Effects of kinesthetic cues supported by physiotherapist during a motor training intervention with virtual reality-based games on functioning in people with Parkinson’s disease: A prospective, single-blinded, parallel-group, randomized clinical trial
Bibliographic record
Abstract
Abstract Background It’s been suggested that kinesthetic cues (KC) could be a useful tool in helping individuals improve their motor learning process by facilitating muscle activation. However, while virtual reality-based games (VRG) are becoming more popular as a intervention tool, the potential effects of KC on this kind of intervention have yet to be investigated in people with Parkinson’s disease (PwPD). Therefore, this study aimed to compare the effects of motor intervention using VRG coupled or not with KC provided by a physiotherapist (PT) during training on the functioning of PwPD. Methods Thirty-eight PwPD in 1-3 Hoehn and Yahr (HY) stage were randomized into two groups: (1) VRG with KC Group (KCG), where KC was provided by manual assistance of a PT, and (2) VRG with NO KC group (NKCG), where no PT manual assistance was provided during the training. Both groups received 8 individual sessions with 50 minutes, twice a week, for 4 weeks: 10 minutes for warm-up and 40 minutes to play 4 games from XBOX 360 with Kinect® system. Outcomes were evaluated at three time points: (1) before training (BT), (2) 1 week after training (AT), and 8 weeks after that as follow-up (FU). To reach a comprehensive evaluation of functioning, several outcomes were adopted and categorized according to International Classification of Functioning Disability and Health (ICF): Geriatric Depression Scale (GDS); Montreal Cognitive Assessment (MOCA); Unified Parkinson Disease Rating Scale (UPDRS) - section 3 (UPDRS-III); and Rapid Turns Test (RTT) used to assess motor and non-motor alteration into Function domain; Balance Evaluation Systems Test (BESTest); Falls Efficacy Scale International (FES-I); Thirty-Second Walk Test (30sWT); Six-Minute Walk Test (6mWT); 5 Times Sit to Stand Test; and UPDRS section II (UPDRS-II) used to assess motor performance into Activity domain, and finally, the Parkinson Disease Questionnaire (PDQ-39) to assess quality of life into Participation domain. Results ANOVA for repeated measures showed a significant effect for evaluation-time factor only (p-value<.001), (no effect for group or evaluation-time X group interaction) for all measures of three ICF domains, excluding GDS and 6mWT. The Tukey post-hoc test confirmed significant improvements in AT that remained at FU. Conclusions: A motor intervention using VRG can improve the functioning in terms of Function, Activity, and Participation of PwPD, regardless of the KC provided by PT during the training.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".