Teaching NeuroImage: Hyperglycemia-Induced Occipital Lobe Seizures
Bibliographic record
Abstract
A 64-year-old man was admitted with right-sided headache and confusion.He experienced episodes of left-sided flashing lights evolving to left-beating nystagmus with impaired awareness, suggesting right occipital lobe-onset seizures, for which levetiracetam was prescribed.Between episodes, he had left homonymous hemianopia.Brain MRI showed right occipital lobe swelling with cortical T2-fluid-attenuated inversion recovery (FLAIR) hyperintensity and diffusion restriction (Figure).Blood glucose on admission was 21.8 mmol/L (normal: 3.4-11 mmol/L) and HbA1C was 12.8%, indicating a new diagnosis of diabetes mellitus and raising concern for hyperglycemia-induced occipital lobe seizures.1,2 Testing for alternative etiologies including CSF bacterial culture, viral PCRs, cytology, and autoimmune encephalitis antibodies, as well as serum anti-myelin oligodendrocyte glycoprotein (MOG), was negative.After blood glucose normalization, his symptoms resolved.Repeat brain MRI 8 weeks later was unremarkable (Figure).Occipital lobe seizures are a rare but characteristic manifestation of hyperglycemia.Glycemic control generally results in their resolution, emphasizing the importance of prompt diagnosis.1,
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".