The effect of vibrotactile somatosensory stimulation on Parkinson’s tremor
Bibliographic record
Abstract
This collection contains raw data, derivatives and scripts used for the research project "The effect of vibrotactile stimulation on tremor in Parkinson’s disease", published in Clinical Neurophysiology as "A prospective controlled study of a wearable rhythmic vibrotactile device for tremor in Parkinson’s disease" (CLINPH2010660). In specific, the collection contains the following data of 30 people with Parkinson’s disease (PD): Relevant clinical data (MDS-Unified PD rating scale, Montreal cognitive assessment, Graduated tuning fork test, demographics), raw surface electromyography and tri-axial accelerometry data, as acquired with Brainvision Recorder (Vers. 1.23.0001, Brain Products GmbH, Gilching, Germany). Raw output data of the vibratory stimulation device (Vyblife system; Vibro Health Inc., 2020). Derivatives and scripts of all planned and exploratory analyses described in the published article. Scientific background of the collection: Tremor in Parkinson’s disease (PD) does not always respond to dopaminergic medication, therefore new treatment strategies are needed. Preliminary evidence has suggested that manipulation of peripheral afferents may reduce tremor amplitude, but existing research is inconclusive and has not been properly controlled. Here, we explored the effects of peripheral vibrotactile stimulation on PD tremor using a within-subjects controlled design. Methods used to collect the data in this collection: Vibrotactile stimulation (open-loop) was applied to the most affected wrist of 30 people with Parkinson’s disease. Four stimulation conditions were compared: tremor frequency (TF), 1.5*TF, 80 Hz stimulation, and sham. We tested the effect of these stimulation conditions on tremor power (measured with accelerometry) during three contexts: rest tremor, rest tremor during cognitive load, and postural tremor. Entrainment between tremor and stimulation was tested using complex phase-locking value and tremor stability index. Effects of vibrotactile stimulation on bradykinesia were tested in a keyboard tapping test.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.006 | 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".