Comparative analysis of cholinergic innervation in the dorsal hippocampus of adult mouse and rat: A quantitative immunocytochemical study
Bibliographic record
Abstract
To obtain quantitative data on the distribution of the acetylcholine (ACh) innervation in the dorsal hippocampus of adult mouse (C57/B6) and rat (Sprague-Dawley), a semicomputerized method was used to measure the length of immunostained axons in hippocampal sections processed for light microscopic immunocytochemistry with a highly sensitive antibody against choline acetyltransferase (ChAT). The results could be expressed in density of axons (meters per mm3) for the different layers and regions of dorsal hippocampus (CA1, CA3, DG), and also in density of axon varicosities (millions per mm3), after having determined the average number of varicosities per unit length of ChAT-immunostained axon (4 varicosities/10 microm). In mouse, the mean regional densities of ACh innervation were thus measured at 13.9, 16.1, and 15.8 m of axons, for 5.6, 6.4, and 6.3 million varicosities per mm3 of tissue, in CA1, CA3, and DG, respectively. The values were comparable in rat, except for CA1, in which the densities were lower than in mouse by 40% in the stratum lacunosum, and 20% in the stratum radiatum. Otherwise, the laminar patterns of innervation were similar in the two species, the highest densities being found in the stratum lacunosum moleculare of CA3, pyramidale of both CA1 and CA3, and moleculare of DG. These quantitative data will be of particular interest to evaluate changes in mutant mice, or mice and rats subjected to experimental conditions affecting the cholinergic phenotype.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".