was to reduce cortical activity in the respective brain areas and evaluate whether these reductions lead to measurable behavioral effects during prosody processing. However, results obtained in this study revealed no rTMS effects on the acquired behavioral data. Possible explanations for these findings are discussed in the paper. [ABSTRACT FROM AUTHOR]

Laughter plays an important role in group formation, signaling social belongingness by indicating a positive or negative social intention towards the receiver. In adults without autism, the intention of laughter can be correctly differentiated without further contextual information. In autism spectrum disorder (ASD), however, differences in the perception and interpretation of social cues represent a key characteristic of the disorder. Studies suggest that these differences are associated with hypoactivation and altered connectivity among key nodes of the social perception network. How laughter, as a multimodal nonverbal social cue, is perceived and processed neurobiologically in association with autistic traits has not been assessed previously. We investigated differences in social intention attribution, neurobiological activation, and connectivity during audiovisual laughter perception in association with the degree of autistic traits in adults [N = 31, Mage (SD) = 30.7 (10.0) years, nfemale = 14]. An attenuated tendency to attribute positive social intention to laughter was found with increasing autistic traits. Neurobiologically, autistic trait scores were associated with decreased activation in the right inferior frontal cortex during laughter perception and with attenuated connectivity between the bilateral fusiform face area with bilateral inferior and lateral frontal, superior temporal, mid-cingulate and inferior parietal cortices. Results support hypoactivity and hypoconnectivity during social cue processing with increasing ASD symptoms between socioemotional face processing nodes and higher-order multimodal processing regions related to emotion identification and attribution of social intention. Furthermore, results reflect the importance of specifically including signals of positive social intention in future studies in ASD. [ABSTRACT FROM AUTHOR]

The fear of embarrassment and humiliation is the central element of social anxiety. This frequent condition is associated with cognitive biases indicating increased sensitivity to signals of social threat, which are assumed to play a causal role in the maintenance of social anxiety. Here, we employed laughter, a potent medium for the expression of acceptance and rejection, as an experimental stimulus in participants selected for varying degrees of social anxiety to identify cerebral mediators of cognitive biases in social anxiety using functional magnetic resonance imaging in combination with mediation analysis. We directly demonstrated that cerebral activation patterns within the dorsal attention network including the left dorsolateral and dorsomedial prefrontal cortex mediate the influence of social anxiety on laughter perception. This mediation proved to be specific for social anxiety after correction for measures of general state and trait anxiety and occurred most prominently under bimodal audiovisual laughter presentation when compared with monomodal auditory or visual laughter cues. Considering the possibility to modulate cognitive biases and cerebral activity by neuropsychological trainings, non-invasive electrophysiological stimulation and psychotherapy, this study represents a starting point for a whole line of translational research projects and identifies promising targets for electrophysiological interventions aiming to alleviate cognitive biases and symptom severity in social anxiety. [ABSTRACT FROM AUTHOR]

Abstract: While several studies have focused on identifying common brain mechanisms governing the decoding of emotional speech melody, interindividual variations in the cerebral processing of prosodic information, in comparison, have received only little attention to date: Albeit, for instance, differences in personality among individuals have been shown to modulate emotional brain responses, personality influences on the neural basis of prosody decoding have not been investigated systematically yet. Thus, the present study aimed at delineating relationships between interindividual differences in personality and hemodynamic responses evoked by emotional speech melody. To determine personality-dependent modulations of brain reactivity, fMRI activation patterns during the processing of emotional speech cues were acquired from 24 healthy volunteers and subsequently correlated with individual trait measures of extraversion and neuroticism obtained for each participant. Whereas correlation analysis did not indicate any link between brain activation and extraversion, strong positive correlations between measures of neuroticism and hemodynamic responses of the right amygdala, the left postcentral gyrus as well as medial frontal structures including the right anterior cingulate cortex emerged, suggesting that brain mechanisms mediating the decoding of emotional speech melody may vary depending on differences in neuroticism among individuals. Observed trait-specific modulations are discussed in the light of processing biases as well as differences in emotion control or task strategies which may be associated with the personality trait of neuroticism. [Copyright &y& Elsevier]

Background: Although impaired decoding of emotional prosody has frequently been associated with Parkinson's disease (PD), to date only few reports have sought to explore the effect of Parkinson's treatment on disturbances of prosody decoding. In particular, little is known about how surgical treatment approaches such as high frequency deep brain stimulation (DBS) affect emotional speech perception in patients with PD. Accordingly, the objective of this study was to evaluate the effect of subthalamic nucleus (STN) stimulation on prosody processing. Methodology/Principal Findings: To this end the performance of 13 PD patients on three tasks requiring the decoding of emotional speech was assessed and subsequently compared to the performance of healthy control individuals. To delineate the effect of STN-DBS, all patients were tested with stimulators turned on as well as with stimulators turned off. Results revealed that irrespective of whether assessments were made ''on'' or ''off'' stimulation, patients' performance was less accurate as compared to healthy control participants on all tasks employed in this study. However, while accuracy appeared to be unaffected by stimulator status, a facilitation of reactions specific to highly conflicting emotional stimulus material (i.e. stimulus material presenting contradicting emotional messages on a verbal and non-verbal prosodic level) was observed during ''on'' stimulation assessments. Conclusion: In sum, presented results suggest that the processing of emotional speech is indeed modulated by STN-DBS. Observed alterations might, on the one hand, reflect a more efficient processing of highly conflicting stimulus material following DBS. However, on the other hand, given the lack of an improvement in accuracy, increased impulsivity associated with STN stimulation needs to be taken into consideration. [ABSTRACT FROM AUTHOR]

Human nonverbal social signals are transmitted to a large extent by vocal and facial cues. The prominent importance of these cues is reflected in specialized cerebral regions which preferentially respond to these stimuli, e.g. the temporal voice area (TVA) for human voices and the fusiform face area (FFA) for human faces. But it remained up to date unknown whether there are respective specializations during resting state, i.e. in the absence of any cues, and if so, whether these representations share neural substrates across sensory modalities. In the present study, resting state functional connectivity (RSFC) as well as voice- and face-preferential activations were analysed from functional magnetic resonance imaging (fMRI) data sets of 60 healthy individuals. Data analysis comprised seed-based analyses using the TVA and FFA as regions of interest (ROIs) as well as multi voxel pattern analyses (MVPA). Using the face- and voice-preferential responses of the FFA and TVA as regressors, we identified several correlating clusters during resting state spread across frontal, temporal, parietal and occipital regions. Using these regions as seeds, characteristic and distinct network patterns were apparent with a predominantly convergent pattern for the bilateral TVAs whereas a largely divergent pattern was observed for the bilateral FFAs. One region in the anterior medial frontal cortex displayed a maximum of supramodal convergence of informative connectivity patterns reflecting voice- and face-preferential responses of both TVAs and the right FFA, pointing to shared neural resources in supramodal voice and face processing. The association of individual voice- and face-preferential neural activity with resting state connectivity patterns may support the perspective of a network function of the brain beyond an activation of specialized regions. [ABSTRACT FROM AUTHOR]

Emotional communication uses verbal and nonverbal means. In case of conflicting signals, nonverbal information is assumed to have a stronger impact. It is unclear, however, whether perceptual nonverbal dominance varies between individuals and whether it is linked to emotional intelligence. Using audiovisual stimulus material comprising verbal and nonverbal emotional cues that were varied independently, perceptual nonverbal dominance profiles and their relations to emotional intelligence were examined. Nonverbal dominance was found in every participant, ranging from 55 to 100%. Moreover, emotional intelligence, particularly the ability to understand emotions, correlated positively with nonverbal dominance. Furthermore, higher overall emotional intelligence as well as a higher ability to understand emotions were linked to smaller reaction time differences between emotionally incongruent and congruent stimuli. The association between perceptual nonverbal dominance and emotional intelligence, and more specifically the ability to understand emotions, might reflect an adaptive process driven by the experience of higher authenticity in nonverbal cues. [ABSTRACT FROM PUBLISHER]

Abstract: Emotional communication is essential for successful social interactions. Emotional information can be expressed at verbal and nonverbal levels. If the verbal message contradicts the nonverbal expression, usually the nonverbal information is perceived as being more authentic, revealing the “true feelings” of the speaker. The present fMRI study investigated the cerebral integration of verbal (sentences expressing the emotional state of the speaker) and nonverbal (facial expressions and tone of voice) emotional signals using ecologically valid audiovisual stimulus material. More specifically, cerebral activation associated with the relative impact of nonverbal information on judging the affective state of a speaker (individual nonverbal dominance index, INDI) was investigated. Perception of nonverbally expressed emotions was associated with bilateral activation within the amygdala, fusiform face area (FFA), temporal voice area (TVA), and the posterior temporal cortex as well as in the midbrain and left inferior orbitofrontal cortex (OFC)/left insula. Verbally conveyed emotions were linked to increased responses bilaterally in the TVA. Furthermore, the INDI correlated with responses in the left amygdala elicited by nonverbal and verbal emotional stimuli. Correlation of the INDI with the activation within the medial OFC was observed during the processing of communicative signals. These results suggest that individuals with a higher degree of nonverbal dominance have an increased sensitivity not only to nonverbal but to emotional stimuli in general. [Copyright &y& Elsevier]

Voices and faces are the most common sources of threat in social anxiety (SA) where the fear of negative evaluation and social exclusion is the central element. SA itself is spectrally distributed among the general population and its clinical manifestation, termed social anxiety disorder, is one of the most common anxiety disorders. While heightened cerebral responses to angry or contemptuous facial or vocal expressions are well documented, it remains unclear if the brain of socially anxious individuals is generally more sensitive to voices and faces. Using functional magnetic resonance imaging, we investigated how SA affects the cerebral processing of voices and faces as compared to various other stimulus types in a study population with greatly varying SA (N = 50, 26 female). While cerebral voice-sensitivity correlated positively with SA in the left temporal voice area (TVA) and the left amygdala, an association of face-sensitivity and SA was observed in the right fusiform face area (FFA) and the face processing area of the right posterior superior temporal sulcus (pSTSFA). These results demonstrate that the increase of cerebral responses associated with social anxiety is not limited to facial or vocal expressions of social threat but that the respective sensory and emotion processing structures are also generally tuned to voices and faces. [ABSTRACT FROM AUTHOR]

Social anxiety (SA) comprises a multitude of persistent fears around the central element of dreaded negative evaluation and exclusion. This very common anxiety is spectrally distributed among the general population and associated with social perception biases deemed causal in its maintenance. Here, we investigated cerebral resting state markers linking SA and biased social perception. To this end, resting state functional connectivity (RSFC) was assessed as the neurobiological marker in a study population with greatly varying SA using fMRI in the first step of the experiment. One month later the impact of unattended laughter—exemplifying social threat—on a face rating task was evaluated as a measure of biased social perception. Applying a dimensional approach, SA-related cognitive biases tied to the valence, dominance and arousal of the threat signal and their underlying RSFC patterns among central nodes of the cerebral emotion, voice and face processing networks were identified. In particular, the connectivity patterns between the amygdalae and the right temporal voice area met all criteria for a cerebral mediation of the association between SA and the laughter valence-related interpretation bias. Thus, beyond this identification of non-state-dependent cerebral markers of biased perception in SA, this study highlights both a starting point and targets for future research on the causal relationships between cerebral connectivity patterns, SA and biased perception, potentially via neurofeedback methods. [ABSTRACT FROM AUTHOR]

Facial expressions and voice modulations are among the most important communicational signals to convey emotional information. The ability to correctly interpret this information is highly relevant for successful social interaction and represents an integral component of emotional competencies that have been conceptualized under the term emotional intelligence. Here, we investigated the relationship of emotional intelligence as measured with the Salovey-Caruso- Emotional-Intelligence-Test (MSCEIT) with cerebral voice and face processing using functional and structural magnetic resonance imaging. MSCEIT scores were positively correlated with increased voice-sensitivity and gray matter volume of the insula accompanied by voice-sensitivity enhanced connectivity between the insula and the temporal voice area, indicating generally increased salience of voices. Conversely, in the face processing system, higher MSCEIT scores were associated with decreased face-sensitivity and gray matter volume of the fusiform face area. Taken together, these findings point to an alteration in the balance of cerebral voice and face processing systems in the form of an attenuated face-vs-voice bias as one potential factor underpinning emotional intelligence. [ABSTRACT FROM AUTHOR]

Laughter is an ancient signal of social communication among humans and non-human primates. Laughter types with complex social functions (e.g., taunt and joy) presumably evolved from the unequivocal and reflex-like social bonding signal of tickling laughter already present in non-human primates. Here, we investigated the modulations of cerebral connectivity associated with different laughter types as well as the effects of attention shifts between implicit and explicit processing of social information conveyed by laughter using functional magnetic resonance imaging (fMRI). Complex social laughter types and tickling laughter were found to modulate connectivity in two distinguishable but partially overlapping parts of the laughter perception network irrespective of task instructions. Connectivity changes, presumably related to the higher acoustic complexity of tickling laughter, occurred between areas in the prefrontal cortex and the auditory association cortex, potentially reflecting higher demands on acoustic analysis associated with increased information load on auditory attention, working memory, evaluation and response selection processes. In contrast, the higher degree of socio-relational information in complex social laughter types was linked to increases of connectivity between auditory association cortices, the right dorsolateral prefrontal cortex and brain areas associated with mentalizing as well as areas in the visual associative cortex. These modulations might reflect automatic analysis of acoustic features, attention direction to informative aspects of the laughter signal and the retention of those in working memory during evaluation processes. These processes may be associated with visual imagery supporting the formation of inferences on the intentions of our social counterparts. Here, the right dorsolateral precentral cortex appears as a network node potentially linking the functions of auditory and visual associative sensory cortices with those of the mentalizing-associated anterior mediofrontal cortex during the decoding of social information in laughter. [ABSTRACT FROM AUTHOR]