Increased conditioned immobility and weight loss in rats following mechanical impacts to the skull that do not produce loss of consciousness
Bibliographic record
Abstract
Abstract Rats either received a single vertical impact (15 km/h) of mechanical energy to their right dorsal skulls over the parietal region or served as handled controls. About 50% of the rats appeared normal after the impact. Thirty days later there were conspicuous areas containing neurons with shrunken and darkly stained somas within the cortices beneath the impact site and within the amygdala and entorhinal cortices. These neurons, occupying an average total area that ranged from 0.50 mm2 to 5 mm2, were evident even in rats that showed no stunning following the impact. These neurons were not seen in control rats. Subsequent decreases in body weight for rats that received the impact (even with no obvious stunning) were attenuated by oral access to 10% glucose but not by treatment with acetaminophen or ketamine. The rats that sustained the impact also displayed increased immobility within settings with which an aversive stimulus had been associated. Post-impact injection with ketamine did not normalize this behaviour. These results show that quantitative changes in some neuronal soma remain weeks after a single impact of mechanical energy that is not associated with immediate changes in behaviour. Concomitant with these neuronal alterations was increased emotional responsiveness to contexts associated with a single aversive episode and transient decreases in body weights.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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".