Emotion processes in schizophrenia: in relation with symptomatology and duration of illness
Bibliographic record
Abstract
The purpose of the present study was to examine the effects of positive and negative symptoms, and duration of illness on emotion processes; ability to understand emotion related cues, experience of emotion, and expression of emotion. A total of 46 schizophrenia patients from Ankara Oncology Hospital Psychiatry Clinic; 23 of them were diagnosed with schizophrenia for at least 10 years, and 23 of them were diagnosed for less than 10 years, participated in the study. Besides, a total of 23 non-clinical subjects; which were similar to the clinical group in terms of educational information, participated to the study. A video-clip which consists of scenes that elicited four types of emotions (fear, disgust, sadness, happiness) was presented to the participants. Understanding of emotion related cues and the experienced emotion were rated through self-report. Facial expressions of the participants were rated through their recorded faces by three psychologists, who were specifically trained for emotional facial expression rating. Symptomatology was assessed by Positive and Negative Symptom Scale (PANSS), and Calgary Depression Scale for schizophrenia patients. Presence of any psychopathology of healthy group was measured through Brief Symptom Inventory. Multivariate Analysis of Variance (MANOVA) revealed that chronic patients presented more understanding of context impairments than acute patients and non-clinical group. In addition to these findings, positive symptoms assessed by PANSS were found to be positively correlated with the understanding context impairment. Therefore, It was suggested that positive symptoms, such as hallucinations and delusions interfere with understanding context task. The results were discussed in the light of the literature and clinical and research implications of the study presented. Finally, necessity of using neurological, biological and cognitive assessment methods for further studies was suggested in order to understand deficits in emotional processes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".