Activation of muscarinic cholinergic receptors inhibits giant neurones in the caudal pontine reticular nucleus
Bibliographic record
Abstract
Giant neurones in the caudal pontine reticular nucleus (PnC) play a crucial role in mediating the mammalian startle response. They receive input from cochlear, trigeminal and vestibular nuclei and project directly to motoneurones. Furthermore, they integrate modulatory input from different brain regions either enhancing or inhibiting startle responses. One prominent startle modulation is prepulse inhibition where a non-startling stimulus presented prior to the startle stimulus inhibits a subsequent startle response. Several behavioural studies have indicated that this inhibition is mediated by muscarinic receptors at the level of the PnC. Here, we performed whole-cell patch-clamp recordings from PnC giant neurones in acute rat brain slices in order to examine muscarinic inhibition. We stimulated afferent trigeminal and auditory fibres and applied muscarinic agonists and antagonists in order to investigate their effect on excitatory postsynaptic current amplitudes, paired-pulse ratio and passive membrane properties of PnC giant neurones. The cholinergic agonist carbachol and the muscarinic agonist oxotremorine significantly reduced excitatory postsynaptic current amplitudes and increased the paired-pulse ratio. Carbachol additionally reduced the membrane resistance of postsynaptic PnC giant neurones. The subtype-specific antagonists AF-DX116 (M2 preferring) and tropicamide (M4 preferring) antagonized the oxotremorine effect indicating that M4 and possibly M2 receptor subtypes are involved in this inhibition. The G-protein-activated inward rectifying potassium channel blocker tertiapin-Q had no effect on oxotremorine-induced inhibition of giant neurones. Our results show a mainly presynaptically mediated strong inhibition of PnC giant neurones by activation of M4 and possibly M2 receptors that presumably contribute to prepulse inhibition.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".