Decreased Serotonin 2A Receptor Densities in Neuroleptic-Naive Patients With Schizophrenia: A PET Study Using [<sup>18</sup>F]Setoperone
Bibliographic record
Abstract
OBJECTIVE: The authors compared serotonin receptor binding in patients with schizophrenia and healthy comparison subjects. METHOD: They used positron emission tomography with [(18)F]setoperone to examine six patients with schizophrenia who had never been given neuroleptics and seven age-matched subjects who did not have schizophrenia. RESULTS: A nondirected voxel-based analysis of the subjects' entire search volume found that serotonin 2A binding potential in the frontal cortex index was significantly smaller (by 16.3%) in patients with schizophrenia than in healthy subjects. CONCLUSIONS: The authors conclude that the decrease in serotonin receptor densities previously reported in postmortem studies of subjects with schizophrenia are present at the onset of the illness, before exposure to neuroleptics.
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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 | 0.001 | 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".