Tool For Recognition Of Emotions Research Articles

Effect of yoga therapy on facial emotion recognition deficits, symptoms and functioning in patients with schizophrenia

Facial emotion recognition deficits have been consistently demonstrated in schizophrenia and can impair socio-occupational functioning in these patients. Treatments to improve these deficits in antipsychotic-stabilized patients have not been well studied. Yoga therapy has been described to improve functioning in various domains in schizophrenia; however, its effect on FERD is not known. Antipsychotic-stabilized patients randomized to receive Yoga (n=27), Exercise (n=17) or Waitlist group (n=22) were assessed at baseline, 2nd month, and 4th month of follow-up by raters blind to group status. Assessments included Positive and Negative Syndrome Scale (PANSS), Socio-Occupational Functioning Scale (SOFS), and Tool for Recognition of Emotions in Neuropsychiatric DisorderS (TRENDS). There was a significant positive correlation between baseline FERD and socio-occupational functioning (r=0.3, P=0.01). Paired samples t test showed significant improvement in positive and negative symptoms, socio-occupational functioning and performance on TRENDS (P<0.05) in the Yoga group, but not in the other two groups. Maximum improvement occurred at the end of 2 months, and improvement in positive and negative symptoms persisted at the end of 4 months. Yoga therapy can be a useful add-on treatment to improve psychopathology, FERD, and socio-occupational functioning in antipsychotic-stabilized patients with schizophrenia.

Multi-Agent-Based Human Computer Interaction of E-Health Care System for People with Movement Disabilities

This paper presents further development of intelligent e-health care system for people with movement disabilities. The research results present the development of multi-agent-based human computer interaction model and its integration into the system of fuzzy neural control of speed of two wheelchair type robots to providing movement support for disabled individuals. An approach of filtering of skin conductance (SC) and electrocardiogram (ECG) signals using Nadaraya-Watson kernel regression smoothing in R tool for emotion recognition of disabled individuals is described and implemented in the system. The unsupervised clustering by self organizing maps (SOM) of data sample of physiological parameters extracted from SC and ECG signals noninvasively measured from disabled was proposed. It was implemented to reduce teacher noise as well as to increase of speed and accuracy of learning process of multi-layer preceptron (MLP), which was applied in the multi-agent-based human computer interaction model for online prediction of e-health care state of disabled individuals. Keywords- multiple agent e-health care, bio-robots, human computer interaction, skin conductance, electrocardiogram, fuzzy logic, neural networks.

Effect of risperidone on emotion recognition deficits in antipsychotic-naïve schizophrenia: A short-term follow-up study

Background Facial emotion recognition deficits [FERD] have been consistently demonstrated in treated schizophrenia patients. FERD in treatment-naïve patients and the effect of antipsychotics are yet to be explored. Aims To examine for FERD in antipsychotic-naïve schizophrenia patients and the effect of short-term atypical antipsychotic treatment on FERD. Methods Twenty-five antipsychotic-naïve schizophrenia [DSM-IV] patients and 30 age-, sex-, and education-matched healthy control subjects were assessed for FERD using the Tool for Recognition of Emotions in Neuropsychiatric DisorderS [TRENDS] — a culturally sensitive and valid tool. Psychopathology was assessed using SAPS and SANS. Performance of patients on TRENDS and psychopathology was re-assessed after short-term exposure to risperidone. Results At baseline, the patients made significantly greater errors in recognition of negative emotions of fear and disgust which improved on follow-up. This improvement was influenced by severity of baseline negative symptoms. Conclusion Risperidone treatment can improve disgust recognition deficits in patients with schizophrenia.

Emotion Recognition Deficits in Antipsychotic-naive Schizophrenia

Background: Emotion recognition deficits in schizophrenia form an important component of deficits seen in the disorder. Emotion recognition abilities correlate well with symptom dimensions and sociooccupational outcome of the disorder. The influence of pharmacological treatment on brain functions makes it important to design studies examining emotion recognition in drug-naive patients. However, emotion recognition deficits in antipsychotic-naive schizophrenia patients have not been previously examined. Methods: In this study, TRENDS - A Tool for Recognition of Emotions of Neuropsychiatric Disorders - a tool validated in Indian population, was used to assess emotion recognition abilities of antipsychotic-naive schizophrenia patients ( n = 20) and group-matched healthy controls ( n = 20). Results: The study showed significant deficits in emotion recognition in patients, especially with regard to fear ( P = 0.001), followed by disgust ( P = 0.006), and anger ( P = 0.017). The under-recognition of these emotions was positively correlated with high negative symptom scores ( r = 0.470; P = 0.018) and negatively correlated with high positive symptom scores ( r = -0.447; P = 0.048). Conclusions: Presence of significant emotion recognition abnormalities in antipsychotic-naive schizophrenia suggests that these abnormalities might be intrinsically related to the pathogenesis of this disorder.

Trends- A tool for recognition of emotions in neuropsychiatric disorders

Defects in social cognition which includes Facial Emotion Recognition Deficits [FERD] have been consistently demonstrated in most neuropsychiatric disorders. Influences of culture, age & sex on emotional expression and perception necessitates that a tool standardized in the Indian population be developed to study these deficits in Indian patients. Four experienced and trained actors (one young male, one young female, one older male and one older female) emoted six basic emotions, namely happy, sad, fear, anger, surprise and disgust at two different intensities [i.e. high and low] along with neutral facial expressions. 52 still images and 28 video clips were obtained. These images were then validated by 51 students from various mental health disciplines and five qualified psychiatrists. On statistical analysis the tool was found to have good inter­rater agreement and internal consistency. TRENDS is a tool validated for use in the Indian population, which captures the full range and nature of emotional expressions akin to real life situations and can be utilized for future behavioral and functional imaging studies in Indian patients. Such research can give useful insights into the neurobiological basis of neuropsychiatric disorders and has important implications for improving socio-occupational functioning.

Emotion recognition deficits in antipsychotic-naive schizophrenia

Background: Emotion recognition deficits in schizophrenia form an important component of deficits seen in the disorder. Emotion recognition abilities correlate well with symptom dimensions and sociooccupational outcome of the disorder. The influence of pharmacological treatment on brain functions makes it important to design studies examining emotion recognition in drug-naive patients. However, emotion recognition deficits in antipsychotic-naive schizophrenia patients have not been previously examined. Methods: In this study, TRENDS - A Tool for Recognition of Emotions of Neuropsychiatric Disorders - a tool validated in Indian population, was used to assess emotion recognition abilities of antipsychotic-naive schizophrenia patients ( n = 20) and group-matched healthy controls ( n = 20). Results: The study showed significant deficits in emotion recognition in patients, especially with regard to fear ( P = 0.001), followed by disgust ( P = 0.006), and anger ( P = 0.017). The under-recognition of these emotions was positively correlated with high negative symptom scores ( r = 0.470; P = 0.018) and negatively correlated with high positive symptom scores ( r = -0.447; P = 0.048). Conclusions: Presence of significant emotion recognition abnormalities in antipsychotic-naive schizophrenia suggests that these abnormalities might be intrinsically related to the pathogenesis of this disorder.