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 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<.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<.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<.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.

Facial affect recognition: Electrophysiological findings in schizophrenia

2011 ◽  
Vol 26 (S2) ◽  
pp. 424-424
Author(s):  
S. Komlosi ◽  
G. Csukly ◽  
G. Stefanics ◽  
I. Czigler ◽  
P. Czobor
Keyword(s):  
Emotion Recognition ◽  
Face Processing ◽  
Emotion Processing ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Affect Recognition ◽  
Healthy Controls ◽  
Emotional Face Processing ◽  
Facial Emotion Processing ◽  
Emotional Face

IntroductionWhile deficits in facial emotion recognition in schizophrenia have consistently been shown, the underlying neuronal mechanisms remain unclear. Electrophysiological measures, such as event-related brain potentials related to facial emotion recognition yield insight into the time course of recognizing emotional faces.ObjectivesIn our study we aimed to delineate the neurophysiological correlates of facial emotion recognition and to investigate where, when, and what components in the course of emotional information processing show impairment in schizophrenia.MethodologyWe collected data using a 128-channel EEG recording system for testing an experimental facial emotion recognition paradigm with 20 patients with schizophrenia and 20 matched healthy controls. Subjects were presented fearful and neutral emotional facial expressions on a monitor and asked to make decisions via a button press relating to either the gender or the emotion of the presented face.ResultsOur findings revealed that ERPs of pateints with schizophrenia significantly differed from those of matched healthy controls in several components and areas characteristic to facial emotion processing, showing differences in both early and late ERP components of emotional face processing. Significant main effects of task (gender vs emotion) and emotion (fear vs neutral) were also found.ConclusionThe finding that patients with schizophrenia, as compared to healthy controls, show differences in emotional face processing in several cortical areas and time intervals underlines the hypotheses that a deficit in affect recognition may originate from the impairment of a distributed facial emotion recognition network, including both early perceptual and later phases of facial emotion processing.

scholarly journals Complex facial emotion recognition and atypical gaze patterns in autistic adults

Autism ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 258-262 ◽  
Author(s):  
Melissa H Black ◽  
Nigel TM Chen ◽  
Ottmar V Lipp ◽  
Sven Bölte ◽  
Sonya Girdler
Keyword(s):  
Emotion Recognition ◽  
Visual Information ◽  
Eye Gaze ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Emotional Expressions ◽  
Gaze Patterns ◽  
Gaze Behaviour ◽  
Autistic Adults

While altered gaze behaviour during facial emotion recognition has been observed in autistic individuals, there remains marked inconsistency in findings, with the majority of previous research focused towards the processing of basic emotional expressions. There is a need to examine whether atypical gaze during facial emotion recognition extends to more complex emotional expressions, which are experienced as part of everyday social functioning. The eye gaze of 20 autistic and 20 IQ-matched neurotypical adults was examined during a facial emotion recognition task of complex, dynamic emotion displays. Autistic adults fixated longer on the mouth region when viewing complex emotions compared to neurotypical adults, indicating that altered prioritization of visual information may contribute to facial emotion recognition impairment. Results confirm the need for more ecologically valid stimuli for the elucidation of the mechanisms underlying facial emotion recognition difficulty in autistic individuals.

scholarly journals Lighting for pedestrians: Does multi-tasking affect the performance of typical pedestrian tasks?

2021 ◽  
pp. 147715352110026
Author(s):  
Y Mao ◽  
S Fotios
Keyword(s):  
Emotion Recognition ◽  
Recognition Task ◽  
Obstacle Detection ◽  
Detection Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Impaired Performance ◽  
Lighting Conditions ◽  
Multiple Tasks ◽  
Visual Tasks

Obstacle detection and facial emotion recognition are two critical visual tasks for pedestrians. In previous studies, the effect of changes in lighting was tested for these as individual tasks, where the task to be performed next in a sequence was known. In natural situations, a pedestrian is required to attend to multiple tasks, perhaps simultaneously, or at least does not know which of several possible tasks would next require their attention. This multi-tasking might impair performance on any one task and affect evaluation of optimal lighting conditions. In two experiments, obstacle detection and facial emotion recognition tasks were performed in parallel under different illuminances. Comparison of these results with previous studies, where these same tasks were performed individually, suggests that multi-tasking impaired performance on the peripheral detection task but not the on-axis facial emotion recognition task.

Facial emotion recognition and its relationship to cognition and depressive symptoms in patients with Parkinson's disease

2016 ◽  
Vol 28 (7) ◽  
pp. 1165-1179 ◽  
Author(s):  
J. Pietschnig ◽  
L. Schröder ◽  
I. Ratheiser ◽  
I. Kryspin-Exner ◽  
M. Pflüger ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Emotion Recognition ◽  
Recognition Performance ◽  
Neuropsychological Test ◽  
Test Battery ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Healthy Controls ◽  
Amnestic Mci ◽  
Cognitively Intact

ABSTRACTBackground:Impairments in facial emotion recognition (FER) have been detected in patients with Parkinson disease (PD). Presently, we aim at assessing differences in emotion recognition performance in PD patient groups with and without mild forms of cognitive impairment (MCI) compared to healthy controls.Methods:Performance on a concise emotion recognition test battery (VERT-K) of three groups of 97 PD patients was compared with an age-equivalent sample of 168 healthy controls. Patients were categorized into groups according to two well-established classifications of MCI according to Petersen's (cognitively intact vs. amnestic MCI, aMCI, vs. non-amnestic MCI, non-aMCI) and Litvan's (cognitively intact vs. single-domain MCI, sMCI, vs. multi-domain MCI, mMCI) criteria. Patients and controls underwent individual assessments using a comprehensive neuropsychological test battery examining attention, executive functioning, language, and memory (Neuropsychological Test Battery Vienna, NTBV), the Beck Depression Inventory, and a measure of premorbid IQ (WST).Results:Cognitively intact PD patients and patients with MCI in PD (PD-MCI) showed significantly worse emotion recognition performance when compared to healthy controls. Between-groups effect sizes were substantial, showing non-trivial effects in all comparisons (Cohen's ds from 0.31 to 1.22). Moreover, emotion recognition performance was higher in women, positively associated with premorbid IQ and negatively associated with age. Depressive symptoms were not related to FER.Conclusions:The present investigation yields further evidence for impaired FER in PD. Interestingly, our data suggest FER deficits even in cognitively intact PD patients indicating FER dysfunction prior to the development of overt cognitive dysfunction. Age showed a negative association whereas IQ showed a positive association with FER.

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.

Affective functioning and social cognition in Noonan syndrome

2011 ◽  
Vol 42 (2) ◽  
pp. 419-426 ◽  
Author(s):  
E. Wingbermühle ◽  
J. I. M. Egger ◽  
W. M. A. Verhoeven ◽  
I. van der Burgt ◽  
R. P. C. Kessels
Keyword(s):  
Social Cognition ◽  
Emotion Recognition ◽  
Noonan Syndrome ◽  
Heart Defects ◽  
Genetic Disorder ◽  
Recognition Task ◽  
Well Being ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Clinical Group

BackgroundNoonan syndrome (NS) is a common genetic disorder, characterized by short stature, facial dysmorphia, congenital heart defects and a mildly lowered IQ. Impairments in psychosocial functioning have often been suggested, without, however, systematic investigation in a clinical group. In this study, different aspects of affective processing, social cognition and behaviour, in addition to personal well-being, were assessed in a large group of patients with NS.MethodForty adult patients with NS were compared with 40 healthy controls, matched with respect to age, sex, intelligence and education level. Facial emotion recognition was measured with the Emotion Recognition Task (ERT), alexithymia with both the 20-item Toronto Alexithymia Scale (TAS-20) and the Bermond–Vorst Alexithymia Questionnaire (BVAQ), and mentalizing with the Theory of Mind (ToM) test. The Symptom Checklist-90 Revised (SCL-90-R) and the Scale for Interpersonal Behaviour (SIB) were used to record aspects of psychological well-being and social interaction.ResultsPatients showed higher levels of cognitive alexithymia than controls. They also experienced more social distress, but the frequency of engaging in social situations did not differ. Facial emotion recognition was only slightly impaired.ConclusionsHigher levels of alexithymia and social discomfort are part of the behavioural phenotype of NS. However, patients with NS have relatively intact perception of emotions in others and unimpaired mentalizing. These results provide insight into the underlying mechanisms of social daily life functioning in this patient group.

scholarly journals Taking It at “Face Value”: The Use of Face Processing Strategies in Bipolar Disorder and Schizophrenia

2016 ◽  
Vol 22 (6) ◽  
pp. 652-661 ◽  
Author(s):  
Nicole Joshua ◽  
Tamsyn E. Van Rheenen ◽  
David J Castle ◽  
Susan L. Rossell
Keyword(s):  
Bipolar Disorder ◽  
Emotion Recognition ◽  
Face Processing ◽  
Preliminary Evidence ◽  
Second Order ◽  
Facial Emotion Recognition ◽  
Inversion Effect ◽  
Facial Emotion ◽  
Processing Strategies ◽  
Configural Face Processing

AbstractObjectives: Use of appropriate face processing strategies is important for facial emotion recognition, which is known to be impaired in schizophrenia (SZ) and bipolar disorder (BD). There is preliminary evidence of abnormalities in the use of face processing strategies in the former, but there has been no explicit attempt to assess face processing in patients with BD. Methods: Twenty-eight BD I, 28 SZ, and 28 healthy control participants completed tasks assessing featural and configural face processing. The facial inversion effect was used as a proxy of second order configural face processing and compared to featural face processing performance (which is known to be relatively less affected by facial inversion). Results: Controls demonstrated the usual second-order inversion pattern. In the BD group, the absence of a second-order configural inversion effect in the presence of a disproportionate bias toward a featural inversion effect was evident. Despite reduced accuracy performance in the SZ group compared to controls, this group unexpectedly showed a normal second-order configural accuracy inversion pattern. This was in the context of a reverse inversion effect for response latency, suggesting a speed-versus-accuracy trade-off. Conclusions: To our knowledge, this is the first study to explicitly examine and contrast face processing in BD and SZ. Our findings indicate a generalized impairment on face processing tasks in SZ, and the presence of a second-order configural face processing impairment in BD. It is possible that these face processing impairments represent a catalyst for the facial emotion recognition deficits that are commonly reported in the literature. (JINS, 2016, 22, 652–661)

Facial Affect Recognition in Myasthenia Gravis

2013 ◽  
Vol 16 ◽  
Author(s):  
Esther Lázaro ◽  
Imanol Amayra ◽  
Juan Francisco López-Paz ◽  
Amaia Jometón ◽  
Natalia Martín ◽  
...  
Keyword(s):  
Reaction Time ◽  
Emotion Recognition ◽  
Facial Expressions ◽  
Recognition Accuracy ◽  
Facial Affect ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Healthy Controls ◽  
Emotional Facial Expressions ◽  
Clinical Neurological Examination

AbstractThe assessment of facial expression is an important aspect of a clinical neurological examination, both as an indicator of a mood disorder and as a sign of neurological damage. To date, although studies have been conducted on certain psychosocial aspects of myasthenia, such as quality of life and anxiety, and on neuropsychological aspects such as memory, no studies have directly assessed facial emotion recognition accuracy. The aim of this study was to assess the facial emotion recognition accuracy (fear, surprise, sadness, happiness, anger, and disgust), empathy, and reaction time of patients with myasthenia. Thirty-five patients with myasthenia and 36 healthy controls were tested for their ability to differentiate emotional facial expressions. Participants were matched with respect to age, gender, and education level. Their ability to differentiate emotional facial expressions was evaluated using the computer-based program Feel Test. The data showed that myasthenic patients scored significantly lower (p < 0.05) than healthy controls in the total Feel score, fear, surprise, and higher reaction time. The findings suggest that the ability to recognize facial affect may be reduced in individuals with myasthenia.

scholarly journals Facial emotion processing in schizophrenia: a non-specific neuropsychological deficit?

2009 ◽  
Vol 40 (6) ◽  
pp. 911-919 ◽  
Author(s):  
E. Pomarol-Clotet ◽  
F. Hynes ◽  
C. Ashwin ◽  
E. T. Bullmore ◽  
P. J. McKenna ◽  
...  
Keyword(s):  
Emotional Expression ◽  
Memory Impairment ◽  
Facial Emotion ◽  
Emotional Expressions ◽  
Healthy Controls ◽  
Emotional Intensity ◽  
Intellectual Impairment ◽  
Facial Emotions ◽  
Familiar Face ◽  
Benton Facial Recognition Test

BackgroundIdentification of facial emotions has been found to be impaired in schizophrenia but there are uncertainties about the neuropsychological specificity of the finding.MethodTwenty-two patients with schizophrenia and 20 healthy controls were given tests requiring identification of facial emotion, judgement of the intensity of emotional expressions without identification, familiar face recognition and the Benton Facial Recognition Test (BFRT). The schizophrenia patients were selected to be relatively intellectually preserved.ResultsThe patients with schizophrenia showed no deficit in identifying facial emotion, although they were slower than the controls. They were, however, impaired on judging the intensity of emotional expression without identification. They showed impairment in recognizing familiar faces but not on the BFRT.ConclusionsWhen steps are taken to reduce the effects of general intellectual impairment, there is no deficit in identifying facial emotions in schizophrenia. There may, however, be a deficit in judging emotional intensity. The impairment found in naming familiar faces is consistent with other evidence of semantic memory impairment in the disorder.

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