Clinical symptomatology and facial emotion recognition in schizophrenia: Which relationship?

2016 ◽  
Vol 33 (S1) ◽  
pp. S96-S96
Author(s):  
A. Arous ◽  
J. Mrizak ◽  
R. Trabelsi ◽  
A. Aissa ◽  
H. Ben Ammar ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Cognitive Abilities ◽  
Social Cognitive ◽  
Psychiatric Symptoms ◽  
Depression Scale ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Psychotic Symptoms ◽  
Facial Emotions ◽  
Competing Interest

IntroductionPatients with schizophrenia show impairments in social cognitive abilities, such as recognizing facial emotions. However, the relationships between specific deficits of emotion recognition and with clusters of psychotic remain unclear.ObjectivesTo explore whether facial emotion recognition was associated with severity of symptoms and to which presentation of psychotic symptoms.MethodsFacial emotion recognition (FER) were evaluated in 58 patients with stable schizophrenia with a newly validated FER task constructed from photographs of the face of a famous Tunisian actress representing the Ekman's six basic emotions (happiness, anger, disgust, sadness, fear, and surprise). Symptomatology evaluation comprised the Positive and Negative Syndrome Scale (PANSS), the Calgary Depression Scale for Schizophrenia (CDSS) and the Clinical Global Impressions Scale Improvement and severity (CGI).ResultsPatients who failed to identify anger had significantly higher scores in hyperactivity item (P < 0.0001). The patients who had a difficulty to identify sadness had more grandiosity (P ≤ 0.002). The impairment in happiness recognition was correlated with hallucination (P = 0.007) and delusion (P = 0.024) items. Incapacity to identify fear was associated to lack of judgment and insight (P = 0.004).ConclusionsDeficits in recognition of specific facial emotions may reflect severity of psychiatric symptoms. They may be related to specific clusters of psychotic symptoms, which need to be confirmed in further studies.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Cognitive impairment and mood disorder in the subacute phase of Ischemic Stroke

2021 ◽  
Author(s):  
Rafael Arantes Oliveira ◽  
Aline Mansueto Mourão ◽  
Aline Silva de Miranda ◽  
Emanuelle Lamas Rocha ◽  
Ester Cristina Pascoal Gomes ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Cognitive Deficits ◽  
Psychiatric Symptoms ◽  
Depression Scale ◽  
Chronic Phase ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Control Group ◽  
Subacute Phase ◽  
Significant Difference

Background: Ischemic strokes (IS) patients usually present cognitive deficits and psychiatric disorders. Studies describe this coexistence in the chronic phase, although alterations may relate with acute damage to emotion and cognition circuits Objectives: Assess cognitive and psychiatric symptoms during the subacute phase of IS. Design and setting: A prospective study, screening patients admitted in the Stroke Unit of Hospital Municipal Odilon Behrens, in Belo Horizonte, Minas Gerais, Brazil. Methods: Adults with acute IS and healthy controls were submitted to neuropsychological tests between 30 and 60 days after the event. Incidental, immediate and working memory, learning, late recall, recognition, phonemic verbal fluency, attention and facial emotion recognition were evaluated. Results: Eighteen patients were evaluated in the subacute phase, and twenty-one participants composed the control group, showing no socioeconomic differences between them. There was significant difference in immediate memory (p <0,01), late recall (p<0,05) and recognition (p<0,03) tests from the Brief Cognitive Screening Battery, and in the depression subscale from Hospital Anxiety and Depression Scale (p <0,04). Although there was no significant difference in Facial Emotion Recognition Test (p=0,745), the expression of sadness positively correlated with levels of anxiety (rho=0,587, p<0,05) and depression (rho=0,598, p<0,01), while the expression of fear negatively correlated with depressive symptoms (rho=0,481, p<0,05). Conclusion: Cognitive deficits and psychiatric symptoms in the subacute phase of IS are probably associated with memory impairments. Furthermore, depression and anxiety symptoms may influence the emotion recognition.

scholarly journals M74. FACIAL EMOTION RECOGNITION ABILITY IN PATIENTS WITH SCHIZOPHRENIA AND OTHER PSYCHOTIC DISORDERS

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S163-S163
Author(s):  
Elin Kjellenberg ◽  
Stefan Winblad
Keyword(s):  
Emotion Recognition ◽  
Psychotic Disorders ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Psychotic Symptoms ◽  
Healthy Controls ◽  
Facial Emotions ◽  
Recognition Ability ◽  
Healthy Control ◽  
Emotion Recognition Ability

Abstract Background Psychotic disorders are associated with impaired facial emotion recognition (FER) and poor functional outcome. Most studies regarding facial emotion recognition have focused on schizophrenia. The aim of this study was to explore FER in patients with different psychotic disorders at psychiatric outpatient facilities. The intention was also to examine if patients diagnosed with schizophrenia differed from patients diagnosed with other psychotic disorders in the ability to recognize facial emotions. Methods FER was examined in forty outpatients, evenly divided between schizophrenia and other psychotic disorders and 33 healthy control persons. The ability to recognize facial emotions was assessed with The Facially Expressed Emotion Labelling (FEEL). To assess the severity of psychotic symptoms in the patient group The Structured Clinical Interview for Symptoms of Remission (SCI-SR) was used. Results Patients performed significantly worse than healthy controls (p&lt;.001, r =-.28) in recognizing facial emotions in general, including expressions of fear, disgust and sadness. Subjects with a schizophrenia diagnosis performed poorer than healthy controls when depicting fear (p&lt;.01, r=.45) or anger (p=.026, r=.36). Compared to other psychotic disorders they were less accurate in recognizing anger (p=.036, r=-.040). We did not find any significant differences between patients with other psychotic disorders and healthy controls in FER. Furthermore, patients performed significantly slower on the FEEL test (p&lt;.001, r=0.44), including both patients with a schizophrenia diagnosis and other psychotic disorders as compared to healthy controls. Patients diagnosed with schizophrenia showed significantly more psychotic symptoms (p= .001, r= -.53). However, there were no significant differences between patients in remission (40 %) and patients with more severe psychotic symptoms regarding the FEEL measures. Discussion In this study, patients with psychotic disorders performed less accurately and slower on the FEEL task as compared to healthy control persons. Patients diagnosed with schizophrenia tended to exhibit more difficulties. The results from this between-group comparison should however be interpreted with caution due to limited statistical power. Since no significant difference in FEEL score was demonstrated between patients in remission and patients suffering from more severe psychotic symptoms, it could be suggested that deficits in FER are independent of current psychotic symptoms. Impaired facial emotion recognition ability may negatively influence social interaction and functional outcome and the results from this study indicate that FER should be further explored in larger cohorts of outpatients with different psychotic disorders.

Ecological momentary facial emotion recognition in psychotic disorders

2021 ◽  
pp. 1-9
Author(s):  
Colin A. Depp ◽  
Snigdha Kamarsu ◽  
Tess F. Filip ◽  
Emma M. Parrish ◽  
Philip D. Harvey ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Gold Standard ◽  
Convergent Validity ◽  
Social Cognitive ◽  
Psychotic Disorders ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Psychotic Symptoms ◽  
Ecological Momentary

Abstract Background Cognitive tasks delivered during ecological momentary assessment (EMA) may elucidate the short-term dynamics and contextual influences on cognition and judgements of performance. This paper provides initial validation of a smartphone task of facial emotion recognition in serious mental illness. Methods A total of 86 participants with psychotic disorders (non-affective and affective psychosis), aged 19–65, were administered in-lab ‘gold standard’ affect recognition, neurocognition, and symptom assessments. They subsequently completed 10 days of the mobile facial emotion recognition task, assessing both accuracy and self-assessed performance, along with concurrent EMA of psychotic symptoms and mood. Validation focused on task adherence and predictors of adherence, gold standard convergent validity, and symptom and diagnostic group variation. Results The mean rate of adherence to the task was 79%; no demographic or clinical variables predicted adherence. Convergent validity was observed with in-lab measures of facial emotion recognition, and no practice effects were observed on the mobile facial emotion recognition task. EMA reports of more severe voices, sadness, and paranoia were associated with worse performance, whereas mood more strongly associated with self-assessed performance. Conclusion The mobile facial emotion recognition task was tolerated and demonstrated convergent validity with in-lab measures of the same construct. Social cognitive performance, and biased judgements previously shown to predict function, can be evaluated in real-time in naturalistic environments.

Beeinträchtigtes Erkennen emotionaler Gesichtsausdrücke durch psychiatrische Patientinnen bei Alexithymie

2013 ◽  
Vol 61 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Daniel Dittrich ◽  
Gregor Domes ◽  
Susi Loebel ◽  
Christoph Berger ◽  
Carsten Spitzer ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Emotional Expression ◽  
Depression Scale ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Check List ◽  
Psychosomatische Erkrankungen ◽  
Psychiatrische Patienten ◽  
Symptom Check List ◽  
Tas 20

Die vorliegende Studie untersucht die Hypothese eines mit Alexithymie assoziierten Defizits beim Erkennen emotionaler Gesichtsaudrücke an einer klinischen Population. Darüber hinaus werden Hypothesen zur Bedeutung spezifischer Emotionsqualitäten sowie zu Gender-Unterschieden getestet. 68 ambulante und stationäre psychiatrische Patienten (44 Frauen und 24 Männer) wurden mit der Toronto-Alexithymie-Skala (TAS-20), der Montgomery-Åsberg Depression Scale (MADRS), der Symptom-Check-List (SCL-90-R) und der Emotional Expression Multimorph Task (EEMT) untersucht. Als Stimuli des Gesichtererkennungsparadigmas dienten Gesichtsausdrücke von Basisemotionen nach Ekman und Friesen, die zu Sequenzen mit sich graduell steigernder Ausdrucksstärke angeordnet waren. Mittels multipler Regressionsanalyse untersuchten wir die Assoziation von TAS-20 Punktzahl und facial emotion recognition (FER). Während sich für die Gesamtstichprobe und den männlichen Stichprobenteil kein signifikanter Zusammenhang zwischen TAS-20-Punktzahl und FER zeigte, sahen wir im weiblichen Stichprobenteil durch die TAS-20 Punktzahl eine signifikante Prädiktion der Gesamtfehlerzahl (β = .38, t = 2.055, p < 0.05) und den Fehlern im Erkennen der Emotionen Wut und Ekel (Wut: β = .40, t = 2.240, p < 0.05, Ekel: β = .41, t = 2.214, p < 0.05). Für wütende Gesichter betrug die Varianzaufklärung durch die TAS-20-Punktzahl 13.3 %, für angeekelte Gesichter 19.7 %. Kein Zusammenhang bestand zwischen der Zeit, nach der die Probanden die emotionalen Sequenzen stoppten, um ihre Bewertung abzugeben (Antwortlatenz) und Alexithymie. Die Ergebnisse der Arbeit unterstützen das Vorliegen eines mit Alexithymie assoziierten Defizits im Erkennen emotionaler Gesichtsausdrücke bei weiblchen Probanden in einer heterogenen, klinischen Stichprobe. Dieses Defizit könnte die Schwierigkeiten Hochalexithymer im Bereich sozialer Interaktionen zumindest teilweise begründen und so eine Prädisposition für psychische sowie psychosomatische Erkrankungen erklären.

scholarly journals Real-Time Facial Emotion Recognition Framework for Employees of Organizations Using Raspberry-Pi

2021 ◽  
Vol 11 (22) ◽  
pp. 10540
Author(s):  
Navjot Rathour ◽  
Zeba Khanam ◽  
Anita Gehlot ◽  
Rajesh Singh ◽  
Mamoon Rashid ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Real Time ◽  
Real Life ◽  
Recognition System ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Raspberry Pi ◽  
Input Device ◽  
Facial Emotions ◽  
Deep Network

There is a significant interest in facial emotion recognition in the fields of human–computer interaction and social sciences. With the advancements in artificial intelligence (AI), the field of human behavioral prediction and analysis, especially human emotion, has evolved significantly. The most standard methods of emotion recognition are currently being used in models deployed in remote servers. We believe the reduction in the distance between the input device and the server model can lead us to better efficiency and effectiveness in real life applications. For the same purpose, computational methodologies such as edge computing can be beneficial. It can also encourage time-critical applications that can be implemented in sensitive fields. In this study, we propose a Raspberry-Pi based standalone edge device that can detect real-time facial emotions. Although this edge device can be used in variety of applications where human facial emotions play an important role, this article is mainly crafted using a dataset of employees working in organizations. A Raspberry-Pi-based standalone edge device has been implemented using the Mini-Xception Deep Network because of its computational efficiency in a shorter time compared to other networks. This device has achieved 100% accuracy for detecting faces in real time with 68% accuracy, i.e., higher than the accuracy mentioned in the state-of-the-art with the FER 2013 dataset. Future work will implement a deep network on Raspberry-Pi with an Intel Movidious neural compute stick to reduce the processing time and achieve quick real time implementation of the facial emotion recognition system.

Impaired Recognition of Negative Facial Emotions in Body Dysmorphic Disorder

2019 ◽  
Vol 25 (08) ◽  
pp. 884-889 ◽  
Author(s):  
Sally A. Grace ◽  
Wei Lin Toh ◽  
Ben Buchanan ◽  
David J. Castle ◽  
Susan L. Rossell
Keyword(s):  
Emotion Recognition ◽  
Face Processing ◽  
Body Dysmorphic Disorder ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Emotional Expressions ◽  
Healthy Controls ◽  
Facial Emotions ◽  
Healthy Control

Abstract Objectives: Patients with body dysmorphic disorder (BDD) have difficulty in recognising facial emotions, and there is evidence to suggest that there is a specific deficit in identifying negative facial emotions, such as sadness and anger. Methods: This study investigated facial emotion recognition in 19 individuals with BDD compared with 21 healthy control participants who completed a facial emotion recognition task, in which they were asked to identify emotional expressions portrayed in neutral, happy, sad, fearful, or angry faces. Results: Compared to the healthy control participants, the BDD patients were generally less accurate in identifying all facial emotions but showed specific deficits for negative emotions. The BDD group made significantly more errors when identifying neutral, angry, and sad faces than healthy controls; and were significantly slower at identifying neutral, angry, and happy faces. Conclusions: These findings add to previous face-processing literature in BDD, suggesting deficits in identifying negative facial emotions. There are treatment implications as future interventions would do well to target such deficits.

scholarly journals Facial Emotion Recognition and Polymorphisms of Dopaminergic Pathway Genes in Children with ASD

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Zhuo Liu ◽  
Jun Liu ◽  
Zengyu Zhang ◽  
Hong Yu ◽  
Fengpei Hu
Keyword(s):  
Emotion Recognition ◽  
Rating Scale ◽  
Multivariate Logistic Regression Analysis ◽  
Autism Spectrum ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Facial Emotions ◽  
Low Intensity ◽  
Children With Asd ◽  
Dopaminergic Pathway

Background. It is inconclusive whether children with autism spectrum disorder (ASD) experience a deficit in facial emotion recognition. The dopaminergic pathway has been implicated in the pathogenesis of ASD. This study was aimed at determining facial emotion recognition and its correlation with polymorphisms in the dopaminergic pathway genes in children with ASD. Methods. Facial emotion recognition was examined in 98 children with ASD and 60 age- and gender-matched healthy controls. The severity of ASD was evaluated using the Childhood Autism Rating Scale (CARS). DNA from blood cells was used to analyze the genotypes of single-nucleotide polymorphisms (SNPs) in dopaminergic pathway genes. SNPs of DBH rs1611115, DDC rs6592961, DRD1 rs251937, DRD2 rs4630328, and DRD3 rs167771 were analyzed. Results. Children with ASD took a significantly longer time to recognize all facial emotions, and their interpretations were less accurate for anger at low intensity and fear at both low and high intensities. The severity of the disease was associated with significant delays in recognition of all facial emotions and with a decrease in accuracy in recognition of happiness and anger at low intensity. Accuracy in recognizing fear at high intensity and sadness at low intensity was associated with rs251937 and rs4630328, respectively, in children with ASD. Multivariate logistic regression analysis revealed that SNP rs167771, response time for the recognition of happiness, sadness and fear, and accuracy in recognition of anger and fear were all associated with the risk of childhood ASD. Conclusions. Children with ASD experience a deficit in facial emotion recognition. Certain SNPs in the dopaminergic pathway genes are associated with accuracy in recognizing selective facial emotions in children with ASD.

scholarly journals Facial emotion recognition in adolescents with psychotic-like experiences: a school-based sample from the general population

2012 ◽  
Vol 42 (10) ◽  
pp. 2157-2166 ◽  
Author(s):  
S. Roddy ◽  
L. Tiedt ◽  
I. Kelleher ◽  
M. C. Clarke ◽  
J. Murphy ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Facial Emotion Recognition ◽  
Self Report ◽  
Facial Emotion ◽  
Psychotic Symptoms ◽  
Cross Sectional ◽  
School Based ◽  
Schizophrenia Spectrum ◽  
Increased Risk ◽  
The Relationship

BackgroundPsychotic symptoms, also termed psychotic-like experiences (PLEs) in the absence of psychotic disorder, are common in adolescents and are associated with increased risk of schizophrenia-spectrum illness in adulthood. At the same time, schizophrenia is associated with deficits in social cognition, with deficits particularly documented in facial emotion recognition (FER). However, little is known about the relationship between PLEs and FER abilities, with only one previous prospective study examining the association between these abilities in childhood and reported PLEs in adolescence. The current study was a cross-sectional investigation of the association between PLEs and FER in a sample of Irish adolescents.MethodThe Adolescent Psychotic-Like Symptom Screener (APSS), a self-report measure of PLEs, and the Penn Emotion Recognition-40 Test (Penn ER-40), a measure of facial emotion recognition, were completed by 793 children aged 10–13 years.ResultsChildren who reported PLEs performed significantly more poorly on FER (β=−0.03, p=0.035). Recognition of sad faces was the major driver of effects, with children performing particularly poorly when identifying this expression (β=−0.08, p=0.032).ConclusionsThe current findings show that PLEs are associated with poorer FER. Further work is needed to elucidate causal relationships with implications for the design of future interventions for those at risk of developing psychosis.

The association between childhood trauma and facial emotion recognition in patients with stable schizophrenia

2016 ◽  
Vol 33 (S1) ◽  
pp. S372-S372 ◽  
Author(s):  
J. Mrizak ◽  
A. Arous ◽  
R. Trabelsi ◽  
A. Aissa ◽  
H. Ben Ammar ◽  
...  
Keyword(s):  
Sexual Abuse ◽  
Emotion Recognition ◽  
Childhood Trauma ◽  
Emotional Abuse ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Significant Feature ◽  
Childhood Trauma Questionnaire ◽  
Physical Neglect ◽  
Competing Interest

IntroductionThe impairment of facial emotion recognition (FER) among patients with schizophrenia (SCZ) is a significant feature of the illness. Childhood trauma (CT) is reported with a high prevalence in SCZ and is considered one of its risk factors.ObjectivesTo investigate the relationship between FER and CT in SCZ.MethodsFifty-eight outpatients with stable SCZ completed the Childhood Trauma Questionnaire retrospectively assessing five types of childhood trauma (emotional, physical and sexual abuse, and emotional and physical neglect). They also completed a newly developed and validated FER task constructed from photographs of the face of a famous Tunisian actress and evaluating the ability to correctly identify Ekman's six basic facial emotions (happiness, sadness, anger, disgust, fear and surprise).ResultsPatients with higher scores of CT performed significantly worse in FER task. Our results suggest that the presence of sexual abuse is specifically correlated to a poor identification of anger (P = 0.02) and disgust (P = 0.03) while the presence of emotional abuse and physical neglect are correlated to a poor identification of happiness and sadness.ConclusionsCT may represent one of the causes of the FER deficits in schizophrenia. Further studies are necessary to confirm the link between specific kinds of childhood trauma and deficits in the recognition of discrete emotions.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Facial emotion recognition in schizotypy: The role of accuracy and social cognitive bias

2010 ◽  
Vol 16 (3) ◽  
pp. 474-483 ◽  
Author(s):  
LAURA A. BROWN ◽  
ALEX S. COHEN
Keyword(s):  
Quality Of Life ◽  
Emotion Recognition ◽  
Social Cognitive ◽  
Rating Scale ◽  
Life Quality ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Schizotypal Personality

AbstractFacial emotion recognition deficits have been widely investigated in individuals with schizophrenia; however, it remains unclear whether these deficits reflect a trait-like vulnerability to schizophrenia pathology present in individuals at risk for the disorder. Although some studies have investigated emotion recognition in this population, findings have been mixed. The current study uses a well-validated emotion recognition task, a relatively large sample, and examines the relationship between emotion recognition, symptoms, and overall life quality. Eighty-nine individuals with psychometrically defined schizotypy and 27 controls completed the Schizotypal Personality Questionnaire, Penn Emotion Recognition Test, and a brief version of Lehman’s Quality of Life Interview. In addition to labeling facial emotions, participants rated the valence of faces using a Likert rating scale. Individuals with schizotypy were significantly less accurate than controls when labeling emotional faces, particularly neutral faces. Within the schizotypy sample, both disorganization symptoms and lower quality of life were associated with a bias toward perceiving facial expressions as more negative. Our results support previous research suggesting that poor emotion recognition is associated with vulnerability to psychosis. Although emotion recognition appears unrelated to symptoms, it probably operates by means of different processes in those with particular types of symptoms. (JINS, 2010, 16, 474–483.)

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