NEURAL EXCITABILITY FOLLOWING RESISTANCE TRAINING STUDIED WITH TRANSCRANIAL MAGNETIC STIMULATION
Bibliographic record
Abstract
An increase in the excitability of the central nervous system during resistance training has been implicated through observations of increases in the surface EMG during maximal contractions. PURPOSE The purpose of the study was to test this hypothesis by measuring changes in the amplitude of motor evoked potentials (MEP) elicited by transcranial magnetic stimulation of the cortex before and after short-term resistance training. METHODS Ten subjects participated in a resistance training program and 10 subjects were matched as controls. The training group performed six sets of 10 maximal isometric voluntary contractions (MVCs) of the tibialis anterior muscle three times a week for four weeks. Each contraction was held for 5 seconds. The data recorded during the experiment were: the average of three maximal voluntary contractions at the start of each training day, mean maximal surface EMG (EMGmax) during three MVCs, maximal M-waves elicited by supramaximal stimulation of the peroneal nerve and the average of ten MEPs elicited during a baseline contraction of 10% MVC. RESULTS There was a progressive increase in all parameters over the course of the experiment. By the end of the twelfth training session the pooled data showed that the force of the maximal voluntary contraction increased by 18.9 ± 1.8%. The peak-to-peak amplitude of the maximal M-wave, RMS of the maximal surface EMG normalized to the maximal M-wave and the peak-to-peak amplitude of the MEP normalized to the maximal M-wave all increased significantly (p <0.05). There were no changes in any of these parameters measured in the control group over the same period. CONCLUSION These data indicate that there may be an increase in the excitability of the entire motor pathway, from the cortex to the sarcolemma, following a short, intense period of isometric resistance training. However, the extent to which this increase in excitability actually functions to increase maximal force output needs to be determined. Supported by NSERC
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".