Procedural learning in first episode schizophrenia investigated with functional magnetic resonance imaging.
Bibliographic record
Abstract
OBJECTIVE: The present investigation assessed the severity, course, and cerebral implications of serial reaction time (SRT) procedural learning deficits in schizophrenia. METHOD: Hemodynamic changes on fMRI were assessed during an SRT task in 17 unmedicated first episode psychosis (FEP) patients and matched healthy controls. RESULTS: The groups demonstrated comparable procedural learning and associated activation of anterior cingulate cortex, subcortical structures, and many left frontal structures. The groups also demonstrated comparable increased activation of right parietal structures on trials with demands for spatial localization without procedural memory. Relative to healthy controls, the schizophrenia sample showed less activation of one region of the left middle frontal cortex and more activation of left superior temporal cortex on procedural trials, but more activation of right medial frontal cortex on localization trials. CONCLUSIONS: Intact SRT procedural learning and normal or enhanced hemodynamic response in subcortical and right cortical structures diverges from prior results with medicated samples, suggesting a more focal cerebral dysfunction in the left middle frontal cortex before the onset of treatment.
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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 | 0.000 |
| 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) | 0.001 | 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".