Etiopathogenetic Mechanisms in Long-Term Course of Schizophrenia
Bibliographic record
Abstract
Schizophrenia is a severe mental disorder with a relapsing long-term course in 80 % of the sufferers. The underlying neurobiological principles of the long-term course are widely unknown. Therefore an attempt is made to evaluate data from structural imaging and neuropsychology to shed some light on these mechanisms. Interestingly there was a significant correlation between length of illness and volume reduction in the prefrontal grey matter in schizophrenia. There was a lack of such a correlation for the whole brain volume, white matter volume or the grey matter volume outside the prefrontal lobe. Furthermore none of the neuropsychological measures correlated with length of illness. Both findings are supported by data from prospective studies up to five years demonstrating a significant loss of frontal grey matter volume, but no change of cognitive dysfunction in the course of time. The attempt is made to connect prefrontal grey matter loss with post-mortem findings of reduced neuropil but preserved cytoarchitecture leading to recently described candidate genes and their function.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".