Environmental Enrichment Improves Behavioral Outcome in the AY-9944 Model of Childhood Atypical Absence Epilepsy
Bibliographic record
Abstract
Atypical absence seizures are drug resistant in the majority of children with Lennox-Gastaut syndrome and herald a poor neurodevelopmental outcome. Here we studied the effects of environmental enrichment, enriched housing conditions designed to stimulate sensory and motor systems in the brain, on behavioral outcome in mice treated with the cholesterol biosynthesis inhibitor AY-9944 (AY), a clinically relevant model of atypical absence epilepsy. Beginning at postnatal day (P) 2, C3H mice were treated with AY (7.5 mg/kg) every 6 days until P20 and then weaned into enriched or standard cages. After 30 days (∼P50), AY mice from the enriched housing condition exhibited less behavioral hyperactivity and anxiety, improved olfactory recognition, and spatial learning, but no significant reduction in the number of ictal discharges in comparison with their non-enriched cohorts. The beneficial effects of environmental enrichment in AY model were in some behavioral tests gender-specific in favor of males suggesting that other, possibly hormonally mediated mechanisms, may interact with the therapeutic effects of enrichment. Taken together, these data provide a starting point to derive clinical occupational therapies for improving behavioral outcome in cases of intractable childhood seizures.
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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) | 0.001 | 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".