Activating group II metabotropic glutamate receptors in the basolateral amygdala inhibits increases in reward seeking triggered by discriminative stimuli in rats
Bibliographic record
Abstract
BACKGROUND: Reward-associated cues guide reward-seeking behaviors. These cues include conditioned stimuli (CSs), which occur following seeking actions and predict reward delivery, and discriminative stimuli (DSs), which occur response-independently and signal that a seeking action will produce reward. Metabotropic group II glutamate (mGlu2/3) receptors in the basolateral amygdala (BLA) modulate CS-guided reward seeking; however, their role in DS effects is unknown. METHODS: We developed a procedure to assess DS and CS effects on reward seeking in the same subjects within the same test session. Female and male rats self-administered sucrose where DSs signaled periods of sucrose availability (DS+) and unavailability (DS-). During DS+ trials, lever presses produced sucrose paired with a CS+. During DS- trials, lever presses produced a CS- and no sucrose. Across 14 sessions, rats learned to load up on sucrose during DS+ trials and inhibit responding during DS- trials. We then determined the effects of intra-BLA microinfusions of the mGlu2/3 receptor agonist LY379268 on cue-evoked sucrose seeking during a test where the DSs and CSs were presented response-independently, without sucrose. Before testing, rats received intra-BLA microinjections of artificial cerebrospinal fluid (aCSF) or LY379268. RESULTS: Under aCSF, only the DS+ and DS+CS+ combination triggered increases in reward-seeking behavior. The CS+ alone was ineffective. Intra-BLA LY379268 suppressed the increases in sucrose seeking triggered by the DS+ and DS+CS+ combination. CONCLUSIONS: Using a new procedure to test reward seeking induced by DSs and CSs, we show that BLA mGlu2/3 receptor activity mediates the incentive motivational effects of reward-predictive DSs.
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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) | 0.001 | 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 | 0.001 |
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".