Inputs from the basolateral amygdala to the nucleus accumbens shell control opiate reward magnitude via differential dopamine D1 or D2 receptor transmission
Bibliographic record
Abstract
The basolateral amygdala (BLA), ventral tegmental area and nucleus accumbens (NAc) form a functionally connected neural circuit involved in the processing of opiate-related reward and memory. Dopamine (DA) projections from the ventral tegmental area to the BLA modulate associative plasticity mechanisms within the BLA. However, the role of DA receptor signaling in the BLA and its functional outputs to the NAc during opiate reward processing is not currently understood. Using an unbiased place conditioning procedure, we measured the rewarding effects of morphine following intra-BLA microinfusions of specific DA D1 or D2 receptor agonists in either opiate-naive or opiate-dependent/withdrawn rats. Activation of intra-BLA D1 receptors strongly potentiated the behaviorally rewarding effects of opiates, only in the opiate-naive state. However, once opiate dependence and withdrawal occurred, the intra-BLA DA-mediated potentiation of opiate reward salience switched to a D2 receptor-dependent substrate. We next performed single-unit, in-vivo extracellular neuronal recordings in the NAc shell (NA shell), to determine if intra-BLA D1/D2 receptor activation may modulate the NA shell neuronal response patterns to morphine. Consistent with our behavioral results, intra-BLA D1 or D2 receptor activation potentiated NAc 'shell' (NA shell) neuronal responses to sub-reward threshold opiate administration, following the same functional boundary between the opiate-naive and opiate-dependent/withdrawn states. Finally, blockade of N-methyl-d-aspartate transmission within the NA shell blocked intra-BLA DA D1 or D2 receptor-mediated opiate reward potentiation. Our findings demonstrate a novel and functional DA D1/D2 receptor-mediated opiate reward memory switch within the BLA→NA shell circuit that controls opiate reward magnitude as a function of opiate exposure state.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".