ELECTRO-CLINICAL STUDY OF FOUR FIRST NATIONS FAMILIES WITH BENIGN FAMILIAL INFANTILE SEIZURES
Bibliographic record
Abstract
Objectives: The syndrome of benign familial infantile seizures (BFIS) is characterized by normal development, no remote neurological insult, a positive family history and onset in infancy of seizures typically localized to the occipito-parietal region. Methods: We report the electro-clinical features of a form of BFIS affecting twelve patients from four First Nations families located within the northwest region of British Columbia. Results: The mean age of seizure onset was 4 months (3 days –8 months) and the mean age of the last seizure was 7 months (4–10 months). Seizures were brief (less than 2 minutes) and had a tendency to cluster and occur during sleep. The response to antiepileptic medication was good and psychomotor development remained normal. The inheritance pattern appeared to be autosomal dominant with incomplete penetrance. Eight interictal and 2 ictal video-EEGs were performed on eight patients. The interictal EEG demonstrated frontal epileptiform activity in three, frontal slowing in two and was normal in three. Both ictal video-EEGs demonstrated bilateral tonic posturing followed by fine jerking movements associated with diffuse attenuation and postictal frontal slowing. Similar seizure semiology was described in the other affected family members. Conclusion: The clinical features and age of onset in these four families is similar to those described for BFIS. However, the ictal and interictal clinical and EEG features are suggestive of frontal lobe 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".