Defective Human Motion Perception in Cervical Dystonia Correlates With Coexisting Tremor
Bibliographic record
Abstract
BACKGROUND: The ability to predict temporal outcome of body movement is abnormal in idiopathic dystonia and can be altered by cerebellar neuromodulation. Tremor in cervical dystonia might be associated with performance on motion perception tasks. METHODS: A total of 15 cervical dystonia patients with and 14 without tremor and 15 age-matched healthy participants estimated the termination of videos showing different movements (handwriting a sentence, ball reaching a target) after these were darkened at different time intervals. RESULTS: = 4.57; P = 0.016). The percentage of responses in anticipation for both motion tasks did not differ across groups, suggesting lack of timing error directionality. CONCLUSIONS: Temporal processing of perceived motion in cervical dystonia is associated with the presence of tremor. Cortico-cerebellar network abnormalities in cervical dystonia might account for motion processing changes in these patients. © 2020 International Parkinson and Movement Disorder Society.
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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 | 0.002 |
| 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) | 0.005 | 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".