Use of Motor Imagery Enhances Vastus Medialis Obliquus Muscle Recruitment Amplitudes During Closed Kinetic Chain Squat Exercises
Bibliographic record
Abstract
The purpose of this study was to examine whether the use of motor imagery during the performance of a simple exercise results in increased recruitment in the actively contracting muscles. Sixteen female participants were randomly assigned to an imagery group (n = 8) or a control group (n = 8). Participants performed 3 repetitions of 2 exercises (squats and plies). Although there were no significant differences in vastus medialis obliquus (VMO) muscle activation (electromyography [EMG]) amplitudes between the imagery and control groups, there was a clear trend toward higher EMG amplitudes in the imagery group compared with the control group for the left VMO, which was attributed to the imagery group participants directing their imagery to the left limb. For both groups, the squat exercise elicited significantly higher EMG amplitudes than the plie exercise in both the concentric and eccentric phases of the movement. Although the expected significant differences in EMG amplitudes between the imagery and control groups were not observed, the results of this study suggest that motor imagery is a simple and cost-effective technique that may result in more effective training/rehabilitation practices.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".