Prefrontal neuronal morphology in kindling‐prone (FAST) and kindling‐resistant (SLOW) rats
Bibliographic record
Abstract
The epileptogenic-prone (FAST) and epileptogenic-resistant (SLOW) rat strains have become a valuable tool for investigating neural plasticity. The strains were generated by breeding the rats that required the fewest amygdala stimulations to elicit a stage-5 convulsive seizure (FAST) and rats requiring the most stimulations (SLOW). Previous studies have shown differences in behavior and amygdala physiology in the two strains. This study examined the dendritic morphology of pyramidal neurons in the brains of adult male and female rats of the two strains. The brains were stained with the Golgi-Cox method and the length and branching from layer III pyramidal cells were measured in parietal cortex (Zilles Par1), medial frontal cortex (Zilles Cg3), and orbitofrontal cortex (Zilles AID) in these two strains of rats. We observed significantly longer dendrites in Cg3 in the FAST group but longer dendrites in the SLOW group in AID and Par1. There was also a sex difference (M > F) in Par1 in both strains. These morphological differences can provide insights into the neurobiological basis of the behavioral differences and suggest that localized changes in the amygdala do not occur independently of changes in other brain regions, and especially prefrontal cortex.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".