Supraspinal facilitation of painful stimuli by glutamatergic innervation from the retrosplenial to the anterior cingulate cortex
Bibliographic record
Abstract
The anterior cingulate cortex (ACC) is recognized as a pivotal cortical region involved in the perception of pain. The retrosplenial cortex (RSC), located posterior to the ACC, is known to play a significant role in navigation and memory processes. Although the projections from the RSC to the ACC have been found, the specifics of the synaptic connections and the functional implications of the RSC-ACC projections remain less understood. In this study, we employed a combination of whole-brain imaging, in vitro electrophysiology, and two-photon calcium imaging techniques to confirm the presence of direct excitatory glutamatergic projections from the RSC to the ACC in mice. This excitatory transmission is predominantly mediated by the postsynaptic AMPA receptors. Furthermore, the activation of the RSC-ACC projections through opto-/chemogenetics significantly facilitated the behavioral responses to both mechanical and thermal nociceptive stimuli in adult mice. Notably, this activation did not influence spinal nociceptive responses in the tail-flick test, nor did it affect anxiety-like or aversive behaviors. These findings indicate that the RSC-ACC glutamatergic pathway modulates nociceptive perception primarily at the supraspinal cortical level. We have identified a novel cortico-cortical facilitatory pathway that contributes to nociceptive processing in the cingulate cortex. The RSC-ACC pathway probably serves to integrate memory engrams with pain perception in both humans and animals.
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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".