Fine structural features of the acetylcholine innervation in the developing neostriatum of rat
Bibliographic record
Abstract
The acetylcholine (ACh) innervation in the developing neostriatum of rat was examined by means of light and electron microscopic immunocytochemistry with a highly sensitive antibody against choline acetyltransferase (ChAT). ChAT-immunoreactive cell bodies and their emerging processes, located at birth in the lateral part of neostriatum, progressively pervaded the whole region, to give rise to an extremely dense axonal network. As visualized and measured in single thin sections, at postnatal (P) ages P8, P16, and P32, the intrinsic and relational features of ChAT-immunostained profiles of axon varicosities in the lateral and medial parts of neostriatum were similar to those previously described in the adult. At the three postnatal ages, the immunoreactive profiles were comparable in shape, size, and vesicular content, and displayed one or more mitochondria with increasing frequency (from 10% at P8 to 29% at P32). The proportion which showed a synaptic junction was low at the three ages (8-16%), indicating an average synaptic incidence of 22% for whole varicosities after stereological extrapolation. The observed junctions were relatively small, mostly symmetrical, and made with dendritic spines or branches. The frequency of synapses on spines versus branches increased with age, from 20% at P8 to almost 60% at P32. Thus, the relational features of the neostriatal ACh innervation were similar to adult as soon as it appeared, as previously observed to be the case in the developing cerebral cortex. The diffuse mode of transmission may therefore be characteristic of both ACh interneurons (neostriatum) and projection neurons (cerebral cortex) in the CNS, and could be determining their functional properties during development as well as at maturity.
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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 | 0.000 |
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".