Prolonged low-frequency force depression recovery response following an isometric triceps extension to volitional fatigue at a high versus low intensity contraction
Bibliographic record
Abstract
OBJECTIVE: To investigate the recovery of prolonged low-frequency force depression (PLFFD) within the first hour post-volitional fatigue following a sustained isometric triceps contraction performed at high (70 % of maximum voluntary force (MVF)) and low (20 % of MVF) intensities. BACKGROUND: High threshold and low threshold motor units contribute differently to force generation capability and fatigue at different rates. However, we know little about how high and low threshold motor units recover following fatiguing contractile activity. METHODS: Fourteen males and fourteen females sustained an isometric elbow extensor contraction until volitional fatigue at high (70 % MVF) and low (20 % MVF) intensities. The ratio of force generated by transcutaneous muscle stimulation of the triceps at 20 Hz and 100 Hz frequencies was measured at baseline and intermittently for 1 h post fatigue to characterize PLFFD. RESULTS: The 20/100 Hz force ratio was initially (0-4 min) significantly greater (meaning less force depression) following the high intensity protocol. However, the 20/100 Hz ratio for both intensities was similar for the duration of recovery thereafter. CONCLUSION: Initial differences in the 20/100 Hz ratio within the first 0-4 min are likely explained by post-activation potentiation following the higher intensity submaximal contraction. However, the similarity in the recovery of 20/100 Hz ratio thereafter supports the hypothesis that once PLFFD is present, the recovery rate may be independent from how fatigue and corresponding PLFFD developed. APPLICATION: The practical impact is that recovery of prolonged frequency fatigue may not depend on the intensity of the contraction that caused the fatigue.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".