Gelastic seizures with dancing arising from the anterior prefrontal cortex
Bibliographic record
Abstract
AIM: This case report provides insight into the function of the anterior prefrontal cortex (aPFC), specifically Brodmann Area 10 (BA10), and its interconnectivity. METHOD: We present a 10-year-old patient with lesional epilepsy and ictal onset, localised to BA10 in the aPFC. RESULTS: Thirty-four seizures were recorded. All seizures involved a demonstration of elation with laughter that was associated with a variety of different patterns of complex motor behaviour that included performing specific celebratory movements and acting out a Michael Jackson dance move. Electrographically, the seizures were all stereotyped and arose from the right frontal region, followed by a distinct left temporal ictal rhythm that corresponded with the onset of the behaviours. The lesion in the right aPFC was identified as a mixed lesion with both dysembryoplastic neuroepithelial tumour cells and type II cortical dysplasia. CONCLUSION: The electrographic analysis and unique seizure semiology suggest a connection between the aPFC and the contralateral temporal lobe. This neural pathway appears to be involved in the activation of previously formed procedural memories, creating an intensely positive emotional experience.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".