Non-lesional eating epilepsy with temporo-insular onset: A stereo-EEG study
Bibliographic record
Abstract
Eating Epilepsy (EE) is a rare and often under-recognized form of reflex epilepsy, which manifests with seizures triggered during meals, with or without spontaneous seizures. The electro-clinical manifestations of EE are distinct with variable response to antiseizure drugs. We report the case of a 34-year-old man who was seen for a 4-year history of drug-resistant focal impaired awareness seizures associated with eating without a structural cause. Scalp video-EEG delineated a right temporal seizure focus with atypical features. Subsequent stereo-EEG revealed synchronized seizure onset from the right mesial temporal region and the right inferior insula. Resective surgery of the involved areas rendered this patient seizure-free with 3 years' follow-up. In non-lesional cases of drug-resistant EE, the epileptogenic zone can be large and deep, and therefore stereo-EEG was helpful in determining the seizure onset zone.
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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) | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".