Acute stress activates basolateral amygdala neurons expressing corticotropin-releasing hormone receptor type 1 (CRHR1): Topographical distribution and projection-specific activation in male and female rats
Bibliographic record
Abstract
Although the basolateral amygdala (BLA) and corticotropin releasing hormone receptor type I (CRHR1) signaling are both central to the stress response, the spatial and circuit-specific distribution of CRHR1 have not been identified in the BLA at a high resolution. We used transgenic male and female CRHR1-Cre-tdTomato rats to topographically map the distribution of BLA CRHR1 neurons and identify whether they are activated by acute stress. Additionally, we used the BLA circuits projecting to the central amygdala (CeA) and nucleus accumbens (NAc) as a model to test circuit-specific expression of CRHR1 in the BLA. We established several key findings. First, CRHR1 had the strongest expression in the lateral amygdala and in caudal portions of the BLA. Second, acute restraint stress increased FOS expression of CRHR1 neurons, and stress-induced activation was particularly strong in medial subregions of the BLA. Third, stress significantly increased FOS expression on BLA-NAc, but not BLA-CeA projectors, and BLA-NAc activation was more robust in males than females. Finally, CRHR1 was expressed on a subset of BLA-CeA and BLA-NAc projection neurons. Collectively, this expands our understanding of BLA molecular- and circuit-specific activation patterns following acute stress.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".