Acetylcholine innervation of the adult rat thalamus: Distribution and ultrastructural features in dorsolateral geniculate, parafascicular, and reticular thalamic nuclei
Bibliographic record
Abstract
The acetylcholine (ACh) innervation of thalamus arises mainly from the brainstem pedunculopontine and laterodorsal tegmental nuclei. By using immunocytochemistry with a monoclonal antibody against whole rat choline acetyltransferase (ChAT), we quantified the distribution and characterized the ultrastructural features of these nerve terminals (axon varicosities) in the dorsolateral geniculate (DLG), parafascicular (PF), and reticular thalamic (Rt) nuclei of adult rat. The regional density of ACh innervation was the highest in PF (2.1 x 10(6) varicosities/mm(3)), followed by Rt (1.7 x 10(6)) and DLG (1.3 x 10(6)). In single thin sections, ChAT-immunostained varicosity profiles appeared comparable in shape and content in the three nuclei, but significantly larger in PF than in DLG and Rt. The number of these profiles displaying a synaptic junction was also much higher in PF than in DLG and Rt, indicating that all ChAT-immunostained varicosities in PF were synaptic, but only 39% in DLG and 33% in Rt. The hypothesis that glutamate corelease might account for the maintenance of the entirely synaptic ACh innervation in PF was refuted by the lack of colocalization of ChAT and vesicular glutamate transporter 2 (VGLUT2) in PF axon varicosities after dual immunolabeling. These data suggest that diffuse as well as synaptic transmission convey modulatory effects of the ACh input from brainstem to DLG and Rt during waking. In contrast, the entirely synaptic ACh input to PF should allow for a direct relaying of the information from brainstem, affecting basal ganglia function as well as perceptual awareness, including attention and pain perception.
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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 | 0.000 | 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 | 0.000 |
| 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".