A model of atypical absence seizures
Bibliographic record
Abstract
OBJECTIVE AND BACKGROUND: Atypical absence seizures differ markedly from typical absence seizures in EEG findings, ictal behavior, and neurodevelopmental outcome. The object of these experiments was to provide electrical, behavioral, pharmacologic, and developmental characterization of a putative animal model of atypical absence seizures. METHODS: Atypical absence seizures were induced in Long Evans hooded rats by treatment with a cholesterol biosynthesis inhibitor, AY-9944 (AY), during development. Prolonged video EEG recordings were made from chronically implanted depth electrodes in the waking and sleep states in adult and developing animals during and after AY treatment. Also, the response of AY-induced atypical absence seizures to drugs known to exacerbate and block typical absence seizures was ascertained. RESULTS: AY treatment resulted in spontaneous, bilaterally synchronous, slow spike-and-wave discharges (SWD), which were frequent, recurrent, prolonged, and lifelong. SWD began as early as postnatal day 21, occurred throughout all stages of sleep, and were associated with myoclonic jerks during sleep. The SWD were significantly prolonged by carbamazepine, gamma-hydroxybutyrate, and the gamma-aminobutyrate type B (GABA(B)) receptor (GABA(B)R) agonist baclofen. AY-induced seizures were abolished by diazepam, ethosuximide, and the GABA(B)R antagonist CGP 35348 but returned as the drugs were eliminated. Atypical features of absence seizures in this model are slow spike-wave, emanation of SWD from hippocampus, gradual onset and offset of ictal behavior, and the ability of the animals to move during the spike-and-wave bursts. CONCLUSION: The AY-treated rat represents a predictable, reproducible, and clinically relevant animal model of atypical absence seizures that may be used to investigate the pathogenesis and treatment of this malignant disorder.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".