Learning Deficits after Experimental Subarachnoid Hemorrhage (SAH)
Bibliographic record
Abstract
Survivors of subarachnoid hemorrhage (SAH) often have learning and memory deficits. This study tested the hypothesis that SAH in rats is associated with similar deficits and that they are due to neuronal injury in the hippocampus. SAH was induced in rats. Behaviour was investigated in the Morris water maze and brain injury by microscopy. Rats with SAH had deficits in spatial learning and working memory and had significantly more fluoro-Jade- and TUNEL-positive neurons in the hippocampus, cerebral cortex and cerebellum. Microthromboemboli in microvessels were more frequent in brains of rats\nwith SAH and deficits there was vasospasm of the anterior and middle cerebral arteries. The amount of cell death in the hippocampus did not appear to be sufficient to cause the observed in the Morris water maze. This suggests that other factors such as dysfunction of neurotransmission or other pathology in hippocampal pathways might contribute to the impairment.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".