Rhythmic auditory stimulation for reduction of falls in Parkinson’s disease: a randomized controlled study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To test whether rhythmic auditory stimulation (RAS) training reduces the number of falls in Parkinson’s disease patients with a history of frequent falls. Design: Randomized withdrawal study design. Subjects: A total of 60 participants (aged 62–82 years) diagnosed with idiopathic Parkinson’s disease (Hoehn and Yahr stages III or IV) with at least two falls in the past 12 months. Intervention: Participants were randomly allocated to two groups and completed 30 minutes of daily home-based gait training with metronome click–embedded music. The experimental group completed 24 weeks of RAS training, whereas the control group discontinued RAS training between weeks 8 and 16. Main measures: Changes in clinical and kinematic parameters were assessed at baseline, weeks 8, 16, and 24. Results: Both groups improved significantly at week 8. At week 16—after the control group had discontinued training—significant differences between groups emerged including a rise in the fall index for the control group ( M = 10, SD = 6). Resumption of training reduced the number of falls so that group differences were no longer significant at week 24 ( M experimental = 3, SD = 2.6; M control = 5, SD = 4.4; P > 0.05). Bilateral ankle dorsiflexion was significantly correlated with changes in gait, fear of falling, and the fall index, indicating ankle flexion as a potential kinematic mechanism RAS addresses to reduce falls. Conclusion: RAS training significantly reduced the number of falls in Parkinson’s disease and modified key gait parameters, such as velocity and stride length.
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.
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 | 0.014 | 0.029 |
| 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) | 0.000 | 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 it