Effects of corticosterone and DHEA on doublecortin immunoreactivity in the song control system and hippocampus of adult song sparrows
Bibliographic record
Abstract
Adult neuroplasticity is strongly influenced by steroids. In particular, corticosterone (CORT) and dehydroepiandrosterone (DHEA) can have opposing effects, where CORT reduces while DHEA increases neurogenesis and neuron recruitment. It has been previously shown that in adult male song sparrows, DHEA treatment increases neuron recruitment throughout the telencephalon, including the lateral ventricular zone, while the effect of CORT treatment is restricted to HVC, one of the song control regions. These data suggest that the two steroids may differentially affect proliferation, migration, differentiation, and/or survival of new neurons. To determine if CORT or DHEA alters the migration and differentiation of young neurons, we examined an endogenous marker of migrating immature neurons, doublecortin (DCX), in HVC and hippocampus of adult male song sparrows that were treated with CORT and/or DHEA for 28 days. In HVC, DHEA increased the number of DCX-labeled round cells, while CORT had no main effect on the number of DCX-labeled cells. Furthermore, DHEA increased the area covered by DCX immunoreactivity in HVC, regardless of CORT treatment. In the hippocampus, neither DHEA nor CORT affected DCX immunoreactivity. These results suggest that DHEA enhances migration and differentiation of young neurons into HVC while CORT does not affect the process, whether in the presence of DHEA or not.
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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) | 0.000 | 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 | 0.001 |
| 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".