Neurobiology of the early course of schizophrenia
Bibliographic record
Abstract
The past three decades have seen a great upsurge in studies focusing on the neurobiology of schizophrenia. Early studies, dating back to the start of the previous century, largely relied either on post-mortem examination of the brains of older patients with chronic schizophrenia or on brain scans in patients with established schizophrenia. It was therefore difficult to appraise the effects of the illness separately from those of aging, illness chronicity and medications. Avoiding such difficulties, studies of individuals in the early phases of schizophrenia have greatly enhanced our understanding of the course and predictive value of the neurobiological changes as well as approaches to optimal early interventions. In this paper, we review what we see as key directions in neurobiology research in early schizophrenia. We first provide an overview of alterations in cognition, structural and functional neuroanatomy, and neurochemistry in the early phases of schizophrenia. We conclude by summarizing the current state of understanding of the role of genetic and environmental factors and their interactions in the etiology of schizophrenia.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".