Seminars in epileptology: Presurgical epilepsy evaluation
Bibliographic record
Abstract
All patients with drug-resistant seizures benefit from a comprehensive evaluation to confirm their seizure diagnosis and explore surgical treatment options. This seminar in epileptology discusses advancements in the field and provides specific didactic material to create an active working knowledge for the care of patients with focal drug-resistant epilepsy. The article reviews indications for a presurgical evaluation and the importance and benefits of early surgical intervention. Advancements in diagnostic techniques in the presurgical evaluation, including video-EEG monitoring, imaging, neuropsychological testing, and patient selection for invasive monitoring, are covered. An overview of common pathologies underlying surgical epilepsy syndromes and their MRI correlates is provided. A modern multimodal work-up allows individualized risk and benefit estimation and a personalized approach to surgical decision-making. The review concludes with a comprehensive discussion of postsurgical management, common complications, and rehabilitation after epilepsy surgery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.001 |
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 teacher head, 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".