scholarly journals Relationships between social withdrawal and facial emotion recognition in neuropsychiatric disorders

2021 ◽  
Author(s):  
Alejandro Torre-Luque ◽  
Alba Viera-Campos ◽  
Amy C. Bilderbeck ◽  
Maria Teresa Carreras ◽  
Jose Vivancos ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Social Functioning ◽  
Positive Emotion ◽  
Social Withdrawal ◽  
Negative Emotion ◽  
Facial Emotion Recognition ◽  
Self Report ◽  
Facial Emotion ◽  
Emotion Detection

Abstract This study aimed to investigate the role of social withdrawal in emotion recognition of patients with schizophrenia (SZ) or probable Alzheimer’s disease (AD). A sample of 156 participants was recruited: SZ patients (n = 53), AD patients (n = 46), and two age-matched control groups (SZc, n = 29; ADc, n = 28). All participants provided self-report measures of loneliness and social functioning, and completed a facial emotion detection task. As a result, neuropsychiatric patients (both groups) showed poorer performance in detecting both positive and negative emotions compared with their healthy counterparts (p < .01). Social withdrawal was associated with higher accuracy in negative emotion detection, across all groups. Additionally, neuropsychiatric patients with higher social withdrawal showed lower positive emotion misclassification. Our findings help detail the similarities and differences in social function and facial emotion recognition in two disorders rarely studied in parallel, AD and SZ. Transdiagnostic patterns in these results suggest that social withdrawal is associated with heightened sensitivity to negative emotion expressions, potentially reflecting hypervigilance to social threat. Across the neuropsychiatric groups specifically, this hypervigilance associated with social withdrawal extended to positive emotion expressions, an emotional-cognitive bias that may impact social functioning in people with severe mental illness.

Impaired recognition of happy facial expressions in bipolar disorder

2014 ◽  
Vol 26 (4) ◽  
pp. 253-259 ◽  
Author(s):  
Linette Lawlor-Savage ◽  
Scott R. Sponheim ◽  
Vina M. Goghari
Keyword(s):  
Bipolar Disorder ◽  
Emotion Recognition ◽  
Facial Expressions ◽  
Processing Speed ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Recognition Ability ◽  
Recognition Condition ◽  
Bipolar Patients

BackgroundThe ability to accurately judge facial expressions is important in social interactions. Individuals with bipolar disorder have been found to be impaired in emotion recognition; however, the specifics of the impairment are unclear. This study investigated whether facial emotion recognition difficulties in bipolar disorder reflect general cognitive, or emotion-specific, impairments. Impairment in the recognition of particular emotions and the role of processing speed in facial emotion recognition were also investigated.MethodsClinically stable bipolar patients (n = 17) and healthy controls (n = 50) judged five facial expressions in two presentation types, time-limited and self-paced. An age recognition condition was used as an experimental control.ResultsBipolar patients’ overall facial recognition ability was unimpaired. However, patients’ specific ability to judge happy expressions under time constraints was impaired.ConclusionsFindings suggest a deficit in happy emotion recognition impacted by processing speed. Given the limited sample size, further investigation with a larger patient sample is warranted.

A role of interactions between N-methyl-D-aspartate and dopamine receptors in facial emotion recognition impairment in schizophrenia

2017 ◽  
Vol 117 (6) ◽  
pp. 47 ◽  
Author(s):  
M. V. Alfimova ◽  
V. E. Golimbet ◽  
G. I. Korovaitseva ◽  
T. V. Lezheiko ◽  
D. V. Tikhonov ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Dopamine Receptors ◽  
Facial Emotion Recognition ◽  
Facial Emotion

scholarly journals Do You See What I See -- Exploring the Role of Personality in Emotion Recognition using a Priming Paradigm

2020 ◽  
Author(s):  
Parama Gupta ◽  
Deepshikha Ray ◽  
Sukanto Sarkar
Keyword(s):  
Young Adult ◽  
Emotion Recognition ◽  
Recognition Task ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Mediating Role ◽  
Priming Paradigm ◽  
Healthy Participants

The current study explored the mediating role of Neuroticism and Psychoticism involving young adult healthy participants who performed a facial emotion recognition task.

scholarly journals Effects of Subthalamic Nucleus Deep Brain Stimulation on Facial Emotion Recognition in Parkinson’s Disease: A Critical Literature Review

2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
S. Kalampokini ◽  
E. Lyros ◽  
P. Lochner ◽  
K. Fassbender ◽  
M. M. Unger
Keyword(s):  
Parkinson’S Disease ◽  
Deep Brain Stimulation ◽  
Emotion Recognition ◽  
Subthalamic Nucleus ◽  
Brain Stimulation ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
Stn Dbs ◽  
Deep Brain

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective therapy for Parkinson’s disease (PD). Nevertheless, DBS has been associated with certain nonmotor, neuropsychiatric effects such as worsening of emotion recognition from facial expressions. In order to investigate facial emotion recognition (FER) after STN DBS, we conducted a literature search of the electronic databases MEDLINE and Web of science. In this review, we analyze studies assessing FER after STN DBS in PD patients and summarize the current knowledge of the effects of STN DBS on FER. The majority of studies, which had clinical and methodological heterogeneity, showed that FER is worsening after STN DBS in PD patients, particularly for negative emotions (sadness, fear, anger, and tendency for disgust). FER worsening after STN DBS can be attributed to the functional role of the STN in limbic circuits and the interference of STN stimulation with neural networks involved in FER, including the connections of the STN with the limbic part of the basal ganglia and pre- and frontal areas. These outcomes improve our understanding of the role of the STN in the integration of motor, cognitive, and emotional aspects of behaviour in the growing field of affective neuroscience. Further studies using standardized neuropsychological measures of FER assessment and including larger cohorts are needed, in order to draw definite conclusions about the effect of STN DBS on emotional recognition and its impact on patients’ quality of life.

Hypomimia May Influence the Facial Emotion Recognition Ability in Patients with Parkinson’s Disease

2021 ◽  
pp. 1-13
Author(s):  
Yu-Han Chuang ◽  
Chun-Hsiang Tan ◽  
Hui-Chen Su ◽  
Chung-Yao Chien ◽  
Pi-Shan Sung ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Emotion Recognition ◽  
Social Functioning ◽  
Rating Scale ◽  
Social Function ◽  
Facial Emotion Recognition ◽  
Facial Emotion ◽  
The Social ◽  
The Relationship

Background: Hypomimia is a clinical feature of Parkinson’s disease (PD). Based on the embodied simulation theory, the impairment of facial mimicry may worsen facial emotion recognition; however, the empirical results are inconclusive. Objective: We aimed to explore the worsening of emotion recognition by hypomimia. We further explored the relationship between the hypomimia, emotion recognition, and social functioning. Methods: A total of 114 participants were recruited. The patients with PD and normal controls (NCs) were matched for demographic characteristics. All the participants completed the Mini-Mental State Examination and the Chinese Multi-modalities Emotion Recognition Test. In addition to the above tests, the patients were assessed with the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale and Parkinson’s Disease Social Functioning Scale (PDSFS). Results: Patients with PD with hypomimia had worse recognition of disgust than NCs (p = 0.018). The severity of hypomimia was predictive of the recognition of disgust (β= –0.275, p = 0.028). Facial emotion recognition was predictive of the PDSFS score of PD patients (β= 0.433, p = 0.001). We also found that recognizing disgust could mediate the relationship between hypomimia and the PDSFS score (β= 0.264, p = 0.045). Conclusion: Patients with hypomimia had the worst disgust facial recognition. Hypomimia may affect the social function of PD patients, which is related to recognizing the expression of disgust. Emotion recognition training may improve the social function of patients with PD.

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.

scholarly journals Measuring emotions during learning: lack of coherence between automated facial emotion recognition and emotional experience

2019 ◽  
Vol 9 (1) ◽  
pp. 308-317 ◽  
Author(s):  
Franziska Hirt ◽  
Egon Werlen ◽  
Ivan Moser ◽  
Per Bergamin
Keyword(s):  
Emotion Recognition ◽  
Affective Computing ◽  
Subjective Experience ◽  
Emotional Experience ◽  
Facial Emotion Recognition ◽  
Self Report ◽  
Facial Emotion ◽  
Self Reports ◽  
Different Types ◽  
Promising Source

AbstractMeasuring emotions non-intrusively via affective computing provides a promising source of information for adaptive learning and intelligent tutoring systems. Using non-intrusive, simultaneous measures of emotions, such systems could steadily adapt to students emotional states. One drawback, however, is the lack of evidence on how such modern measures of emotions relate to traditional self-reports. The aim of this study was to compare a prominent area of affective computing, facial emotion recognition, to students’ self-reports of interest, boredom, and valence. We analyzed different types of aggregation of the simultaneous facial emotion recognition estimates and compared them to self-reports after reading a text. Analyses of 103 students revealed no relationship between the aggregated facial emotion recognition estimates of the software FaceReader and self-reports. Irrespective of different types of aggregation of the facial emotion recognition estimates, neither the epistemic emotions (i.e., boredom and interest), nor the estimates of valence predicted the respective self-report measure. We conclude that assumptions on the subjective experience of emotions cannot necessarily be transferred to other emotional components, such as estimated by affective computing. We advise to wait for more comprehensive evidence on the predictive validity of facial emotion recognition for learning before relying on it in educational practice.

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