Differences in facial emotion recognition between bipolar disorder and other clinical populations: A systematic review and meta-analysis

Differences in emotion recognition between nonimmersive versus immersive virtual reality: preliminary findings in schizophrenia and bipolar disorder

Deficits in social cognition may impair emotional processing and facial emotional recognition (FER) in patients with bipolar disorder (BD) and schizophrenia. FER is generally explored using photographs or images of static faces that do not fully capture the complexity of real-life facial stimuli. To overcome this limitation, we developed a set of dynamic virtual faces depicting six basic emotions (i.e. happiness, sadness, anger, fear, disgust, and surprise) and a neutral expression suitable for presentation in immersive and nonimmersive virtual realities. This study presents preliminary findings on the differences in FER accuracy from a frontal view between immersive and nonimmersive virtual realities among patients experiencing a relapse of schizophrenia (n = 10), a manic phase of BD (n = 10), and a group of healthy controls (HCs) (n = 10). As a secondary objective, we compare the FER accuracy across these three groups. Patients with schizophrenia and BD showed similar accuracy in recognizing emotions in immersive and nonimmersive virtual reality settings. However, patients with schizophrenia exhibited lower FER accuracy than HCs in both settings. Individuals with BD showed intermediate accuracy between those with schizophrenia and HCs, although these differences were not statistically significant. Notably, recognition of negative emotions was significantly impaired in both groups of patients.

Highest correlations between emotion regulation strategies and mood symptoms in bipolar disorder: A systematic review and Bayesian network meta-analysis

Bipolar disorder (BD) is associated with alterations in emotion regulation (ER) strategies, with both depressive and (hypo)manic symptoms correlated with utilization of maladaptive instead of adaptive strategies. However, which ER strategies are the most affected during the most severe mood symptoms remains unclear despite the potentially relevant treatment implications. To this end, we conducted a systematic review and Bayesian network meta-analysis (NMA) of studies documenting correlations between ER and depressive and (hypo)manic symptoms of BD, from inception until November 9th, 2023. We included 15 studies in the review, 14 of which provided data to conduct a Bayesian NMA. Rumination emerged as the ER strategy most strongly associated with both depressive (ES=0.43, 95 %CrI=0.27,0.59) and (hypo)manic symptoms (ES=0.26, 95 %CrI=0.05,0.46) of BD. Other ER strategies showed associations primarily with depressive symptoms. There was no significant heterogeneity or network inconsistency. These findings emphasize the importance of rumination in BD and suggest that altered ER strategies are more evident in depressive symptoms rather than (hypo)manic ones. While promising for targeted interventions, these results are based on cross-sectional data, limiting causal interpretation. Future longitudinal studies are necessary to clarify the temporal dynamics of the relationship between affective symptoms and ER in BD.

Impaired facial emotion recognition in individuals with bipolar disorder

BACKGROUND

Individuals with bipolar disorder (BD) often struggle with emotional regulation and social interactions, partly due to difficulties in accurately recognizing facial emotions.

METHODS

From September 2021 to February 2023, 69 BD individuals-comprising 23 with bipolar manic/hypomanic episode (BME), 23 with bipolar depressive episode (BDE), 23 with bipolar euthymic (EUT)-and 23 healthy controls (HCs) were enrolled. Diagnosis adhered to DSM-IV criteria using M.I.N.I 5.0, alongside assessments via Hamilton Depression Scale 17 and Young Manic Rating Scale. Recognition tasks involving 84 facial expression images across six categories. The Wilcoxon rank-sum test compares two groups, while the Kruskal-Wallis test compares multiple groups with subsequent adjusted pairwise comparisons.

RESULTS

The overall correct recognition rate of facial expressions in the BD group (79 %) was significantly lower than that of the HC group (83 %) (P=0.004). Primary differences were noted in neutral (93 % vs. 100 %, P=0.012) and fear (79 % vs. 86 %, P=0.023) expressions. Within the BD group, correct recognition rates were 71 % for BME, 80 % for BDE, and 80 % for EUT, all lower than in the HC group. Significant differences in correct recognition rates of neutral, fear, and joy expressions were observed among the four groups (P<0.05), with the BME group exhibiting the lowest rate. Misidentification of facial expressions was more frequent in the BD group compared to the HC group, particularly among negative expressions.

CONCLUSION

Patients with BD demonstrate lower correct recognition and higher misidentification rates of facial expressions, with those experiencing manic episodes showing impaired recognition of neutral, joy, and fear expressions.

Social dysfunction relates to shifts within socioaffective brain systems among Schizophrenia and Alzheimer's disease patients

Social dysfunction represents one of the most common signs of neuropsychiatric disorders, such as Schizophrenia (SZ) and Alzheimer's disease (AD). Perturbed socioaffective neural processing is crucially implicated in SZ/AD and generally linked to social dysfunction. Yet, transdiagnostic properties of social dysfunction and its neurobiological underpinnings remain unknown. As part of the European PRISM project, we examined whether social dysfunction maps onto shifts within socioaffective brain systems across SZ and AD patients. We probed coupling of social dysfunction with socioaffective neural processing, as indexed by an implicit facial emotional processing fMRI task, across SZ (N = 46), AD (N = 40) and two age-matched healthy control (HC) groups (N = 26 HC-younger and N = 27 HC-older). Behavioural (i.e., social withdrawal, interpersonal dysfunction, diminished prosocial or recreational activity) and subjective (i.e., feelings of loneliness) aspects of social dysfunction were assessed using the Social Functioning Scale and De Jong-Gierveld loneliness questionnaire, respectively. Across SZ/AD/HC participants, more severe behavioural social dysfunction related to hyperactivity within fronto-parieto-limbic brain systems in response to sad emotions (P = 0.0078), along with hypoactivity of these brain systems in response to happy emotions (P = 0.0418). Such relationships were not found for subjective experiences of social dysfunction. These effects were independent of diagnosis, and not confounded by clinical and sociodemographic factors. In conclusion, behavioural aspects of social dysfunction across SZ/AD/HC participants are associated with shifts within fronto-parieto-limbic brain systems. These findings pinpoint altered socioaffective neural processing as a putative marker for social dysfunction, and could aid personalized care initiatives grounded in social behaviour.

Development of a tool for infant facial emotion recognition (InFER) for postpartum mothers with mental illnesses

Understanding deficits in recognition of infant emotions in mothers with mental illnesses is limited by the lack of validated instruments. We present the development and content validation of the infant facial emotion recognition tool (InFER) in India to examine the ability of mothers to detect the infants' emotions. A total of 164 images of infant faces in various emotional states were gathered from the parents of four infants (two male and two female: up to 12 months old). Infant emotion in each image was identified by the respective mother. Content validation was carried out by 21 experts. Images with ≥70% concordance among experts were selected. The newly developed tool, InFER, consists of a total 39 infant images representing the six basic emotions. This tool was then administered among mothers during their postpartum period-10 healthy mothers and 10 mothers who had remitted from any schizophrenia spectrum disorder, bipolar affective disorder or major depressive disorder. The mean age and mean years of education for both groups were comparable (age∼25 years, education ∼15 years). A significant difference was found between the two groups in their ability to recognize infant emotions (Mann-Whitney U = 12.5; p = 0.004). InFER is a promising tool in Indian settings for understanding maternal recognition of infant emotions.

Facial emotion-recognition deficits in patients with schizophrenia and unaffected first-degree relatives

Introduction

This study aimed to determine trait- and state-dependent markers of schizophrenia by investigating facial emotion-recognition (FER) deficits in remitted patients with schizophrenia and their first-degree relatives (FR).

Methods

Three groups were included: the Schizophrenia group (n=66), their unaffected FR group (n=40), and healthy controls (n=50) who were matched for age, sex, and years of education. A facial-labeling task was used to examine FER deficits using the following eight standardized expressions: happy, fearful, disgusted, angry, sad, contemptuous, surprised, and neutral.

Results

There was a poorer accuracy in the recognition of sadness and anger in the Schizophrenia group as well as in contempt in both the Schizophrenia and FR groups compared with healthy controls. The response times for the recognition of contempt, sadness, and neutral emotion were delayed in the Schizophrenia group and those for fear were delayed in the Schizophrenia and FR groups compared with healthy controls.

Conclusion

Concerning the accuracy in FER, sadness and anger can be considered state-dependent markers of remitted schizophrenia, and contempt is a trait-dependent marker of schizophrenia. Similarly, for response times in FER, contempt, sadness, and neutral emotion can be considered state-dependent markers of remitted schizophrenia, while fear is considered a trait-dependent marker of schizophrenia. These findings may contribute to the early diagnosis of schizophrenia and the development of relevant therapeutic interventions.

A critical overview of emotion processing assessment in non-affective and affective psychoses

AIMS

Patients with affective and non-affective psychoses show impairments in both the identification and discrimination of facial affect, which can significantly reduce their quality of life. The aim of this commentary is to present the strengths and weaknesses of the available instruments for a more careful evaluation of different stages of emotion processing in clinical and experimental studies on patients with non-affective and affective psychoses.

METHODS

We reviewed the existing literature to identify different tests used to assess the ability to recognise (e.g. Ekman 60-Faces Test, Facial Emotion Identification Test and Penn Emotion Recognition Test) and to discriminate emotions (e.g. Face Emotion Discrimination Test and Emotion Differentiation Task).

RESULTS

The current literature revealed that few studies combine instruments to differentiate between different levels of emotion processing disorders. The lack of comprehensive instruments that integrate emotion recognition and discrimination assessments prevents a full understanding of patients' conditions.

CONCLUSIONS

This commentary underlines the need for a detailed evaluation of emotion processing ability in patients with non-affective and affective psychoses, to characterise the disorder at early phases from the onset of the disease and to design rehabilitation treatments.