D.06 Insular involvement in intractable epilepsy: results of invasive EEG data
Bibliographic record
Abstract
Background: Exploration of the insular cortex is now commonly considered in patients with refractory epilepsy requiring invasive EEG investigations. The safety and yield of routine insular exploration is uncertain. Methods: All patients (pediatric and adult) who had invasive EEG (iEEG) with insular depth electrode placement, either through SEEG or open implantation, were reviewed. Ictal insular involvement was characterized as primary, secondary or not involved. Results of insular resections were recorded. Results: A total of 173 patients had iEEG of which 26 included insular electrodes (SEEG-18, Open - 8). No complications of placement were identified. Insular involvement was seen in 20 (76%) patients. Primary ictal involvement was identified in 9 (33 %) patients, while secondary spread was noted in 11 (42 %) patients. Six patients went on to have resections including the insular cortex of which 5 patients achieved good seizure control (Engle class I/II). Conclusions: Insular depth electrode placement is a safe and effective adjunct to invasive EEG investigations. Ictal involvement of the insular cortex was commonly identified in our series leading to inclusion of the insula in cortical resections with good seizure control, which may not have been considered without iEEG evidence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".