Cerebellar dysfunction in glaucoma patients
Bibliographic record
Abstract
Glaucoma patients often have higher injurious fall rates compared to healthy older adults. However, little is known about the underlying neural mechanisms. Recent evidence shows cerebral changes beyond the visual pathway of glaucoma patients, yet it remains unclear whether the cerebellum, which plays an important role in balance and motor control, is involved in glaucoma. In this study, we sought to investigate cerebellar functional connectivity changes in glaucoma by comparing 32 glaucoma subjects and 10 age-matched healthy control subjects who underwent resting-state functional magnetic resonance imaging at 3 Tesla with eyes closed. After conducting both regions-of-interest and seed-to-voxel analyses, we found that the functional connectivity within the cerebellum tended to be weakened in glaucoma patients compared to healthy controls, whereas the functional connectivity between some cerebral and cerebellar regions showed opposite changes in the same glaucoma subjects. Our findings underscore the potential role of cerebellar and cerebro-cerebellar dysfunction in postural and cognitive control in glaucoma patients. Taken together, these observations implicate the widespread brain changes in glaucoma beyond the cerebral regions into the cerebellum that may underlie the neural underpinnings of impaired balance control in this disease.
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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) | 0.003 | 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".