The Effects of Narrative and Movie Therapy on the Theory of Mind and Social Functioning of Patients with Schizophrenia
Bibliographic record
Abstract
INTRODUCTION: The objective of this study was to investigate the effects of narrative therapy (NT) in which the patients tell their own life story in a group environment, and the movie therapy (MT), which is an interaction-based, emotion-themed, culturally compatible video screening activity, on chronic schizophrenia patients' theory of mind abilities, psychopathology, and social functioning. METHOD: Thirty patients with schizophrenia were included in this study. At the beginning of the study, 2 patients dropped out as they started to work in a job. Participants were randomly assigned into two groups: one group received NT, and the other had MT. Dokuz Eylül Theory of Mind Index (DEToMI), Reading the Mind in the Eyes Test (RMET), Social Functioning Assessment Scale (SFAS), the Positive and Negative Symptoms Scale (PANSS), and Montreal Cognitive Assessment Scale (MoCA) were applied to the patients before and after the study. Pre- and post-test results within the group were compared via Wilcoxon test. Mann-Whitney U and mixed-design ANOVA were used for group comparisons regarding treatment efficiency. RESULTS: In the NT group, PANSS negative and general psychopathology, DEToMI, SFAS, and MoCA scores significantly increased. In the MT group, PANSS negative, DEToMI, SFAS, MoCA, and RMET scores significantly enhanced. Regarding the comparisons for before and after the treatment, it was found that mean RMET scores and DEToMI faux pas sub-scale scores were higher in the MT group comparing to the NT group. CONCLUSION: This study suggests that NT and MT could be beneficial on different domains of the theory of mind, and may lead to a decrease in psychopathology, and increase in neurocognition and social functioning. MT might be a more effective treatment in the field of perceptual theory of mind.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".