Electrophysiology of Benign Familial Neonatal Seizures and the Current Therapeutic Approach
Bibliographic record
Abstract
Although neonatal seizures are not quite prevalent, the occurrences are noticed every year. Specifically, despite the low number of reports, it was found that some patients with a history of benign familial neonatal seizures were more likely to get epilepsies in their later life. However, largely due to the high ethical standards imposed on conducting research on neonatal populations, neonatal seizures and their anti-convulsant treatments are not as well-understood as the cause and the epidemiology of seizures found in adults. This is problematic, as prominent pharmacological approach for the neonatal seizures had been based on adjusting doses of conventional anticonvulsants for adults. This approach is not favorable as neonates have distinctive physiological characteristics, compared to those of adults. Thus, simply adjusting the dose of the drugs may have sub- or supra-therapeutic effects, or even lead to lethal effects on the patients. The focus of this paper is to explain the electrophysiological cause of benign familial neonatal seizures and the therapeutical attempts that had been done to treat the syndrome.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".