Video-Oculography for Enhancing the Diagnostic Accuracy of Early Oculomotor Dysfunction in Progressive Supranuclear Palsy
Bibliographic record
Abstract
OBJECTIVE: Oculomotor impairment is an important diagnostic feature of progressive supranuclear palsy (PSP) and PSP subtypes. We assessed the role of video-oculography (VOG) in confirming clinically suspected slow saccades in PSP and differentiating PSP from Parkinson's disease (PD). We also measured the correlation of both saccadic velocity and latency in PSP patients with scores on the PSP Rating Scale, Montreal Cognitive Assessment, and frontal assessment battery. We assessed the frequency of apraxia of eyelid opening (ALO) and reflex blepharospasm in PSP and PD patients. METHODS: A total of 112 PSP patients with slow saccades but not gaze palsy, 50 PD patients, and 50 healthy controls (HCs) were recruited. The Movement Disorders Society task force-PSP and PD criteria were used for the diagnoses. All the subjects underwent VOG. RESULTS: Horizontal and vertical saccadic velocities and latencies differentiated PSP patients from PD patients and HCs (p<0.001). Vertical saccadic velocity and latency accurately differentiated PSP with predominant parkinsonism (PSP-P) patients from PD patients (p<0.001 and 0.012, respectively). A couple of vertical and horizontal saccadic velocities differentiated PSP-Richardson's syndrome (PSP-RS) patients from PSP-P patients (vertical velocity of left eye: p=0.024; horizontal velocity of right eye: p=0.030). In vertical gaze, the mean velocity cutoff showed good sensitivity and specificity in differentiating PSP patients from HCs and PD patients. Prolonged horizontal gaze latency was associated with more severe PSP and worse global cognitive and frontal dysfunction. ALO and reflex blepharospasm were observed only in PSP patients. CONCLUSION: VOG is useful for confirming slow saccades in PSP-RS and PSP-P patients and for differentiating PSP-P patients from PD patients. Prolonged horizontal gaze latency was associated with more severe PSP and worse cognitive dysfunction. ALO and reflex blepharospasm were observed only in PSP patients.
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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 | 0.004 |
| 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".