Conditioned locomotion in rats following amphetamine infusion into the nucleus accumbens: blockade by coincident inhibition of protein kinase A
Bibliographic record
Abstract
Recent studies demonstrate a role for cyclic adenosine monophosphate (cAMP)-dependent protein kinase (PKA) in the nucleus accumbens (NAc) in reward-related learning. To clarify this role, we assessed the effect of PKA inhibition on the unconditioned and conditioned locomotor activating properties of intra-NAc amphetamine. Rats underwent three 60 min conditioning sessions, pairing a test environment with bilateral co-infusions of amphetamine (25 microg/side) and the PKA inhibitor Rp-adenosine 3',5'-cyclic monophosphothioate triethylamine (Rp-cAMPS) (0, 2.5, 250, 500 ng, 1, 10 or 20 microg/side). Two additional groups - receiving amphetamine explicitly unpaired with the environment or saline/environment pairings - served as controls. In a subsequent drug-free 60 min session, animals that received amphetamine/environment pairings demonstrated conditioned locomotion relative to controls. Rp-cAMPS co-treatment during pairing sessions differentially affected conditioned and unconditioned locomotor activation. Amphetamine-induced unconditioned activity was significantly enhanced by 500 ng and 1 microg Rp-cAMPS, locomotor sensitization was enhanced by 250 ng-1 microg Rp-cAMPS, and conditioned activity was attenuated by 1 microg Rp-cAMPS and blocked by 10 and 20 microg Rp-cAMPS. Thus, unconditioned activity and locomotor sensitization were enhanced at doses (250 ng-1 microg) that did not affect or attenuated conditioned activity, while conditioned activity was reduced or blocked at doses (1-20 microg) that enhanced or did not affect overall unconditioned activity. These results demonstrate that the activation of PKA plays a critical role in the process by which properties of drugs become associated with environmental stimuli.
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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 | 0.000 | 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".