El mutante de mielina taiep como un modelo de crisis de ausencia
Bibliographic record
Abstract
Taiep rat is a myelin mutant rat with hypomyelination followed by progressive demyelination. This mutant presents cortical discharges with a spindle form, with an ascending and descending phases similar to absence epilepsy. METHODS: Taiep rats were maintained under standard animal room conditions with free access to balanced rodent pellets and tap water. Rats were anesthetized with chloral hydrate under aseptic conditions; three stainless steel screws and a bipolar electrode were implanted in the hippocampus. The signals were amplified, filtered and recorded using a video-EEG Harmonie system (Canada). All data were analyzed using Sensa and Luna modules. RESULTS: Our results showed that taiep rats have spike-wave discharges (SWD) during wake, slow wake sleep (SWS) and rapid eye movement (REM), being statistically higher and longer during awake period than SWS or REM sleep. The systemic administration of pilocarpine, a cholinergic agonist, increased dramatically the cortical discharges with five characteristic seizures patterns and concomitantly decreased the frequency and duration of absence crisis. However, only 80% of the taiep rats tested showed this paroxysm. On the other hand, 100% of control Sprague-Dawley rats showed tonic clonic seizures, indicating some type of resistance to this muscarinic cholinergic drug in taiep rats. CONCLUSIONS: These results showed that the taiep rat, a myelin mutant, is a good model for the electrophysiological and pharmacological study of absence epilepsy, particularly considering its resistance to pilocarpine-induced seizures
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".