New-onset Oscillopsia in a Patient With a History of Pontine Stroke
Bibliographic record
Abstract
ABSTRACT: A 69-year-old man with a history of pontine hemorrhage 2 years ago noticed binocular vertical diplopia after the stroke. On examination, there was a small-angle incomitant left hyperdeviation that did not fit the 3-step test for fourth nerve palsy and incyclotorsion of the higher eye. On motility testing, there was an obvious pendular nystagmus. Resting tremor of the right hand was noticed on neurological examination. Examination of the oropharynx revealed rhythmic oscillations of the soft palate synchronous with the eye oscillations and hand tremor. These findings established a diagnosis of oculopalatal myoclonus (OPM). Although OPM is a well-described entity, this case is unique because the patient was completely asymptomatic from OPM and did not complain of oscillopsia but was very bothered by vertical diplopia because of skew deviation. It also demonstrates that OPM may coexist with skew deviation because anatomically vestibulo-ocular pathway is close to the triangle of Guillain-Mollaret and patients with lesions in one pathway should be examined for abnormalities in the other. Finally, it reminds us about the importance of monitoring patients with a history of brainstem insults for emergence of synchronous tremors years later and that simple maneuver-like ex/amining oropharynx may provide a clear diagnosis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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".