Caloric restriction alters seizure disposition and behavioral profiles in seizure-prone (fast) versus seizure-resistant (slow) rats.
Bibliographic record
Abstract
Caloric restriction (CR), primarily known for extending life span, has proven anticonvulsant in several seizure models and antiepileptogenic in a strain of inherently seizure susceptible mice. Our animal model consisted of a seizure-prone (Fast) strain that naturally exhibits attention-deficit/hyperactivity disorder (ADHD)-like behaviors and a comparison seizure-resistant (Slow) strain; we evaluated CR's effect on the typical seizure sensitivities and behavioral profiles of each strain. Fast and Slow rats were fed ad libitum or were calorically restricted to 80% of free-feeding body weight. Rats were then tested in the open field (hyperactivity), Morris water maze (learning and attention), and restraint (impulsivity) paradigms and finally kindled from the amygdala. Ultimately, CR abolished signs of abnormal hyperactivity in the Fast strain and retarded their kindling rates, making it the first manipulation to demonstrate an antiepileptogenic effect in this animal model. CR also shortened seizure durations in fully kindled Slow rats but had no effect on their kindling rates, implying a differential effect of CR on genotype. These results clearly endorse further investigation into the potential benefits of CR for both epilepsy and ADHD.
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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) | 0.002 | 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".