Facial emotion recognition, socio-occupational functioning and expressed emotions in schizophrenia versus bipolar disorder

Family in Crisis: Do Halfway Houses Perform Better Than Families with Expressed Emotion toward Patients with Schizophrenia? A Direct Adjusted Comparison

Expressed emotion (EE) toward patients with schizophrenia is typically reported to be lower in psychiatric halfway houses than in families. This is the first study directly comparing EE between these settings and investigating the pathways mediating EE differences. We included 40 inpatients in halfway houses and 40 outpatients living with their families and recorded 22 psychiatric nurses' and 56 parents' EE, respectively, through Five Minutes Speech Samples. Each inpatient was rated by 2-5 nurses and each outpatient by 1-2 parents. As EE ratings had a multilevel structure, generalized linear mixed models were fitted, adjusting for patient-related confounders and caregiver demographics. Mediatory effects were investigated in multilevel structural equation models. Outpatients were younger, less chronic, and better educated, with higher negative symptoms and perceived criticism than inpatients. Nurses were younger and better educated than parents. Before adjustment, EE rates were equally high across settings. After adjusting for patient-related confounders, emotional overinvolvement was significantly higher in parents. However, after also adjusting for caregiver demographics, only criticism was significantly higher in nurses. Patients' age, negative symptoms, and perceived criticism and caregivers' age and sex significantly mediated EE group differences. Our findings highlight pathways underlying EE differences between halfway houses and families and underscore the importance of staff and family psychoeducation.

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

Facial emotion (or expression) recognition (FER) is a domain of affective cognition impaired across various psychiatric conditions, including bipolar disorder (BD). We conducted a systematic review and meta-analysis searching for eligible articles published from inception to April 26, 2023, in PubMed/MEDLINE, Scopus, EMBASE, and PsycINFO to examine whether and to what extent FER would differ between people with BD and those with other mental disorders. Thirty-three studies comparing 1506 BD patients with 1973 clinical controls were included in the present systematic review, and twenty-six of them were analyzed in random-effects meta-analyses exploring the discrepancies in discriminating or identifying emotional stimuli at a general and specific level. Individuals with BD were more accurate in identifying each type of emotion during a FER task compared to individuals diagnosed with schizophrenia (SCZ) (SMD = 0.27; p-value = 0.006), with specific differences in the perception of anger (SMD = 0.46; p-value = 1.19e-06), fear (SMD = 0.38; p-value = 8.2e-04), and sadness (SMD = 0.33; p-value = 0.026). In contrast, BD patients were less accurate than individuals with major depressive disorder (MDD) in identifying each type of emotion (SMD = -0.24; p-value = 0.014), but these differences were more specific for sad emotional stimuli (SMD = -0.31; p-value = 0.009). No significant differences were observed when BD was compared with children and adolescents diagnosed with attention-deficit/hyperactivity disorder. FER emerges as a potential integrative instrument for guiding diagnosis by enabling discrimination between BD and SCZ or MDD. Enhancing the standardization of adopted tasks could further enhance the accuracy of this tool, leveraging FER potential as a therapeutic target.

Comparisons of facial emotion recognition in different social contexts among patients with schizophrenia, major depressive disorder and bipolar disorder

BACKGROUND

Previous studies have found that patients with schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD) all have facial emotion recognition deficits, but the differences and similarities of these deficits in the three groups of patients under different social interaction situations are not clear. The present study aims to compare the ability of facial emotion recognition in three different conversation situations from a cross-diagnostic perspective.

METHODS

Thirty-three participants with SCZ, 35 participants with MDD, and 30 participants with BD were recruited, along with 31 healthy controls. A computer-based task was given to assess the ability of Facial Emotion Categorization (FEC) under three different conversational situations (praise, blame, and inquiry).

RESULTS

In the "praise" situation, patients with SCZ, MDD and BD were all slower to recognize anger emotion than the healthy controls. In all three clinical groups, patients with SCZ recognized angry faces faster than those with MDD and BD on a continuum from happy faces to angry faces in the "inquiry" situation, while no significant difference was found in the latter two groups. In addition, no significant defect was found in the percentage and threshold of angry face recognition in all three patient groups.

CONCLUSIONS

Our findings indicate that patients with SCZ, MDD, and BD share both common and distinct deficits in facial emotion recognition during social interactions, which may be beneficial for early screening and precise intervention for these mental disorders.

Facial emotion recognition and its association with quality of life and socio-occupational functioning in patients with bipolar disorder and their first-degree relatives

INTRODUCTION

Facial emotion recognition deficits (FERD) are common even in the remitted phase of bipolar disorder (BD). Research regarding FERD in first-degree relatives is inconclusive. This study aimed to assess the facial emotion recognition in remitted patients of bipolar disorder and first-degree relatives(FDR) in comparison with healthy controls. Correlation between FERD and quality of life and socio-occupational functioning was also assessed.

METHODS

It was an observational, cross-sectional study done at a tertiary hospital in India. Study population (n = 75) included remitted patients of bipolar disorder (n = 27), first-degree relatives of BD patients (FDR) (n = 20) and healthy controls (HC) (n = 28). Facial emotion recognition, social and occupational functioning, and quality of life (QoL) was measured using Tool for Recognition of Emotions in Neuropsychiatric Disorders, Social & Occupational Functioning Assessment Scale and World Health Organization Quality of Life-Bref, respectively, in all the participants.

RESULTS

The BD group did significantly worse in facial emotion recognition in comparison to FDR and HC groups (p < 0.001). Emotion recognition of fear, anger, surprise, and happy were most affected. FDR did not vary significantly from HC in facial emotion recognition. Lower scores on facial emotion recognition were associated with lower QoL in the social domain(p = 0.006) and poorer socio- occupational functioning scores (p = 0.01), but it was not significant within the BD group.

CONCLUSION

FERD is seen in remitted patients of bipolar disorder but not in the first -degree relatives. FERD affects social quality of life and functioning. Poorer social functioning in remitted patients of bipolar disorder might be multifactorial and cannot be attributed solely to FERD.

Group and sex differences in social cognition in bipolar disorder, schizophrenia/schizoaffective disorder and healthy people

BACKGROUND

Impairment of social cognition is documented in bipolar disorder (BD) and schizophrenia/schizoaffective disorder (SCH). In healthy individuals, women perform better than men in some of its sub-domains. However, in BD and SCH the results are mixed. Our aim was to compare emotion recognition, affective Theory of Mind (ToM) and first- and second-order cognitive ToM in BD, SCH and healthy subjects, and to investigate sex-related differences.

METHODS

120 patients (BD = 60, SCH = 60) and 40 healthy subjects were recruited. Emotion recognition was assessed by the Pictures of Facial Affect (POFA) test, affective ToM by the Reading the Mind in the Eyes Test (RMET) and cognitive ToM by several false-belief stories. Group and sex differences were analyzed using parametric (POFA, RMET) and non-parametric (false-belief stories) tests. The impact of age, intelligence quotient (IQ) and clinical variables on patient performance was examined using a series of linear/logistic regressions.

RESULTS

Both groups of patients performed worse than healthy subjects on POFA, RMET and second-order false-belief (p < 0.001), but no differences were found between them. Instead, their deficits were related to older age and/or lower IQ (p < 0.01). Subthreshold depression was associated with a 6-fold increased risk of first-order false-belief failure (p < 0.001). Sex differences were only found in healthy subjects, with women outperforming men on POFA and RMET (p ≤ 0.012), but not on first/second-order false-belief.

LIMITATIONS

The cross-sectional design does not allow for causal inferences.

CONCLUSION

BD and SCH patients had deficits in emotion recognition, affective ToM, and second-order cognitive ToM, but their performance was comparable to each other, highlighting that the differences between them may be subtler than previously thought. First-order cognitive ToM remained intact, but subthreshold depression altered their normal functioning. Our results suggest that the advantage of healthy women in the emotional and affective aspects of social cognition would not be maintained in BD and SCH.

The effect of family environment and psychiatric family history on psychosocial functioning in first-episode psychosis at baseline and after 2 years

The aim of the present study was to evaluate the contribution of family environment styles and psychiatric family history on functioning of patients presenting first-episode psychosis (FEP). Patients with FEP and healthy controls (HC) were assessed at baseline and after 2 years. The Functional Assessment Short Test (FAST) was used to assess functional outcome and the Family Environment Scale (FES) to evaluate family environment. Linear regressions evaluated the effect that family environment exerts on functioning at baseline and at 2-year follow-up, when FEP patients were diagnosed according to non-affective (NA-PSYCH) or affective psychoses (A-PSYCH). The influence of a positive parents' psychiatric history on functioning was evaluated through one-way between-groups analysis of covariance (ANCOVA) models, after controlling for family environmental styles. At baseline, FEP patients presented moderate functioning impairment, significantly worse than HC (28.65±16.17 versus 3.25±7.92; p<0.001, g = 1.91). At 2-year follow-up, the functioning of NA-PSYCH patients was significantly worse than in A-PSYCH (19.92±14.83 versus 12.46±14.86; p = 0.020, g = 0.50). No specific family environment style was associated with functioning in FEP patients and HC. On the contrary, a positive psychiatric father's history influenced functioning of FEP patients. After 2 years, worse functioning in NA-PSYCH patients was associated with lower rates of active-recreational and achievement orientated family environment and with higher rates of moral-religious emphasis and control. In A-PSYCH, worse functioning was associated with higher rates of conflict in the family. Both family environment and psychiatric history influence psychosocial functioning, with important implications for early interventions, that should involve both patients and caregivers.

Facial Emotion Recognition Using Transfer Learning in the Deep CNN

Human facial emotion recognition (FER) has attracted the attention of the research community for its promising applications. Mapping different facial expressions to the respective emotional states are the main task in FER. The classical FER consists of two major steps: feature extraction and emotion recognition. Currently, the Deep Neural Networks, especially the Convolutional Neural Network (CNN), is widely used in FER by virtue of its inherent feature extraction mechanism from images. Several works have been reported on CNN with only a few layers to resolve FER problems. However, standard shallow CNNs with straightforward learning schemes have limited feature extraction capability to capture emotion information from high-resolution images. A notable drawback of the most existing methods is that they consider only the frontal images (i.e., ignore profile views for convenience), although the profile views taken from different angles are important for a practical FER system. For developing a highly accurate FER system, this study proposes a very Deep CNN (DCNN) modeling through Transfer Learning (TL) technique where a pre-trained DCNN model is adopted by replacing its dense upper layer(s) compatible with FER, and the model is fine-tuned with facial emotion data. A novel pipeline strategy is introduced, where the training of the dense layer(s) is followed by tuning each of the pre-trained DCNN blocks successively that has led to gradual improvement of the accuracy of FER to a higher level. The proposed FER system is verified on eight different pre-trained DCNN models (VGG-16, VGG-19, ResNet-18, ResNet-34, ResNet-50, ResNet-152, Inception-v3 and DenseNet-161) and well-known KDEF and JAFFE facial image datasets. FER is very challenging even for frontal views alone. FER on the KDEF dataset poses further challenges due to the diversity of images with different profile views together with frontal views. The proposed method achieved remarkable accuracy on both datasets with pre-trained models. On a 10-fold cross-validation way, the best achieved FER accuracies with DenseNet-161 on test sets of KDEF and JAFFE are 96.51% and 99.52%, respectively. The evaluation results reveal the superiority of the proposed FER system over the existing ones regarding emotion detection accuracy. Moreover, the achieved performance on the KDEF dataset with profile views is promising as it clearly demonstrates the required proficiency for real-life applications.

fNIRS study of prefrontal activation during emotion recognition-A Potential endophenotype for bipolar I disorder?

BACKGROUND

Facial emotion recognition (FER) deficit is documented in many psychiatric disorders, including bipolar disorder (BD). However, its role as a risk-marker in BD is not well researched. In the present study, we investigated the role of FER and the corresponding prefrontal neurohemodynamic changes (PNHC) with functional near infra-red spectroscopy (fNIRS) in patients with BD and subjects at high risk for BD compared to healthy subject.

METHODS

Using a cross-sectional case-control design we compared 14 patients with first episode mania (FEM) in remission (BD group), 14 healthy siblings of BD patients (HR group), and 13 matched healthy subjects (HC group). FER was assessed using a computer-based task called Tool for Recognition of Emotions in Neuropsychiatric Disorders (TRENDS). Simultaneously, the corresponding PNHC was recorded with fNIRS. Kruskal Wallis H test was used to analyze between-group differences and Spearman's rho for correlation analysis.

RESULTS

The three groups were comparable on socio-demographics (all p>0.09) except education (p = 0.03). HR group had the most hyper-activation in the bilateral DLPFC during the TRENDS task (all p<0.05). There was no significant between-group differences in the FER performance and no significant correlation between the FER performance and the PNHC in the HR and BD groups (all p>0.35).

LIMITATIONS

The potential confounding effect of medications in the BD group.

CONCLUSIONS

The hyper-activation of the DLPCF in HR group during FER could indicate an increased risk for BD. However, the lack of similar findings in the BD group might reflect a possible normalizing effect of medications. It is equally likely that differences in the PNHC are detectable earlier than the differences in FER task performance during the course of the illness. This requires further exploration.

Cognitive behavioral rehabilitation for bipolar disorder patients: A randomized controlled trial

OBJECTIVES

Bipolar disorder is frequently associated with cognitive impairment even during euthymia. Previous studies have reported significant impairments in functional and quality of life outcomes and a possible relationship between these variables and cognitive performance. Cognitive rehabilitation interventions have been proposed to address these outcomes but positive results are still scarce. The objective of the present study is to evaluate the efficacy of a new intervention developed to address both cognitive and functional impairment.

METHODS

Thirty-nine individuals were included in this randomized controlled trial. All participants were evaluated by the Cambridge Neuropsychological Test Automated Battery (CANTAB) and completed functional and quality of life (QOL) scales. Patients were randomized to either treatment as usual (TAU) or Cognitive Behavior Rehabilitation (CBR), an add-on treatment delivered in 12 weekly group sessions. All individuals were revaluated after 12 weeks.

RESULTS

A total of 39 bipolar type I or II patients were included in the analysis, 19 in the TAU group and 20 in the CBR condition. At the entrance of the study, both groups were statistically similar regarding clinical, socio-demographics and cognitive variables. After the end of the intervention, CBR individuals had significantly improved reaction time, visual memory and emotion recognition. In contrast, individuals in the CBR did not present a statistically change in functional and QOL scores after the 12-week intervention.

CONCLUSIONS

CBR intervention showed promising results in improving some of the commonly impaired cognitive domains in BD. A longer follow-up period may be necessary to detect changes in functional and QOL domains.

Neurophysiological and Psychological Predictors of Social Functioning in Patients with Schizophrenia and Bipolar Disorder

OBJECTIVE

The aim of this study is to examine social functioning in patients with schizophrenia and bipolar disorder and explore the psychological and neurophysiological predictors of social functioning.

METHODS

Twenty-seven patients with schizophrenia and thirty patients with bipolar disorder, as well as twenty-five healthy controls, completed measures of social functioning (questionnaire of social functioning), neurocognition (Verbal fluency, Korean-Auditory Verbal Learning Test), and social cognition (basic empathy scale and Social Attribution Task-Multiple Choice), and the childhood trauma questionnaire (CTQ). For neurophysiological measurements, mismatch negativity and heart rate variability (HRV) were recorded from all participants. Multiple hierarchical regression was performed to explore the impact of factors on social functioning.

RESULTS

The results showed that CTQ-emotional neglect significantly predicted social functioning in schizophrenia group, while HRV-high frequency significantly predicted social functioning in bipolar disorder patients. Furthermore, emotional neglect and HRV-HF still predicted social functioning in all of the subjects after controlling for the diagnostic criteria.

CONCLUSION

Our results implicated that even though each group has different predictors of social functioning, early traumatic events and HRV could be important indicators of functional outcome irrespective of what group they are.

Prosody abilities in a large sample of affective and non-affective first episode psychosis patients

OBJECTIVE

Prosody comprehension deficits have been reported in major psychoses. It is still not clear whether these deficits occur at early psychosis stages. The aims of our study were to investigate a) linguistic and emotional prosody comprehension abilities in First Episode Psychosis (FEP) patients compared to healthy controls (HC); b) performance differences between non-affective (FEP-NA) and affective (FEP-A) patients, and c) association between symptoms severity and prosodic features.

METHODS

A total of 208 FEP (156 FEP-NA and 52 FEP-A) patients and 77 HC were enrolled and assessed with the Italian version of the "Protocole Montréal d'Evaluation de la Communication" to evaluate linguistic and emotional prosody comprehension. Clinical variables were assessed with a comprehensive set of standardized measures.

RESULTS

FEP patients displayed significant linguistic and emotional prosody deficits compared to HC, with FEP-NA showing greater impairment than FEP-A. Also, significant correlations between symptom severity and prosodic features in FEP patients were found.

CONCLUSIONS

Our results suggest that prosodic impairments occur at the onset of psychosis being more prominent in FEP-NA and in those with severe psychopathology. These findings further support the hypothesis that aprosodia is a core feature of psychosis.