Using animal models to test a neurodevelopmental hypothesis of schizophrenia
Bibliographic record
Abstract
A series of studies has shown that neonatal excitotoxic disconnection of the rat ventral hippocampus may serve as a heuristic model of schizophrenia. The model mimics a spectrum of neurobiologic and behavioural features of schizophrenia. It produces functional pathology in critical brain regions implicated in schizophrenia and connected with the hippocampal formation, namely, the striatum, nucleus accumbens and the prefrontal cortex. These brain regions are also targeted by antipsychotic drugs. Neonatal insult leads in young adulthood to the emergence of abnormalities in a number of dopamine-related behaviours. It also models some of the negative aspects of schizophrenia, such as social impairments and working memory deficits. Moreover, our data show that even transient inactivation of the ventral hippocampus during a critical period of development that produces subtle anatomical changes in the hippocampus may be sufficient to trigger behavioural changes similar to those observed in animals with the permanent excitotoxic lesion. The results of bromodeoxyuridine (BrdU) incorporation studies show that this transient disconnection in the CA1 and CA2 area of the hippocampus may have long-lasting consequences for neurogenesis in the dentate gyrus. Our data suggest that neonatal disconnection of the ventral hippocampus alters development and plasticity of prefrontal cortical circuitry and produces a constellation of behavioural and cellular changes that mimic many aspects of schizophrenia. The neonatal hippocampal disconnection model represents a potential new model of schizophrenia without a gross anatomical lesion.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".