Social anxiety and threat-related interpretation of dynamic facial expressions: Sensitivity and response bias

Scene effects on disgusted facial expression detection in individuals with social anxiety: The role of emotional intensity

Individuals exhibiting high social anxiety (HSA) typically encounter challenges in identifying threatening stimuli with varying levels of intensity in different social scenes, ultimately affecting their social interactions. However, it is not well understood how social scenes, emotional intensity, and interaction influence the recognition of threat stimuli among HSA individuals (HSAs). To address this issue, a face recognition task was administered to 20 HSA participants and 22 individuals exhibiting low social anxiety (LSA) in this study. Results indicated that during the social scene presentation stage, HSAs produced larger P2 amplitude than LSA individuals (LSAs) no matter the valence of the scenes. During the face recognition stage, HSAs had smaller N170 amplitude than LSAs and exhibited lower recognition time for 2 % disgusted faces compared to LSAs. Furthermore, the consistency between scenes and faces led to faster recognition of disgusted faces in HSAs, but not in LSAs. Consequently, our findings suggested that HSAs exhibited unique cognitive processing patterns in social scenes, manifested by increased attention to scenes and decreased attention to faces. In addition, the emotional congruence between the scene and the faces could facilitate the recognition of faces by HSAs.

Altered mechanisms of adaptation in social anxiety: differences in adapting to positive versus negative emotional faces

Social anxiety is characterised by fear of negative evaluation and negative perceptual biases; however, the cognitive mechanisms underlying these negative biases are not well understood. We investigated a possible mechanism which could maintain negative biases: altered adaptation to emotional faces. Heightened sensitivity to negative emotions could result from weakened adaptation to negative emotions, strengthened adaptation to positive emotions, or both mechanisms. We measured adaptation from repeated exposure to either positive or negative emotional faces, in individuals high versus low in social anxiety. We quantified adaptation strength by calculating the point of subjective equality (PSE) before and after adaptation for each participant. We hypothesised: (1) weaker adaptation to angry vs happy faces in individuals high in social anxiety, (2) no difference in adaptation to angry vs happy faces in individuals low in social anxiety, and (3) no difference in adaptation to sad vs happy faces in individuals high in social anxiety. Our results revealed a weaker adaptation to angry compared to happy faces in individuals high in social anxiety (Experiment 1), with no such difference in individuals low in social anxiety (Experiment 1), and no difference in adaptation strength to sad vs happy faces in individuals high in social anxiety (Experiment 2).

Social Anxiety Symptoms Predict Poorer Facial Emotion Recognition in Autistic Male Adolescents and Young Adults Without Intellectual Disability

Utilizing a novel computerized task, we aimed to examine whether social anxiety symptoms would be related to individual differences in facial emotion recognition (FER) in a sample of autistic male adolescents and young adults without intellectual disability. Results indicated that social anxiety and IQ predicted poorer FER, irrespective of specific emotion type. When probing specific effects within emotion and condition types, social anxiety impacted surprise and disgust FER during a truncated viewing condition and not full viewing condition. Collectively, results suggest that social anxiety in autism may play a larger role in FER than previously thought. Future work should consider the role of social anxiety within autism as a factor that may meaningfully relate to FER assessment and intervention.

Self-processing characteristics from first-person and third-person perspectives in individuals with social anxiety disorder: insights into negative bias

Background

As one of the most common psychological problems, social anxiety disorder (SAD) has lots of negative effects on the physical and mental development of individuals, such as decreasing the quality of interpersonal relationships, and even causing depression, suicidal ideation, etc., as well as leads individuals to generate mental illness stigma. The mental illness stigma that individuals perceive affects not only how they perceive themselves (first-person perspective) but also how they perceive others' appraisals of them (third-person perspective), which further exacerbates their anxiety symptoms.

Objective

The study aims to explore the self-processing characteristics of individuals with social anxiety disorder from the first-person perspective and the third-person perspective.

Methods

This study adopted the self-referential paradigm to conduct the recognition memory test on individuals with social anxiety disorder (30 participants in experiment 1) and individuals without social anxiety disorder (31 participants in experiment 2) in the two experiments.

Results

In experiment 1, the recognition rate of individuals with social anxiety disorder under the self-appraisals condition was significantly higher than that under the condition of appraisals on mothers; in the three conditions of self-appraisals, appraisals on mothers and mothers' reflected appraisals, the recognition rate of negative trait adjectives was significantly higher than that of positive trait adjectives. In experiment 2, there was no significant difference in recognition rate of individuals without social anxiety disorder under the three conditions, and the recognition rate of positive trait adjectives was significantly higher than that of negative trait adjectives under the three conditions.

Conclusion

Individuals with social anxiety disorder have a negative bias in self-processing and are more likely to focus on self-information, which is different from the self-positive bias of individuals without social anxiety disorder. This study can be beneficial to know the self-cognitive characteristics of individuals with social anxiety disorder, help them get rid of negative cognitive patterns, and remove the mental illness stigma.

The role of interpretation biases and safety behaviours in social anxiety: an intensive longitudinal study

BACKGROUND

Interpretation bias and safety behaviours (Safe-B) have been proposed as factors perpetuating social anxiety (SA). However, longitudinal research on how they contribute to SA in everyday life is scarce.

AIM

The aim was to examine whether interpretation bias predicts daily Safe-B and SA. A mediated moderation was hypothesized, where the relationship between daily social stressors and Safe-B would be moderated by interpretation bias, and Safe-B, in turn, would mediate the association between stressors and SA levels. In addition, it was hypothesized that prior levels of SA would predict higher Safe-B use, especially in co-occurrence with stressors.

METHOD

An intensive longitudinal design was employed, with 138 vocational training students (51% men, mean age 20.15 years). They completed initial measures of SA and interpretation bias and 7-day diaries with measures of social stressors, Safe-B, and SA. They reported SA levels two months later.

RESULTS

Both stressors and interpretation bias in ambiguous situations predicted Safe-B, which in turn predicted daily SA levels. However, neither interpretation bias nor Safe-B predicted SA levels at the follow-up, and interpretation bias did not moderate the association between stressors and daily SA. In addition, the relationship between stressors and Safe-B was stronger in people with higher initial SA levels.

CONCLUSIONS

The results suggest that Safe-B are a mechanism through which earlier SA levels and interpretation bias contribute to higher SA levels in daily life.

Negative and positive interpretations of emotionally neutral situations modulate the desire to eat personally craved foods

Emotions play an important role in modulating food craving. Previous studies demonstrated that exposure to negative or positive stimuli can subsequently influence the desire to eat. However, in many daily situations, individuals self-generate their emotions, for example, by interpreting emotionally-neutral situations as positive or negative. So far, no studies have examined if and how positive and negative interpretations of emotionally-neutral situations modulate food craving. In this study, 65 healthy participants were asked to interpret emotionally-neutral images negatively or positively or observe the images naturally. Subsequently, participants rated their state negative/positive affect and their desire to eat their personally craved foods. The results demonstrate a lower desire to eat craved foods after negative interpretations and a higher desire to eat after positive interpretations, compared to an observe-naturally condition. Additionally, the impact of emotional interpretations on the desire to eat was mediated by participants' state negative/positive affect. These findings suggest that self-generated emotion as a result of negative/positive interpretations plays a significant role in modulating food craving. The results highlight the potential of modifying affective interpretations for the treatment of disorders that are characterized by both dysregulated food craving and emotion.

Individual differences in dissimilation: Do some people make more distinctions among targets' personalities than others?

OBJECTIVE

People differ in how positively they tend to see others' traits, but people might also differ in how strongly they apply their perceptual styles. In two studies (Ns = 355, 303), the current research explores individual differences in how variable people's first impressions are across targets (i.e., within-person variability), how and why these differences emerge, and who varies more in their judgments of others.

METHOD

Participants described themselves on personality measures and rated 30 (Study 1) or 90 (Study 2) targets on Big Five traits.

RESULTS

Using the extended Social Relations Model (eSRM), results suggest that within-person variability in impressions is consistent across trait ratings. People lower in extraversion, narcissism and self-esteem tended to make distinctions across targets' Big Five traits that were more consistent with other perceivers (sensitivity). Furthermore, some people more than others tended to consistently make unique distinctions among targets (differentiation), and preliminary evidence suggests these people might be higher in social anxiety and lower in self-esteem and emotional stability.

CONCLUSION

Overall then, a more complete account of person perception should consider individual differences in how variable people's impressions are of others.

Relationship between types of anxiety and the ability to recognize facial expressions

This study examined whether three subtypes of anxiety (trait anxiety, state anxiety, and social anxiety) have different effects on recognition of facial expressions. One hundred and thirty-eight participants matched facial expressions of three intensity levels (20 %, 40 %, 100 %) with one of the six emotion labels ("happy", "sad", "fear", "angry", "disgust", and "surprise"). While using a conventional method of analysis we were able to replicate some significant correlations between each anxiety type and recognition performance found in the literature. However, when we used partial correlation to isolate the effect of each anxiety type, most of these correlations were no longer significant, apart from the negative correlations between Beck Anxiety Inventory and reaction time to fearful faces displayed at 40 % intensity level, and the correlations between anxiety and categorisation errors. Specifically, social anxiety was positively correlated with misidentifying a happy face as a disgust face at 40 % intensity level, and state anxiety negatively correlated with misidentifying a happy face as a sad face at 20 % intensity level. However, these partial correlation analyses became non-significant after p value adjustment for multiple comparisons. Our eye tracking data also showed that state anxiety may be associated with reduced fixations on the eye regions of low-intensity sad or fearful faces. These analyses cast doubts on some effects reported in the previous studies because they are likely to reflect a mixture of influences from highly correlated anxiety subtypes.

Neural evidence of face processing in social anxiety disorder: A systematic review with meta-analysis

Numerous previous studies have used event-related potentials (ERPs) to examine facial processing deficits in individuals with social anxiety disorder (SAD). However, researchers still need to determine whether the deficits are general or specific and what the dominant factors are behind different cognitive stages. Meta-analysis was performed to quantitatively identify face processing deficits in individuals with SAD. Ninety-seven results in 27 publications involving 1032 subjects were calculated using Hedges' g. The results suggest that the face itself elicits enlarged P1 amplitudes, threat-related facial expressions induce larger P2 amplitudes, and negative facial expressions lead to enhanced P3/LPP amplitudes in SAD individuals compared with controls. That is, there is face perception attentional bias in the early phase (P1), threat attentional bias in the mid-term phase (P2), and negative emotion attentional bias in the late phase (P3/LPP), which can be summarized into a three-phase SAD face processing deficit model. These findings provide an essential theoretical basis for cognitive behavioral therapy and have significant application value for the initial screening, intervention, and treatment of social anxiety.

Analysis of attentional biases in anxiety using 24 facial priming sequences

The processing of emotional facial expressions helps people to adjust to the physical and social environment. Furthermore, mental disorders such as anxiety have been linked to attentional biases in the processing of this type of information. Nevertheless, there are still contradictory results that might be due to the methodology used and to individual differences in the manifestation of anxiety. Our research goal was to use 24 facial priming sequences to analyse attentional biases in the detection of facial expressions of fear, considering the levels and the ways in which individuals express anxiety. With higher levels of cognitive anxiety and general trait anxiety, those sequences that began in the upper half (vs. lower half) elicited a speedier response in the detection of fear. The results are discussed within the context of other techniques and disorders that prompt a deficit in the processing of facial information.

Facial mimicry and metacognitive judgments in emotion recognition are distinctly modulated by social anxiety and autistic traits

Facial mimicry as well as the accurate assessment of one's performance when judging others' emotional expressions have been suggested to inform successful emotion recognition. Differences in the integration of these two information sources might explain alterations in the perception of others' emotions in individuals with Social Anxiety Disorder and individuals on the autism spectrum. Using a non-clinical sample (N = 57), we examined the role of social anxiety and autistic traits in the link between facial mimicry, or confidence in one's performance, and emotion recognition. While participants were presented with videos of spontaneous emotional facial expressions, we measured their facial muscle activity, asked them to label the expressions and indicate their confidence in accurately labelling the expressions. Our results showed that confidence in emotion recognition was lower with higher social anxiety traits even though actual recognition was not related to social anxiety traits. Higher autistic traits, in contrast, were associated with worse recognition, and a weakened link between facial mimicry and performance. Consequently, high social anxiety traits might not affect emotion recognition itself, but the top-down evaluation of own abilities in emotion recognition contexts. High autistic traits, in contrast, may be related to lower integration of sensorimotor simulations, which promote emotion recognition.

Use of experimental medicine approaches for the development of novel psychiatric treatments based on orexin receptor modulation

Despite progress in understanding the pathological mechanisms underlying psychiatric disorders, translation from animal models into clinical use remains a significant bottleneck. Preclinical studies have implicated the orexin neuropeptide system as a potential target for psychiatric disorders through its role in regulating emotional, cognitive, and behavioral processes. Clinical studies are investigating orexin modulation in addiction and mood disorders. Here we review performance-outcome measures (POMs) arising from experimental medicine research methods which may show promise as markers of efficacy of orexin receptor modulators in humans. POMs provide objective measures of brain function, complementing patient-reported or clinician-observed symptom evaluation, and aid the translation from preclinical to clinical research. Significant challenges include the development, validation, and operationalization of these measures. We suggest that collaborative networks comprising clinical practitioners, academics, individuals working in the pharmaceutical industry, drug regulators, patients, patient advocacy groups, and other relevant stakeholders may provide infrastructure to facilitate validation of experimental medicine approaches in translational research and in the implementation of these approaches in real-world clinical practice.

Interpretation bias in health anxiety: a systematic review and meta-analysis

Interpretation bias (i.e. the selective negative interpretation of ambiguous stimuli) may contribute to the development and maintenance of health anxiety. However, the strength of the empirical evidence for this association remains a topic of debate. This study aimed to estimate the association between health anxiety and interpretation bias and to identify potential moderators of this association. Chinese-language databases (CNKI, VIP, and Wanfang), English-language databases (Web of Science, PubMed, PsycINFO, and Scopus), and German-language databases (Psyndex and PubPsych) were searched for relevant studies. There were 36 articles (39 studies) identified by this search (N = 8984), of which 32 articles (34 studies) were included in the meta-analysis (N = 8602). Results revealed a medium overall effect size (g = 0.67). Statistically equivalent effect sizes were observed for patients diagnosed with clinical health anxiety (g = 0.58) and subclinical health anxiety (g = 0.72). The effect sizes for threat stimuli that were health related (g = 0.68) and not health related (g = 0.63) did not differ significantly. The effect size for studies using an offline paradigm (g = 0.75) was significantly higher than that for studies using an online paradigm (g = 0.50). It is concluded that health anxiety is significantly and robustly associated with interpretation bias. These findings are of central importance for the advancement of models and treatment of health anxiety.

Threat induction biases processing of emotional expressions

Threats can derive from our physical or social surroundings and bias the way we perceive and interpret a given situation. They can be signaled by peers through facial expressions, as expressed anger or fear can represent the source of perceived threat. The current study seeks to investigate enhanced attentional state and defensive reflexes associated with contextual threat induced through aversive sounds presented in an emotion recognition paradigm. In a sample of 120 healthy participants, response and gaze behavior revealed differences in perceiving emotional facial expressions between threat and safety conditions: Responses were slower under threat and less accurate. Happy and neutral facial expressions were classified correctly more often in a safety context and misclassified more often as fearful under threat. This unidirectional misclassification suggests that threat applies a negative filter to the perception of neutral and positive information. Eye movements were initiated later under threat, but fixation changes were more frequent and dwell times shorter compared to a safety context. These findings demonstrate that such experimental paradigms are capable of providing insight into how context alters emotion processing at cognitive, physiological, and behavioral levels. Such alterations may derive from evolutionary adaptations necessary for biasing cognitive processing to survive disadvantageous situations. This perspective sets up new testable hypotheses regarding how such levels of explanation may be dysfunctional in patient populations.

Emotional Threat Perception and Its Association with Neurocognition in Social Anxiety Disorder

BACKGROUND

The negative appraisal of emotional stimuli is a feature of social anxiety disorder (SAD). People with SAD demonstrate deficits in neurocognitive performance while performing tasks of attention. However, the relationship between attentional control, working memory, and threat perception in SAD has not been studied well. The present study aimed to identify patterns of threat perception in relation to performance on attention and visuospatial working memory tasks in individuals with SAD.

METHODS

Subjects with SAD (n = 27) and a healthy comparative (HC) group (n = 26) completed tasks of sustained and focused attention, visuospatial working memory, computerized emotion identification, and pictorial emotional Stroop.

RESULTS

The SAD group had decreased performance in the domains of sustained (P = 0.001) and focused attention (P = 0.04). They also had an enhanced threat perception as demonstrated by greater reaction time to anger (P = 0.03), lower emotion recognition accuracy (P = 0.05), and higher over-identification of the threat to neutral and nonthreatening faces. However, the Stroop effect was not demonstrated across the groups. No group difference was seen in the performance on the visuospatial working memory tasks. Lower focused attention was significantly correlated with higher emotional threat perception (ETP; P = 0.001) in the SAD group.

CONCLUSION

People with SAD have greater deficits in attention processing and ETP. The attention deficits were associated with enhanced ETP in social anxiety. The link between threat perception and cognitive functions would aid in a better understanding of SAD and in planning appropriate intervention.

Large-scale dysfunctional white matter and grey matter networks in patients with social anxiety disorder

Dysfunction of large-scale brain networks has been implicated in social anxiety disorder (SAD); most work has focused on grey matter (GM) functional connectivity (FC) abnormalities, whereas white matter (WM) FC alterations remain unclear. Here, using a K-means clustering algorithm, we obtained 8 GM and 10 WM functional networks from a cohort dataset (48 SAD patients and 48 healthy controls). By calculating and comparing FC matrices between SAD group and healthy controls, we demonstrated disrupted connections between the limbic and dorsal prefrontal, lateral temporal, and sensorimotor networks, and between the visual and sensorimotor networks. Furthermore, there were negative correlations between HAMD scores and limbic-dorsal prefrontal and limbic-sensorimotor networks, and between illness duration and sensorimotor-visual networks. These findings reflect the critical role of limbic network, with its extensive connections to other networks, and the neurobiology of disordered cognition processing and emotional regulation in SAD.

The Relationship Between Attention, Interpretation, and Memory Bias During Facial Perception in Social Anxiety

Although cognitive theories suggest the interactive nature of information processing biases in contributing to social anxiety, most studies to date have investigated these biases in isolation. This study aimed at (a) testing the association between social anxiety and each of the threat-related cognitive biases: attention, interpretation, and memory bias; and (b) examining the relationship between these cognitive biases in facial perception. We recruited an unselected sample of 188 adult participants and measured their level of social anxiety and cognitive biases using faces displaying angry, disgusted, happy, and ambiguous versions of these expressions. All bias tasks were assessed with the same set of facial stimuli. Regression analyses showed that social anxiety symptoms significantly predicted attention avoidance and poorer sensitivity in recognizing threatening faces. Social anxiety was, however, unrelated to interpretation bias in our sample. Results of path analysis suggested that attention bias influenced memory bias indirectly through interpretation bias for angry but not disgusted faces. Our findings suggest that, regardless of social anxiety level, when individuals selectively oriented to faces displaying anger, the faces were interpreted to be more negative. This, in turn, predicted better memory for the angry faces. The results provided further empirical support for the combined cognitive bias hypothesis.

An exploration of the impact of contextual information on the emotion recognition ability of autistic adults

Studies of non‐autistic individuals and people with an intellectual disability show that contextual information impacts positively on emotion recognition ability, however, this area is not well researched with autistic adults. We investigated this using a static emotion recognition task. Participants completed an emotion recognition task in person or online. In total, 46 autistic participants and 379 non‐autistic participants completed the task. A linear mixed model showed that autistic adults had significantly lower accuracy when identifying emotions across all contexts, compared to control participants, even when contextual information was present. No significant effect of context was found in either group, nor was gender shown to be an influential variable. A supplementary analysis showed that higher scores on the Autism‐Spectrum Quotient led to lower scores on the emotion recognition task; no effect of context was found here either. This research adds to the limited work investigating the influence of contextual factors in emotion recognition in autistic adults. Overall, it shows that context may not aid emotion recognition in this group in the same way as it does for non‐autistic individuals.

Do Psychological Resilience and Emotional Intelligence Vary Among Stress Profiles in University Students? A Latent Profile Analysis

The coronavirus/COVID-19 pandemic has brought about significant changes in the lifestyle of students. However, despite an extensive study of students’ life stress using a non-comprehensive scale and variable-centered approach, it has been little studied with a comprehensive scale and person-centered approach. Using the Student-Life Stress Inventory-revised (SSI-R), we analyzed students’ latent stress profiles and examined differences in psychological resilience and emotional intelligence by comparing stress profiles from a sample of 418 undergraduate and graduate students (aged 18–36) in various departments of eight universities in Turkey. We identified five distinct stress profiles, defined as an extremely low stress group (ELSG), a low stress group (LSG), a medium stress group (MSG), a high stress group (HSG), and an extremely high stress group (EHSG). We found that (1) MSG and HSG were similar in terms of emotional intelligence, resilience, and possession of high standards, and they reported higher levels of physiological, emotional, and behavioral reactions than ELSG and LSG; (2) MSG felt more pressure than HSG; (3) ELSG reported higher levels of emotional intelligence (wellbeing, self-control, and emotionality) than others. Also, EHSG reported lower levels of emotional intelligence (specifically self-control) than others; (4) whereas resilience was highly positively correlated to wellbeing, resilience and wellbeing were moderately negatively correlated to stress. Extremely low stress group and LSG reported higher levels of resilience than others. Medium stress group, HSG, and EHSG did not differ with regard to resilience and wellbeing. Our results suggest that, university students are able to maintain their functionality by coping up with stress in some ways, no matter how stressful they are. These findings are discussed in relation to the relevant literature.

No Evidence for a Role of Oral Contraceptive-Use in Emotion Recognition But Higher Negativity Bias in Early Follicular Women

Accuracy in facial emotion recognition has shown to vary with ovarian hormones, both in naturally cycling women, as well as in women taking oral contraceptives. It remains uncertain however, if specific – endogenous and exogenous – hormonal levels selectively impact recognition of certain basic emotions (or neutral faces) and if this relationship coincides with certain affective states. Therefore, we investigated 86 women under different hormonal conditions and compared their performance in an emotion recognition task as well as self-reported measures of affective states. Based on self-reported cycle days and ovulation testing, the participants have been split into groups of naturally cycling women during their early follicular phase (fNC, n = 30), naturally cycling women during their peri-ovulatory phase (oNC, n = 26), and women taking oral contraceptives (OC, n = 30). Participants were matched for age and did not differ in education or neuropsychological abilities. Self-reported anxiety and depressive affective state scores were similar across groups, but current affective state turned out to be significantly more negative in fNC women. Independent of negative affective state, fNC women showed a significantly higher negativity bias in recognizing neutral faces, resulting in a lower recognition accuracy of neutral faces compared to oNC and OC women. In the OC group only, negative affective state was associated with lower recognition accuracy and longer response times for neutral faces. Furthermore, there was a significant, positive association between disgust recognition accuracy and negative affective state in the fNC group. Low progesterone levels during the early follicular phase were linked to higher negative affective state, whereas in the peri-ovulatory phase they were linked to elevated positive affective state. Overall, previous findings regarding impaired emotion recognition during OC-use were not confirmed. Synthetic hormones did not show a correlation with emotion recognition performance and affective state. Considering the important role of emotion recognition in social communication, the elevated negativity bias in neutral face recognition found for fNC women may adversely impact social interactions in this hormonal phase.

The recognition of dynamic-emotional faces in individuals with high and low social anxiety: An ERP study

Individuals with high social anxiety (HSA) show abnormal processing of emotional faces, which may increase their social anxiety. A growing number of event-related potential (ERP) studies have explored the neural mechanisms underlying the static-emotional face processing of HSA individuals. In view of the ecological validity of dynamic faces, this study will further explore the time course of dynamic-emotional face processing in individuals with HSA. To this end, 30 high and 30 low social anxiety (LSA) participants were asked to perform an identification task of dynamic-emotional faces while their brain responses were recorded using an ERP technique. The behavioral results showed the recognition accuracy of dynamic faces was higher than static faces when these faces were happy. For the P100 component, HSA participants showed higher P100 mean amplitudes of dynamic than static faces in the left hemisphere when they viewed happy, but not angry faces. In addition, increased N170 mean amplitudes of dynamic-happy faces were showed. Furthermore, the LPP mean amplitudes of dynamic faces were smaller than those of static faces. In sum, this study could provide a better understanding of the time course of dynamic-emotional face processing in HSA individuals.

The role of state and trait anxiety in the processing of facial expressions of emotion

State anxiety appears to influence facial emotion processing (Attwood et al. 2017 R. Soc. Open Sci. 4, 160855). We aimed to (i) replicate these findings and (ii) investigate the role of trait anxiety, in an experiment with healthy UK participants (N = 48, 50% male, 50% high trait anxiety). High and low state anxiety were induced via inhalations of 7.5% carbon dioxide enriched air and medical air, respectively. High state anxiety reduced global emotion recognition accuracy (p = 0.01, η p 2 = 0.14 ), but it did not affect interpretation bias towards perceiving anger in ambiguous angry-happy facial morphs (p = 0.18, η p 2 = 0.04 ). We found no clear evidence of a relationship between trait anxiety and global emotion recognition accuracy (p = 0.60, η p 2 = 0.01 ) or interpretation bias towards perceiving anger (p = 0.83, η p 2 = 0.01 ). However, there was greater interpretation bias towards perceiving anger (i.e. away from happiness) during heightened state anxiety, among individuals with high trait anxiety (p = 0.03, d z = 0.33). State anxiety appears to impair emotion recognition accuracy, and among individuals with high trait anxiety, it appears to increase biases towards perceiving anger (away from happiness). Trait anxiety alone does not appear to be associated with facial emotion processing.

Perceptions towards an interaction partner predict social anxiety: an ecological momentary assessment study

Social anxiety occurs in everyday social interactions, yet the real-world factors that shape the moment-to-moment experience of social anxiety have not been fully explored. Using ecological momentary assessments (smartphone-based, five signals a day for 21 days), the present study examined the associations between state social anxiety (SSA) and characteristics of interaction partners in varied contexts, and how these momentary associations differed with trait social anxiety (TSA). Ninety-two participants (54% female, age from 18 to 34) completed 4185 momentary reports. Results from multilevel models showed that perceived judgmentalness and unfamiliarity of interaction partners were positively associated with SSA, and the associations were stronger for the high TSA group (n = 30) compared to a control group (n = 62). Exploratory analyses with various types of interaction partners and social settings revealed noticeable group differences in how the types were associated with SSA (e.g. acquaintance, close friend/romantic partner) and how they influenced the effect of judgmentalness and unfamiliarity on SSA (e.g. authority, work/school). Overall, the findings highlight the role of contextual associations in social anxiety, and the benefits and the need for more comprehensive approaches with EMA in studying social anxiety, particularly its contextual aspects.

ERP evidence for emotional sensitivity in social anxiety

BACKGROUND

Emotional sensitivity involves the ability to recognize and interpret facial expressions. This is very important for interpersonal communication. Previous studies found differences in emotional sensitivity between high social anxiety (HSA) individuals and low social anxiety (LSA) individuals. However, the underlying neural mechanisms are still unclear. The present study explored the effects of expression intensity and social anxiety on emotional sensitivity and their neural mechanisms.

METHODS

The HSA group (n = 20) and the LSA group (n = 20) were asked to recognize anger expressions with different intensities in an emotion recognition task. The hit rate, reaction time, early time window (P1, N170), and late time window (LPP) were recorded.

RESULTS

The results showed that individuals with HSA had a significantly higher hit rate and shorter reaction time than individuals with LSA (p < 0.01). Event-related potential (ERP) results showed that, compared to the LSA group, the HSA group exhibited significantly enhanced N170 and LPP amplitude (p < 0.01). However, the difference in P1 amplitude was not significant (p > 0.05).

LIMITATIONS

The participants in this study were a subclinical social anxiety sample, and the effects of other mood disorders were not excluded, partially limiting the generalizability of the results.

CONCLUSIONS

Our findings suggest that, compared to LSA individuals, HSA individuals are more sensitive to all presented faces. The ERP results indicated that HSA individuals' high sensitivity to threatening expressions is related to stronger structural encoding and fine processing.

Interpretation bias in social anxiety: A systematic review and meta-analysis

BACKGROUND

Interpretation bias, which involves interpreting ambiguous social events negatively and catastrophising even mildly negative social events, has been suggested as a key maintenance factor of Social Anxiety Disorder. Although some individual studies and narrative reviews have demonstrated a role for negative interpretation bias in social anxiety (disorder), findings have been mixed. Given the lack of a quantitative synthesis of the evidence, the current systematic review and meta-analysis examined the strength of the relationship between interpretation bias and social anxiety. It also investigated potential moderators of this relationship (i.e., types of measures and stimuli, samples, and study designs).

METHODS

Five databases (PsycINFO, PubMed, Medline, Scopus, and CINAHL) were searched. Of 46 studies identified, 44 were suitable for meta-analysis (N = 3859).

RESULTS

There was a large effect for the relationship between social anxiety and interpretation bias (g = 0.83). Types of measures (subjective versus objective) and stimuli (verbal versus visual) were identified as significant moderators, with subjective measures and verbal stimuli particularly adept at capturing interpretation bias in socially anxious individuals.

LIMITATIONS

The effect sizes displayed significant heterogeneity between studies, which likely reflects some publication bias, and thus, the overall effect size may be inflated.

CONCLUSION

Findings may help to refine clinical models and interventions for Social Anxiety Disorder, which in turn may maximise evidence-based interventions that target negative interpretation bias in this disorder.

Social anxiety and attention to dynamic disgust facial expression: No more attention captured from evidence of N2pc

In this study we investigated the role of stimulus-driven attention in the attentional bias in individuals with social anxiety using electrophysiological technique. For this purpose, we employed static and dynamic facial expressions as stimuli in a dot-probe task. The results revealed that in behavior high socially anxious (HSA) group had longer response time in incongruent trials than congruent trials, and showed higher trial level-bias score variability than low socially anxious (LSA) group. In electrophysiology, we found that compared to LSA group, HSA group showed an enhanced N2pc amplitude to disgust facial expressions in static condition, whereas this difference was eliminated in dynamic facial expression condition. The results suggest the faces with peak emotion intensity are more likely to capture initial attention of individuals with social anxiety.

Social anxiety and the interpretation of morphed facial expressions following exclusion and inclusion

BACKGROUND AND OBJECTIVES

Negative interpretation biases are postulated to play etiological and maintaining roles in social anxiety (SA). However, empirical support for interpretation biases of facial expression in SA is inconsistent. Given the importance of signals of (dis)approval in SA, our objective was to examine whether SA is associated with enhanced sensitivity to such signals especially following exclusion.

METHODS

In Study 1, participants (N = 139) underwent an exclusion/inclusion manipulation and were then presented with video clips of smiles gradually changing into disgust expressions (smile-to-disgust). In Study 2 (N = 203), participants saw smile-to-disgust as well as disgust-to-smile clips following an exclusion/inclusion manipulation. Participants' task in both studies was to detect the offset of the initial expression.

RESULTS

Results of Study 1 show that detection latency of smiles' disappearance is negatively associated with SA severity. The results of Study 2 suggest that this association is stronger following exclusion, and specific to the smile-to-disgust as opposed to the disgust-to-smile, transitions.

LIMITATIONS

Our studies did not examine whether the observed interpretation bias was specific to SA.

CONCLUSIONS

Our findings support and refine cognitive theories of SA, suggesting that interpretation biases for facial information in SA may be especially pronounced following exclusion.

La baraja del Joker: factores desencadenantes de la conducta agresiva en el paciente con afección pseudobulbar

La trama del Joker nos muestra el surgimiento del antihéroe a partir de Arthur, un individuo con un trastorno llamado afectación pseudobulbar, con antecedentes de abandono y abuso físico severo y maltrato con probable traumatismo encefálico, que vive sin vínculos sociales, carente de afecto, como cuidador primario de una familiar dependiente enteramente de él; el protagonista se mueve en un ambiente adverso, hostil en el que la sociedad que espera que él se comporte como si no tuviera ningún trastorno. un comportamiento normal”. Sin recursos y rechazado por su medio, resulta colateralmente afectado por la reducción de presupuesto para terapia y medicamentos. En un momento decisivo, convergen los diferentes detonantes de sus manifestaciones psicopatológicas que dan paso a la transformación del joker y paradójicamente lo llevarán a ser aceptado socialmente. Joker nos invita a reflexionar sobre la importancia de a los programas de salud mental, los valores humanos, la cultura de la Paz y el buen trato como pilares fundamentales para promover la salud mental en la sociedad. El presente artículo tiene por objetivo el revisitar la fisiopatología de la afección pseudobulbar y establecer los aspectos clínicos, familiares, ambientales y socioculturales potencialmente asociados a la conducta destructiva de Joker.

The Neural Correlates of Face-Voice-Integration in Social Anxiety Disorder

Faces and voices are very important sources of threat in social anxiety disorder (SAD), a common psychiatric disorder where core elements are fears of social exclusion and negative evaluation. Previous research in social anxiety evidenced increased cerebral responses to negative facial or vocal expressions and also generally increased hemodynamic responses to voices and faces. But it is unclear if also the cerebral process of face-voice-integration is altered in SAD. Applying functional magnetic resonance imaging, we investigated the correlates of the audiovisual integration of dynamic faces and voices in SAD as compared to healthy individuals. In the bilateral midsections of the superior temporal sulcus (STS) increased integration effects in SAD were observed driven by greater activation increases during audiovisual stimulation as compared to auditory stimulation. This effect was accompanied by increased functional connectivity with the visual association cortex and a more anterior position of the individual integration maxima along the STS in SAD. These findings demonstrate that the audiovisual integration of facial and vocal cues in SAD is not only systematically altered with regard to intensity and connectivity but also the individual location of the integration areas within the STS. These combined findings offer a novel perspective on the neuronal representation of social signal processing in individuals suffering from SAD.

Social anxiety and sensitivity to social-rank features in male faces

BACKGROUND AND OBJECTIVES

Evolutionary theories propose that socially anxious individuals are especially sensitive to social-rank signals, presumably at the expense of the attunement to signals of affiliation. Despite this theoretical claim, few empirical attempts examined the association between social anxiety (SA) and sensitivity to specific features of social-rank and affiliation. This study aims to fill this gap.

METHOD

Participants (N = 67) completed two tasks in which two emotionally neutral computer-generated male faces of the same character were presented side-by-side. In the Social-Rank-Sensitivity Task, the faces within each pair differed in their level of dominance and, in the Affiliation-Sensitivity Task, the faces differed in their level of trustworthiness. The participants' task was to decide which of the two faces looked more dominant or friendly.

RESULTS

There were no differences in accuracy between high- and low-SA participants in the Affiliation-Sensitivity Task. In contrast, high-SA participants were more accurate than low-SA participants in the Social-Rank-Sensitivity Task. No group differences were found in decision latencies in either task.

LIMITATIONS

Limitations of the study are that a non-clinical sample was used and that only computer-generated male faces were considered.

CONCLUSIONS

Our findings suggest that SA is related to an enhanced ability to discriminate faces based on social-rank features. Examining sensitivity to facial cues signaling social-rank and affiliation may help to specify the nature of social threat sensitivity in SA.

The Influence of Anxiety on the Recognition of Facial Emotion Depends on the Emotion Category and Race of the Target Faces

The recognition of emotional facial expressions is critical for our social interactions. While some prior studies have shown that a high anxiety level is associated with more sensitive recognition of emotion, there are also reports supporting that anxiety did not affect or reduce the sensitivity to the recognition of facial emotions. To reconcile these results, here we investigated whether the effect of individual anxiety on the recognition of facial emotions is dependent on the emotion category and the race of the target faces. We found that, first, there was a significant positive correlation between the individual anxiety level and the recognition sensitivity for angry faces but not for sad or happy faces. Second, while the correlation was significant for both low- and high-intensity angry faces during the recognition of the observer's own-race faces, there was significant correlation only for low-intensity angry faces during the recognition of other-race faces. Collectively, our results suggest that the influence of anxiety on the recognition of facial emotions is flexible depending on the characteristics of the target face stimuli including emotion category and race.

Tuned to voices and faces: Cerebral responses linked to social anxiety

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.

Human Observers and Automated Assessment of Dynamic Emotional Facial Expressions: KDEF-dyn Database Validation

Most experimental studies of facial expression processing have used static stimuli (photographs), yet facial expressions in daily life are generally dynamic. In its original photographic format, the Karolinska Directed Emotional Faces (KDEF) has been frequently utilized. In the current study, we validate a dynamic version of this database, the KDEF-dyn. To this end, we applied animation between neutral and emotional expressions (happy, sad, angry, fearful, disgusted, and surprised; 1,033-ms unfolding) to 40 KDEF models, with morphing software. Ninety-six human observers categorized the expressions of the resulting 240 video-clip stimuli, and automated face analysis assessed the evidence for 6 expressions and 20 facial action units (AUs) at 31 intensities. Low-level image properties (luminance, signal-to-noise ratio, etc.) and other purely perceptual factors (e.g., size, unfolding speed) were controlled. Human recognition performance (accuracy, efficiency, and confusions) patterns were consistent with prior research using static and other dynamic expressions. Automated assessment of expressions and AUs was sensitive to intensity manipulations. Significant correlations emerged between human observers' categorization and automated classification. The KDEF-dyn database aims to provide a balance between experimental control and ecological validity for research on emotional facial expression processing. The stimuli and the validation data are available to the scientific community.

The Perception of Facial Emotional Change in Social Anxiety: An ERP Study

Social anxiety is one of the psychological symptoms that most commonly occur in social interaction. Although previous behavioral studies have investigated the neutral-angry facial emotion change in social anxiety, none of the previous studies have, however, directly investigated the angry-neutral facial emotional change. Furthermore, less is known about the neural correlates of the facial emotion changes in individuals with social anxiety. The main goal of the present study was to explore the perception of facial emotional changes in individuals with social anxiety, using high temporal resolution event-related potential techniques. Behaviorally, accuracy in the angry-neutral facial emotional change trail was lower than that in the neutral-neutral case. Neurally, we found that the N170 amplitudes in angry-neutral facial emotional change trial were larger than those in the neutral-neutral case for high social anxiety (HAS) participants, probably reflecting that they might engage in more analytical processing of different facial elements. Interestingly, HSA participants showed smaller P200 left hemisphere amplitudes in the angry-neutral facial emotional change trial when compared with the neutral-neutral case, which suggested that they might have difficulties in processing emotions when they encounter these facial emotional changes. Finally, the late positive potential amplitudes in the neutral-angry and angry-neutral facial emotional change trials were smaller than those in the neutral-neutral case, regardless of the social anxiety. These results suggest that social anxiety influences the facial emotional changes mainly at an earlier stage of processing.

Impaired facial expression recognition in patients with social anxiety disorder: a case-control study

INTRODUCTION

The aim of this study was to investigate whether social anxiety disorder (SAD) patients have low emotion recognition accuracy, take longer for emotion recognition and tended to interpret a stimulus more negatively than controls.

METHODS

Fifty-six SAD patients and 56 healthy controls were participated in this study. We evaluated facial emotion recognition using a computer program in which participants chose one of seven emotions as displayed in each of 55 photographs of faces. We compared the accuracy and reaction times of the patients and controls. We further analysed which emotions were selected in the incorrect answers.

RESULTS

SAD patients showed delayed reaction times for all emotions except anger and lower accuracy for fear, surprise, neutrality and happiness compared to controls. After applying Bonferroni correction, only delayed reaction time for surprise and happiness were remain significant. Neutrality was not mistaken for a negative emotion at a higher rate by SAD patients than by controls.

CONCLUSION

This result suggests that the alterations of reaction time and accuracy of emotion recognition of SAD patients, especially in emotions with positive valence, play a more important role than negative bias in the cognitive aspects of SAD.

Social anxiety and detection of facial untrustworthiness: Spatio-temporal oculomotor profiles

Cognitive models posit that social anxiety is associated with biased attention to and interpretation of ambiguous social cues as threatening. We investigated attentional bias (selective early fixation on the eye region) to account for the tendency to distrust ambiguous smiling faces with non-happy eyes (interpretative bias). Eye movements and fixations were recorded while observers viewed video-clips displaying dynamic facial expressions. Low (LSA) and high (HSA) socially anxious undergraduates with clinical levels of anxiety judged expressers' trustworthiness. Social anxiety was unrelated to trustworthiness ratings for faces with congruent happy eyes and a smile, and for neutral expressions. However, social anxiety was associated with reduced trustworthiness rating for faces with an ambiguous smile, when the eyes slightly changed to neutrality, surprise, fear, or anger. Importantly, HSA observers looked earlier and longer at the eye region, whereas LSA observers preferentially looked at the smiling mouth region. This attentional bias in social anxiety generalizes to all the facial expressions, while the interpretative bias is specific for ambiguous faces. Such biases are adaptive, as they facilitate an early detection of expressive incongruences and the recognition of untrustworthy expressers (e.g., with fake smiles), with no false alarms when judging truly happy or neutral faces.

Overestimation of threat from neutral faces and voices in social anxiety

BACKGROUND AND OBJECTIVES

Social anxiety (SA) is associated with a tendency to interpret social information in a more threatening manner. Most of the research in SA has focused on unimodal exploration (mostly based on facial expressions), thus neglecting the ubiquity of cross-modality. To fill this gap, the present study sought to explore whether SA influences the interpretation of facial and vocal expressions presented separately or jointly.

METHODS

Twenty-five high socially anxious (HSA) and 29 low socially anxious (LSA) participants completed a forced two-choice emotion identification task consisting of angry and neutral expressions conveyed by faces, voices or combined faces and voices. Participants had to identify the emotion (angry or neutral) of the presented cues as quickly and precisely as possible.

RESULTS

Our results showed that, compared to LSA, HSA individuals show a higher propensity to misattribute anger to neutral expressions independent of cue modality and despite preserved decoding accuracy. We also found a cross-modal facilitation effect at the level of accuracy (i.e., higher accuracy in the bimodal condition compared to unimodal ones). However, such effect was not moderated by SA.

LIMITATIONS

Although the HSA group showed clinical cut-off scores at the Liebowitz Social Anxiety Scale, one limitation is that we did not administer diagnostic interviews. Upcoming studies may want to test whether these results can be generalized to a clinical population.

CONCLUSIONS

These findings highlight the usefulness of a cross-modal perspective to probe the specificity of biases in SA.