Tremor during movement correlates well with disability in people with essential tremor
Bibliographic record
Abstract
Essential tremor is the most common movement disorder, typically characterized by the presence of both postural and kinetic tremor of the hand. In recent studies, we described the effects of altering force and load conditions on tremor amplitude and power in people with essential tremor. In the same participants, we also measured tremor-related functional disability. In this article we report on the current study on correlations of measures of tremor severity with those of tremor-related functional disability. Twenty-one participants with essential tremor had tremor measured in their more tremorous hand. Power spectral and amplitude measures of tremor were calculated for each of 16 conditions: force tremor at 4 submaximal force levels, postural tremor in unloaded and 3 submaximal load conditions, and kinetic tremor in unloaded and 3 submaximal load conditions for each of concentric and eccentric contractions of the wrist extensors. Participants were rated on the hand items of the Fahn-Tolosa-Marin rating scale and timed on the unilateral hand tasks of the Test Évaluant la Performance des Membres supérieurs des Personnes Âgées. The most consistently high and significant correlations were found between kinetic tremor measures and the hand task scores and tremor-B scores (r = 0.548-0.780, P < .01). Postural tremor measures correlated with disability measures only in loaded conditions, most consistently with the hand task measures (r = 0.640-0.725, P < .01). Thus, measures of kinetic tremor and loaded postural tremor, but not unloaded postural tremor or force tremor, relate well to disability captured with dynamic tasks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".