Neural and cognitive correlates of anhedonia in non-clinical individuals and in people suffering from schizophrenia
Bibliographic record
Abstract
The negative symptoms of schizophrenia, characterized as a loss or reduction of normal functions, have drawn a lot of attention in recent years in the research community. Negative symptoms are a multidimensional domain and constitute an unmet therapeutic need. The present research project focused on the negative symptom of anhedonia, defined as the reduced capacity to gain pleasure. It has been suggested that anhedonia characterizes a subgroup of patients with schizophrenia and represents a vulnerability marker for the development of schizophrenia when measured in non-clinical individuals. Moreover, there is evidence that self-report anhedonia severity in schizophrenia is influenced by neurocognitive deficits. For instance, schizophrenia is characterized by significant memory problems and evidence suggests a potential link with negative symptoms. The major goals of this project were: 1) to explore the relationship between emotional memory and self-report anhedonia severity; and 2) to identify brain alterations associated with inter-individual variability in anhedonia severity in people with schizophrenia and in non-clinical individuals. In a first behavioral study, we used an emotional recognition task to test whether anhedonia was linked to memory performance for emotional face expressions. Results suggest that self-report anhedonia severity in schizophrenia is not directly influenced by emotional memory deficits. The neuroimaging studies first involved the design of a magnetic resonance imaging paradigm using complex emotional pictures. This paradigm allowed us to measure brain activity associated with the processing of hedonic information. We first found that elevat
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".