Visual perception of facial expressions of emotions and alexithymia among people suffering from schizophrenia
Bibliographic record
Abstract
Aim of the study The aim of the study is to find out whether there is a relationship between the severity of alexithymia and the visual perception of facial expressions of emotions among people suffering from schizophrenia. Subject or material and methods 41 people suffering from schizophrenia and 41 healthy people participated in the study. In the first stage, the subjects completed the Toronto Alexithymia Scale (TAS-20) questionnaire. The second stage was based on eye-tracking measurements made during a computer experiment of recognising facial expressions. Results People with schizophrenia showed significantly higher intensity of alexithymia than healthy people. In the group of patients with schizophrenia, a negative correlation between alexithymia and the length of saccades on the nose was found. Discussion In the group of people with schizophrenia, alexithymia is associated with less intensive exploration of the nasal area. A wrinkled nose is an important area, first of all, in the manifestation of negative emotions, in recognition of which the sick people make the most mistakes. Conclusions Problems with recognising emotions in people suffering from schizophrenia are associated with neuronal dysfunction and abnormalities in the eye movement. These factors disrupt the early stages of sensory processing. The relationship of alexithymia with the visual perception of patients with schizophrenia suggests that top-down processes may also contribute to the development of these deficits.
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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".