Categorical perception of facial expressions in individuals with non-clinical social anxiety

Gender differences in empathy and clinical symptoms in chronic schizophrenia patients: a large sample study based on a Chinese Han population

BACKGROUND

Empathy is social cognition and reduced empathy in schizophrenia (SCZ) has been noted; however, whether there are gender differences in empathy remains unclear. Therefore, the purpose of this study was to explore this issue by examining a large sample of the population with SCZ.

METHODS

We recruited 987 SCZ patients (M/F = 638/349). The empathy was assessed by The Interpersonal Reactivity Index (IRI). The Positive and Negative Syndrome Scale (PANSS) was adopted to assess their clinical psychiatric symptoms and their ability to recognise the facial emotions of others was assessed by the Pictures Of Facial Affect (POFA).

RESULTS

Female SCZ patients had higher IRI total score than male patients. In male patients, Pearson correlation analysis showed that empathy was negatively correlated with PANSS total score and negative symptom subscale scores, but positively correlated with anger identification. In female patients, IRI total score was negatively correlated with PANSS total score as well as its positive and negative symptom subscale scores (all p < 0.05).

CONCLUSION

There are gender differences in the empathy of SCZ patients, with female patients having greater empathy and a correlation with their clinical symptoms. This gender difference may provide potential clinical value for the treatment of SCZ.KEY POINTSFemale SCZ were more likely to empathise than males;Female patients had more severe clinical symptoms than males;There were gender differences in the association between certain specific clinical presentations and empathy.In future studies, it may be useful to investigate gender differences in schizophrenia empathy for the diagnosis and treatment of the disorder.

Deconstructing Mechanisms of Abnormal Categorical Perception of Emotional Facial Expressions in Schizophrenia Patients

OBJECTIVE

The current study aims to find out the potential reasons why most schizophrenia patients have a relatively low sensitivity to the classification of emotional facial expressions.

METHODS

By using an emotional categorical perception task, eighty-three schizophrenia patients and seventy-one healthy adults are provided with morphed emotional continuums with two emotional facial expressions (a positive emotional valence: happy; a negative emotional valence: sad).

RESULTS

Through comparing the difference between schizophrenia patients and healthy adults in the processes of estimating facial expressions with ambiguous emotions, we find that the pattern of emotional categorical perception for schizophrenia patients is significantly different from that of healthy controls when they process signals on the local facial areas. Compared to healthy people, schizophrenia patients have a significantly separate classification pattern in processing emotional signals between the eyes and mouth regions. It indicates that compared to healthy adults, schizophrenia patients have larger conflicts in integrating emotional signals from different facial areas. To overcome conflicts, more cognitive resources are required. Unfortunately, the lack of cognitive resources leads to the failure of integration, which further increases the difficulty of estimating facial expressions with ambiguous emotions, and finally leads to the relatively low sensitivity of emotional facial expressions classification.

CONCLUSION

To sum up, the deficit of abnormal perceptions of emotional facial expressions in schizophrenia patients results from an integrated deficit of signals on facial areas.

Emotion recognition bias depends on stimulus morphing strategy

Emotion recognition is vital for social interactions, and atypical (or biased) emotion recognition has been linked to mental health disorders including depression and anxiety. However, biases in emotion recognition vary across studies, and it is unclear whether this reflects genuine group differences in psychological processes underlying emotion recognition or differences in methodologies. One common method to measure biases in emotion recognition involves morphing a face between two emotional expressions in different ratios and asking participants to categorise the faces as belonging to one of the two emotion categories (‘direct-morphing’ method). However, this method creates morphed faces that are not ecologically valid. Alternatively, faces may be morphed through a neutral expression (‘morphing-through-neutral’ method), which is more ecologically valid since emotional expressions usually start from a neutral face. To compare these two approaches, we measured emotion recognition biases using two morphing techniques in 136 participants who also completed measures of anxiety (GAD-7) and depression (PHQ-9). Biases obtained using the two methods differed significantly: In the direct-morphing method, participants perceived the central 50% happy/50% angry face as slightly happy, whereas in the morphing-through-neutral method the neutral face was seen as angry. There were no associations between biases and depression or anxiety scores for either morphing method. This study is the first to directly compare emotion recognition biases obtained using two different morphing methods and is a first step towards reconciling discrepancies in the literature.

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 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.