Neuromuscular Fatigue in Stretch-Shortening Cycle Exercises

2015 ◽  
pp. 134-147
Author(s):  
Caroline Nicol ◽  
Paavo V. Komi
Keyword(s):  
Neuromuscular Fatigue ◽  
Stretch Shortening Cycle

Neuromuscular fatigue recovery following rapid and slow stretch–shortening cycle movements

2012 ◽  
Vol 37 (3) ◽  
pp. 437-447 ◽  
Author(s):  
Katie P. Wadden ◽  
Duane C. Button ◽  
Armin Kibele ◽  
David G. Behm
Keyword(s):  
Training Programs ◽  
Compound Action Potential ◽  
Neuromuscular Fatigue ◽  
Training Status ◽  
Condition Versus ◽  
Drop Jumps ◽  
Stretch Shortening Cycle ◽  
Underlying Mechanisms ◽  
Voluntary Contractions ◽  
Fatigue Recovery

The purpose of this study was to investigate underlying mechanisms and neuromuscular recovery patterns following rapid and slow stretch–shortening cycle (SSC) movements performed to fatigue. Fourteen (10 moderately trained (MT) and four highly trained (HT)) subjects completed rapid and slow SSC movements to fatigue. The rapid SSC movement consisted of continuous drop jumps from a 30 cm platform until a predetermined jump height was no longer maintained, and the slow SSC movement consisted of continuous squats to 90° of knee flexion at a load of 65% of subject’s one-repetition maximum until no further repetitions could be completed. Although blood lactate measures were significantly (p < 0.002) higher after the rapid SSC condition versus after the slow SSC condition, the recovery of neuromuscular properties (maximum voluntary contractions, twitch force, muscle compound action potential) following the two conditions to fatigue did not differ. The duration of the rapid SSC movement was dependent on the training status of the subject; HT subjects performed the rapid SSC longer (68.2%) than the MT subjects until fatigued. Thus, the neuromuscular fatigue recovery patterns were independent of the type of SSC movement, condition duration, and subject training status. Because rapid and slow SSC exercises induce similar fatigue patterns, training programs incorporating rapid SSC exercises can be developed similar to that prescribed in traditional slow SSC resistance training programs.

Neuromuscular fatigue after maximal stretch-shortening cycle exercise

1998 ◽  
Vol 84 (1) ◽  
pp. 344-350 ◽  
Author(s):  
V. Strojnik ◽  
P. V. Komi
Keyword(s):  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Peak Torque ◽  
Neuromuscular Fatigue ◽  
Cycle Exercise ◽  
Kinase Activation ◽  
Time To Peak ◽  
Single Twitch ◽  
Drop Jumps ◽  
Stretch Shortening Cycle

Strojnik, V., and P. V. Komi. Neuromuscular fatigue after maximal stretch-shortening cycle exercise. J. Appl. Physiol. 84(1): 344–350, 1998.—To examine some possible sites of fatigue during short-lasting maximally intensive stretch-shortening cycle exercise, drop jumps on an inclined sledge apparatus were analyzed. Twelve healthy volunteers performed jumps until they were unable to maintain jumping height >90% of their maximum. After the workout, the increases in the blood lactate concentration and serum creatine kinase activation were statistically significant ( P < 0.001 and P < 0.05, respectively) but rather small in physiological terms. The major changes after the workout were as follows: the single twitch was characterized by smaller peak torque ( P < 0.05) and shorter time to peak ( P < 0.05) and half-relaxation time ( P < 0.01). The double-twitch torque remained at the same level ( P > 0.05), but with a steeper maximal slope of torque rise ( P < 0.05); during 20- and 100-Hz stimulation the torque declined (both P < 0.01) and the maximal voluntary torque changed nonsignificantly but with a smaller maximal slope of torque rise ( P < 0.01) and a higher activation level ( P < 0.05), accompanied by an increased electromyogram amplitude. These findings indicate that the muscle response after the short-lasting consecutive maximum jumps on the sledge apparatus may involve two distinct mechanisms acting in opposite directions: 1) The contractile mechanism seems to be potentiated through a shorter Ca2+ transient and faster cross-bridge cycling, as implied by twitch changes. 2) High-frequency action potential propagation shows an impairment, which is suggested as the possible dominant reason for fatigue in exercise of this type.

Perceived physical exertion is a good indicator of neuromuscular fatigue for the core muscles

2019 ◽  
Vol 49 ◽  
pp. 102360 ◽  
Author(s):  
Carlos Cruz-Montecinos ◽  
Alejandro Bustamante ◽  
Macarena Candia-González ◽  
Carolina González-Bravo ◽  
Paula Gallardo-Molina ◽  
...  
Keyword(s):  
Physical Exertion ◽  
Neuromuscular Fatigue ◽  
The Core

Influence of Neuromuscular Fatigue on Accelerometer Load in Elite Australian Football Players

2013 ◽  
Vol 8 (4) ◽  
pp. 373-378 ◽  
Author(s):  
Stuart J. Cormack ◽  
Mitchell G. Mooney ◽  
Will Morgan ◽  
Michael R. McGuigan
Keyword(s):  
High Speed ◽  
Neuromuscular Fatigue ◽  
Football Players ◽  
Countermovement Jump ◽  
Baseline Measure ◽  
Running Activity ◽  
Australian Football ◽  
Percent Contribution ◽  
Playing Time ◽  
The Impact

Purpose:To determine the impact of neuromuscular fatigue (NMF) assessed from variables obtained during a countermovement jump on exercise intensity measured with triaxial accelerometers (load per minute [LPM]) and the association between LPM and measures of running activity in elite Australian Football.Methods:Seventeen elite Australian Football players performed the Yo-Yo Intermittent Recovery Test level 2 (Yo-Yo IR2) and provided a baseline measure of NMF (flight time:contraction time [FT:CT]) from a countermovement jump before the season. Weekly samples of FT:CT, coaches’ rating of performance (votes), LPM, and percent contribution of the 3 vectors from the accelerometers in addition to high-speed-running meters per minute at >15 km/h and total distance relative to playing time (m/min) from matches were collected. Samples were divided into fatigued and nonfatigued groups based on reductions in FT:CT. Percent contributions of vectors to LPM were assessed to determine the likelihood of a meaningful difference between fatigued and nonfatigued groups. Pearson correlations were calculated to determine relationships between accelerometer vectors and running variables, votes, and Yo-Yo IR2 score.Results:Fatigue reduced the contribution of the vertical vector by (mean ± 90% CI) –5.8% ± 6.1% (86% likely) and the number of practically important correlations.Conclusions:NMF affects the contribution of individual vectors to total LPM, with a likely tendency toward more running at low speed and less acceleration. Fatigue appears to limit the influence of the aerobic and anaerobic qualities assessed via the Yo-Yo IR2 test on LPM and seems implicated in pacing.

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