Computed tomography of the brain morphology of patients with first-episode schizophrenic psychosis
Bibliographic record
Abstract
OBJECTIVE: To report computed tomographic (CT) scan ratings of various aspects of brain morphology of a large representative sample of patients with a first episode of schizophrenic psychosis and to compare these ratings with those from a previously reported sample of patients with chronic schizophrenia. METHODS: A brain CT scan was performed on 114 patients with a diagnosis of first episode of schizophrenia or schizophreniform psychosis. Ratings on sulcal and ventricular enlargement and sylvian fissure were obtained using the Computed Tomographic Rating Scale for Schizophrenia. The influence of age, sex, age of onset, duration of illness and clinical psychopathology on CT ratings was assessed using bivariate correlations and multiple regression analyses. The CT ratings were also compared with those from a sample of patients with chronic schizophrenia. RESULTS: First-episode patients showed a modest enlargement of sulci and ventricles and a reversed asymmetry of the sylvian fissure. Age was the only independent predictor of these regional changes. Clinical symptoms, sex or duration of untreated psychosis showed no relation to CT ratings. A comparison of first-episode patients with chronically ill patients, with the effect of age covaried, revealed the sylvian fissure was significantly larger (right and left sides) in the chronically ill patients. CONCLUSIONS: Patients with a first episode of schizophrenic psychosis showed evidence of morphological changes generally associated with chronic schizophrenia. Such changes are not likely related to sex, clinical symptoms or duration of untreated psychosis, but are influenced by age. Changes in the ventricles and sulcal size are unlikely to be progressive, suggesting a neurodevelopmental origin, whereas changes in the area of the sylvian fissure may be of a more degenerative nature.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".