Saccade and pupil changes in children recovering from opsoclonus‐myoclonus ataxia syndrome reveal midbrain alterations in oculomotor circuits
Bibliographic record
Abstract
Objective: This study measured eye movements in children with a history of opsoclonus-myoclonus ataxia syndrome in order to identify abnormalities in saccade and pupil behavior that map onto specific alterations in brainstem pathways. Methods: We used video-based eye tracking while participants freely viewed 10 min of short (2-4 s) video clips without instructions. Clip transitions represented a large visual perturbation and we quantified multiple characteristics of saccade and pupil responses following these transitions in 13 children recovering from opsoclonus-myoclonus and 13 healthy, age-matched control participants. Results: The frequency of saccades and distribution of fixation durations differed between the groups. Following the clip transitions, children recovering from opsoclonus-myoclonus ataxia syndrome exhibited longer time to initiate saccades, leading to a delay in harvesting visual information. Clip transitions to lighter clips produced similar pupil constriction responses in the two groups. However, clip transitions to darker clips produced dilation responses that were initiated earlier and of greater magnitude in opsoclonus-myoclonus ataxia syndrome, suggesting removal or suppression of a signal that delays dilation. Interpretation: Children with a history of opsoclonus-myoclonus ataxia syndrome demonstrated key abnormalities in saccade and pupil metrics. We propose a novel hypothesis in which dysfunction in the pathway from the superior colliculus to the mesencephalic and pontine reticular formation that houses the saccade and pupil premotor circuits could produce these results.
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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) | 0.000 | 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".