Effects of virtual rehabilitation on cognition and quality of life of patients with Parkinson’s disease
Bibliographic record
Abstract
Abstract Introduction: Parkinson’s disease causes progressive decline of motor and cognitive functions leading to a decrease in the independence and quality of life of people affected. Training through virtual reality is proving effective, as it promotes cognitive and motor stimuli, which can be beneficial for these individuals, improving their quality of life. Objective: To analyze the effects of virtual reality on the cognition and quality of life of patients with Parkinson’s disease. Methods: A total of 11 individuals with a mean age of 65 (9.6) years classified in stages 1 to 3 of the Hoehn and Yahr Scale participated in this study. The subjects participated in fourteen sessions lasting one hour, twice a week for seven weeks in which they practiced four games of Kinect Adventures!. They were evaluated before, immediately after the intervention and 30 days after the intervention. Cognition was assessed using the Montreal Cognitive Scale (MoCA) and quality of life was assessed using the Parkinson’s Disease Questionnaire (PDQ-39). Results: Only PDQ-39 activities from the domain of daily living demonstrated a statistically significant improvement. The MoCA scores, in general, remained the same. Conclusion: Although virtual reality training promoted improvement in PDQ-39 activities in the daily life domain, it was not effective in the other domains assessed for quality of life and cognition.
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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 | 0.000 |
| 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".