Early environment contributes to developmental disruption of MPFC after neonatal ventral hippocampal lesions in rats
Bibliographic record
Abstract
Using a putative animal model of schizophrenia, neonatal rat ventral hippocampal (VH) lesions, combined with cross-fostering Lewis and Fisher rats, we previously demonstrated that the postpubertal expression of amphetamine-induced hyperlocomotion after lesioning depends on the early environment of the pups. However, an important question that emerged from our studies was whether the early environment leads to sparing of function within the VH or to the disruption of another structure, such as the medial prefrontal cortex (MPFC). To answer this question, we took advantage of the natural variation in maternal care of Sprague-Dawley rat dams and separated them into high and low arched back nursing (ABN) groups. Then, on postnatal day 7 (PD7) the pups from the two groups of dams were lesioned in the VH. As a measure of VH function, the rats were tested in a reference memory paradigm, which demonstrated that nVH-lesioned rats raised by high or low ABN dams had pronounced deficits, suggesting that VH functions are not fully spared. Next, the integrity of the MPFC was tested in a number of paradigms in which MPFC function has been implicated. In all three paradigms a similar result was found, that only lesioned rats raised by high ABN dams displayed deficits, such as a lack of MPFC control of amphetamine-induced locomotion, decreased working memory, and decreased anxiety. These results suggest that the early environment does not affect the recovery of the VH to nVH lesion. Rather, the early environment interacts with nVH lesions in such a way that disrupts the development and function of MPFC.
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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 | 0.001 | 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".