Steroid hormones and maternal experience interact to induce glial plasticity in the cingulate cortex
Bibliographic record
Abstract
Neocortical plasticity is not usually associated with changes in reproductive function. However, we have shown a six to 10-fold increase in the number of astrocytes labeled with glial fibrillary acidic protein (GFAP) and astrocytic basic fibroblast growth factor or FGF-2 (bFGF) in the cingulate cortex area 2 (Cg2) in postpartum rats, indicative of changes in connectivity in this area. In the present studies, we investigated the necessary and sufficient stimuli for these changes to occur. We show that 3 h of maternal experience combined with a hormonal treatment that mimics late pregnancy induces the astrocytic changes in Cg2 in virgin rats. The extent of these changes was similar to those of postpartum females. Sensitized virgin females did not show any astrocytic changes after 3 h of maternal behavior, suggesting that a similar amount of maternal experience alone is not sufficient to increase astrocytic bFGF- and GFAP-immunoreactivity in Cg2. Consistent with these data, eliminating early maternal experience by removing pups immediately postpartum abolishes the increased bFGF and GFAP protein expression in the cingulate cortex. These results suggest that maternal experience and hormonal state interact to produce astrocytic remodeling in the Cg2. The current results are consistent with a role for the cingulate cortex in maternal responsivity as suggested by early lesion studies in rats and more recent imaging studies in humans.
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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 | 0.000 |
| 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".