Hippocampal–prefrontocortical circuits: PKA inhibition in the prefrontal cortex impairs delayed nonmatching in the radial maze in rats.
Bibliographic record
Abstract
Recent findings implicate the prefrontal cortex (PFC) and, in particular, frontocortical dopamine acting at D1-like receptors, in working memory. However, the mechanisms underlying this function of dopamine remain unknown. The present studies evaluated the hypothesis that dopamine contributes to working memory through its action on the 2nd messenger cyclic 3',5'-adenosine monophosphate (cAMP) and cAMP-dependent protein kinase (PKA). Thus, rats were trained to perform random foraging or delayed (30 min) nonmatching-to-position (delayed win-shift) tasks on the radial maze. With hippocampal output to the frontal cortex disconnected by injecting lidocaine (20 microg/0.5 microl) unilaterally into the ventral subiculum, contralateral frontocortical injections of lidocaine (20 microg/0.5 microl) or the D1-like dopamine receptor antagonist SCH 23390 (0.5 microg/0.5 microl) impaired delayed win-shift but not random foraging, replicating previous findings. In similarly disconnected rats, frontocortical injections of the PKA inhibitor Rp-cAMPS (5.0 and 10.0, but not 1.0, microg/0.5 microl) selectively impaired delayed nonmatching-to-position. Results suggest that activation of the cAMP-PKA pathway by dopamine acting at D1-like receptors in the frontal cortex is necessary for working memory.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".