Extent of EEG Epileptiform Pattern Distribution in “Focal” Cortical Dysplasia
Bibliographic record
Abstract
To assess the pathophysiological complexity of cortical dysplasia-related intractable focal epilepsy among surgical candidates, using our data-based EEG classification system, we reviewed preresection scalp awake and sleep EEGs (median, 8) in 46 consecutive patients whose resected pathology disclosed cortical dysplasia. Epileptiform phenomena occurred on at least one EEG in 42 (91%) patients. Twenty-three (50%) of the 46 patients displayed at least one type of independently occurring abnormality (spikes, excess delta, or theta) in each hemisphere. Nineteen of these 23 (83%), thus 41% of all 46 patients, showed independently occurring epileptiform abnormalities (spikes) in each hemisphere, i.e., the multiple independent spike foci phenomenon. In an additional 13 of the 46 (28%) patients, spike foci involving more than one lobe appeared within a single hemisphere. Thus, spike foci involving more than one lobe appeared in 32 of the 46 (70%) patients. Generalized bilaterally synchronous epileptiform features (spike waves, slow spike waves, or fast rhythmic waves) appeared in 10 (22%) of the 46 patients. Two findings suggest more widespread dysfunction among extratemporal patients than temporal patients: (1) a significantly higher number of lobes containing focal interictal epileptiform activity in extra temporal patients (mean = 3.14) than among temporal patients (mean = 2.14) (P = 0.02), (2) a higher percentage of bisynchronous epileptiform abnormalities: 8 of 23 (35%) versus 2 of 23 (9%). Among 34 patients with a Principal Spike Lobe (more active spiking over more EEGs), those of 32 (94%) arose from the ultimately resected lobe. Of the 30 patients with scalp-recorded seizures, relationship between seizure origin and ultimately resected lobe were same lobe (16 patients), same and adjacent lobes (12), adjacent lobe only (1), and distant lobe (1). Thus, despite the multifocality of several EEG features, Principal Spike Lobe and scalp-recorded seizure origin correlate well with epileptogenesis.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".