Do Children with Benign Rolandic Epilepsy Have a Higher Prevalence of Migraine than Those with Other Partial Epilepsies or Nonepilepsy Controls?
Bibliographic record
Abstract
PURPOSE: Prior studies have given conflicting data concerning the association of benign rolandic epilepsy of childhood (BREC) and migraine but were limited by lack of sensitive, diagnostic criteria for childhood migraine. By using revised International Headache Society (IHS-R) criteria, we compared the prevalence of migraine in children with BREC with that of those (a) with cryptogenic/symptomatic partial epilepsy and (b) without epilepsy. METHODS: Three cohorts of children, gender and age matched (within 1 year) were identified: (a) BREC, (b) cryptogenic/symptomatic partial epilepsy, and (c) no history of seizures. Parents were queried in a standardized interview about migraine and migraine equivalents in their child, and in either biologic parent. Migraine was defined by using the IHS-R (for children) and IHS criteria (for parents). Children with headache were divided into definite (meeting IHS-R criteria), probable (recurrent, throbbing headaches with nausea, vomiting, photophobia or phonophobia, not meeting IHS-R criteria), possible (recurrent headaches with throbbing character or associated nausea/vomiting), or nonmigraine groups. chi(2) analysis was used to determine whether the cohort with BREC had a higher prevalence of definite, definite or probable, or definite, probable, or possible migraines or migraine equivalents than the other two cohorts. RESULTS: Each cohort consisted of 53 children (mean age, 9.8-9.9 years, M/F ratio, 35:18). Those with BREC had higher rates of definite and probable (p = 0.05), of definite, probable, and possible migraine (p = 0.05), and of migraine equivalents excluding motion sickness (p < 0.005) than did those without seizures; however, they did not differ significantly from the cryptogenic/symptomatic partial epilepsy cohort. CONCLUSIONS: Partial epilepsy, regardless of etiology, is associated with higher rates of migraine in children. The pathophysiologic link between epilepsy and migraine is unknown.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".