Motor imagery ability of patients with lower-limb amputation: exploring the course of rehabilitation effects
Bibliographic record
Abstract
BACKGROUND: Amputation of a lower-limb results in a severe decrease of functional mobility that deeply alters independent living. Motor imagery (MI) refers to the mental representation of an action without engaging its actual execution. The repetitive use of MI has been shown to contribute to promote motor recovery and phantom-limb pain alleviation. AIM: Given the importance of invoking accurate images to benefit from MI practice, and considering the link between motor capacities and MI, the present study investigated the effect of a rehabilitation program on MI ability in patients with lower-limb amputation. DESIGN: Observational and longitudinal study. SETTING: Patients recruited from the Amputation program at the Institut de Réadaptation en Déficience Physique de Québec (IRDPQ), in Quebec City, Canada. POPULATION: Patients with trans-tibial or transfemoral amputation, following a rehabilitation program as outpatients. METHODS: MI ability of the patients was measured at three different time points along the course of physical therapy. RESULTS: The data revealed a positive effect of the rehabilitation program on MI accuracy of locomotor tasks, and greater MI vividness and accuracy for single-joint movements that patients were still able to physically perform. CONCLUSIONS: These findings suggest that MI abilities and actual motor performance are mirrored in a congruent fashion. CLINICAL REHABILITATION IMPACT: Therapists should consider this critical aspect when including MI practice in rehabilitation programs among patients with lower-limb amputation.
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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 | 0.001 | 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 | 0.001 |
| 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".