Quantification of vestibular perception during caloric test
Bibliographic record
Abstract
Background: It has been reported that factors such as age and vestibular pathology (i.e. vestibular migraine) could impact self-motion perception during vestibular stimulation. However, to our knowledge, no objective test has been developed to quantify self-motion perception during clinical vestibular evaluation. Objective: The main objective of the present study was to quantify vestibular perception during caloric vestibular stimulation using a tachometer. Methods: Twenty-two participants were divided into three groups: 1) younger healthy adults, 2) older healthy adults and 3) vestibular impaired adults. All participants performed bithermal water caloric irrigation during which slow-phase eye velocity (SPV) was measured using videonystagmography and self-motion velocity perception was assessed using a handheld tachometer (RPM). Results: The results revealed a significant difference in SPV between vestibular impaired ears and both healthy groups, and a significant difference in self-motion velocity perception between healthy young and vestibular impaired participants. Conclusions: This study suggest that the SPV similarly to self-motion perception (RPM) can differentiate between vestibular impaired and young healthy participants. Future work is required to assess the influence of self-motion perception in aging.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".