Cognitive strategy use to enhance motor skill acquisition post-stroke: A critical review
Bibliographic record
Abstract
OBJECTIVE: The objective of this critical review was to examine the literature regarding the use of cognitive strategies to acquire motor skills in people who have had a stroke, to determine which strategies are in use and to compile evidence of their effectiveness. SEARCH TERMS: A computerized search of a range of databases was conducted using the following search terms: stroke, cerebrovascular accident; combined with strategy training, learning strateg*, cognitive strateg*, metacognitive strateg*, goal setting, goal planning, goal attainment, goal direct*, goal orient*, self talk, imagery, mental practice, self evaluat*, ready*, attentional focus*, problem solv*, goal management; combined with motor, mobility, activit*, skill, task, function, ADL. RESULTS: Twenty-six articles were reviewed. Seven studies investigated general cognitive strategies and 19 investigated task-specific strategies. The most commonly studied task-specific strategy was motor imagery. Findings suggest that general strategy training improves performance in both trained and untrained activities compared to traditional therapy; and that a specific motor imagery protocol can improve mobility and recovery in the affected upper extremity in people living with the chronic effects of stroke. CONCLUSION: This foundational evidence supports the further development of novel cognitive strategy-based interventions with the intention of improving long-term stroke outcomes.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".