Optokinetic After-Nystagmus: A Marker for Migraine? A Prospective Observational Study
Bibliographic record
Abstract
INTRODUCTION: Vestibular migraine (VM), particularly its chronic variant, poses a diagnostic challenge. Patients suffering from VM may not have the characteristic headaches associated with the dizziness. In these cases, a marker for migraine pathology in general could help appropriately diagnose certain types of dizziness as migrainous despite these patients not meeting current diagnostic criteria for VM. Migraine patients in general (headache and vestibular) are known to share a tendency toward intolerance of certain stimuli, including busy visual stimuli. True optokinetic stimulation, measured by the production of optokinetic after-nystagmus (OKAN) simulates these busy visual stimuli. METHODS: Prospective observational study comparing response to optokinetic stimulation between migraine patients and controls. Questionnaires regarding general sensitivities to busy visual stimuli were completed prior to beginning the study. Both subjective and objective markers of stress were measured before and after exposure to the stimulus. Initial slow-phase velocity, slow cumulative eye position, and adjusted time constant of OKAN were compared between the 2 groups. RESULTS: The groups differed only with regard to sensitivity to blinking lights and history of motion sickness on initial questionnaire. Regarding subjective symptoms of discomfort, migraine patients tended to report higher scores than controls both before and after testing, but there was no significant difference from before to after stimulus in each group's scores. There were no statistically-significant differences between initial slow-phase velocity, slow cumulative eye position, and adjusted time constant of OKAN between groups. CONCLUSIONS: In this study, OKAN measurements were not useful in differentiating migraine patients at large from control subjects. We hypothesize that there may be a distinct subgroup of migraine patients that are more sensitive to visually-disturbing situations that may differ from other migraine sufferers. Future studies will aim to identify such patients and compare them to controls.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".