Organization of pERK‐immunoreactive cells in trigeminal spinal nucleus caudalis and upper cervical cord following capsaicin injection into oral and craniofacial regions in rats
Bibliographic record
Abstract
To define the somatotopic arrangement of neurons in the trigeminal spinal subnucleus caudalis and upper cervical cord activated by acute noxious stimulation of various orofacial sites, pERK expression was analyzed in these neurons. After capsaicin injection into the tongue, lower gum, upper and lower lips, or mental region, pERK-like immunoreactive (pERK-LI) cells were distributed mainly in the dorsal half of the trigeminal spinal nucleus interporalis (Vi) and caudalis (Vc) transition zone (Vi/Vc zone), middle Vc, and Vc and upper cervical cord transition zone (Vc/C2 zone). pERK-LI cells were distributed throughout the dorsal to ventral portion of the Vi/Vc zone, middle Vc, and Vc/C2 zone following capsaicin injection into the anterior hard palate, upper gum, buccal mucosa, or vibrissal pad and in the ventral portion of the Vi/Vc zone, middle Vc, and Vc/C2 zone following snout, ophthalmic, or ocular injection of capsaicin. The rostrocaudal distribution area of pERK-LI cells was more extensive from the Vi/Vc zone to the Vc/C2 zone after intraoral injection than that after facial injection, and the rostrocaudal distribution of pERK-LI cells from the Vi/Vc zone to the Vc/C2 zone had a somatotopic arrangement, with the snout being represented most rostrally and ophthalmic, ocular, or mental regions represented most caudally. These findings suggest that the pERK-LI cells expressed from the Vi/Vc zone to the Vc/C2 zone following injection of capsaicin in facial and intraoral structures may be differentially involved in pain perception in facial and intraoral sites.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".