Cholinergic projections to the preBötzinger complex
Bibliographic record
Abstract
Rhythmic inspiratory activity is generated in the preBötzinger complex (preBötC), a neuronal network located bilaterally in the ventrolateral medulla. Cholinergic neurotransmission affects respiratory rhythmogenic neurons and inhibitory glycinergic neurons in the preBötC. Acetylcholine has been extensively investigated given that cholinergic fibers and receptors are present and functional in the preBötC, are important in sleep/wake cycling, and modulate inspiratory frequency through its action on preBötC neurons. Despite its role in modulating inspiratory rhythm, the source of acetylcholine input to the preBötC is not known. In the present study, we used retrograde and anterograde viral tracing approaches in transgenic mice expressing Cre-recombinase driven by the choline acetyltransferase promoter to identify the source of cholinergic inputs to the preBötC. Surprisingly, we observed very few, if any, cholinergic projections originating from the laterodorsal and pedunculopontine tegmental nuclei (LDT/PPT), two main cholinergic, state-dependent systems long hypothesized as the main source of cholinergic inputs to the preBötC. On the contrary, we identified glutamatergic and GABAergic/glycinergic neurons in the PPT/LDT that send projections to the preBötC. Although these neurons contribute minimally to the direct cholinergic modulation of preBötC neurons, they could be involved in state-dependent regulation of breathing. Our data also suggest that the source of cholinergic inputs to the preBötC appears to originate from cholinergic neurons in neighboring regions of the medulla, the intermediate reticular formation, the lateral paragigantocellularis, and the nucleus of the solitary tract.
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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 | 0.001 |
| 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".