<i>The 1981 C. H. McCloy Research Lecture</i>: Analysis of Local Muscular Fatigue Patterns

Kroll, Walter

doi:10.1080/02701367.1981.10607899

Cited by 13 publications

(11 citation statements)

References 23 publications

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“…While the present results support the role of motor learning in resistive exercise, the more complex contraction pattern (extension‐to‐flexion) did not infer with the development of muscle coordination as predicted (Kroll ). We believe that the experimental group exhibited adaptations comparable to the control group, because they were given a sufficient number of contractions within each session to develop an internal model for successful task completion, which was refined and updated across the three consecutive sessions (McGuire et al.…”

Section: Discussioncontrasting

confidence: 75%

“…). It has been speculated that simple planar resistive exercise tasks involving flexion or extension “only” reinforces a reciprocal inhibition pattern that reduces antagonist coactivation with motor learning (Kroll ). It is not known if training regimens consisting of the reversal of antagonists contraction pattern can result in a decrease in antagonist coactivation.…”

Section: Introductionmentioning

confidence: 99%

“…; Osu et al. ), while allowing the agonist muscle to contract unimpeded to maximize the expression of force (Kroll ).…”

Section: Introductionmentioning

confidence: 99%

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Task complexity and maximal isometric strength gains through motor learning

2014

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This study compared the effects of a simple versus complex contraction pattern on the acquisition, retention, and transfer of maximal isometric strength gains and reductions in force variability. A control group (N = 12) performed simple isometric contractions of the wrist flexors. An experimental group (N = 12) performed complex proprioceptive neuromuscular facilitation (PNF) contractions consisting of maximal isometric wrist extension immediately reversing force direction to wrist flexion within a single trial. Ten contractions were completed on three consecutive days with a retention and transfer test 2‐weeks later. For the retention test, the groups performed their assigned contraction pattern followed by a transfer test that consisted of the other contraction pattern for a cross‐over design. Both groups exhibited comparable increases in strength (20.2%, P < 0.01) and reductions in mean torque variability (26.2%, P < 0.01), which were retained and transferred. There was a decrease in the coactivation ratio (antagonist/agonist muscle activity) for both groups, which was retained and transferred (35.2%, P < 0.01). The experimental group exhibited a linear decrease in variability of the torque‐ and sEMG‐time curves, indicating transfer to the simple contraction pattern (P < 0.01). The control group underwent a decrease in variability of the torque‐ and sEMG‐time curves from the first day of training to retention, but participants returned to baseline levels during the transfer condition (P < 0.01). However, the difference between torque RMS error versus the variability in torque‐ and sEMG‐time curves suggests the demands of the complex task were transferred, but could not be achieved in a reproducible way.

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Section: Discussioncontrasting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

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Task complexity and maximal isometric strength gains through motor learning

2014

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“…However, high-strength individuals frequently exhibit an initial steep decline in force resulting in a quadratic polynomial component in the fatigue curve [26,34]. On a relative basis, high-strength subjects (both men and women) demonstrate greater declines in force than do low-strength subjects [32,33]. Similarly, fast-twitch motor units fatigue faster than slow-twitch motor units [59], and the greater proportion of slow-twitch motor units in the older adults would provide more fatigue-resistance.…”

Section: Discussionmentioning

confidence: 98%

“…However, a greater decline in MU firing rates was observed in the young adults than in the older adults (statistical symbols -*, p < 0.05; , p < 0.01). 33 imp/s in the tibialis anterior. Although we reported somewhat higher values earlier [48], this is likely due to the choice of metric for computing maximal firing rate.…”

Section: Discussionmentioning

confidence: 98%

Decreases in motor unit firing rate during sustained maximal-effort contractions in young and older adults

Rubinstein

Kamen

2005

Journal of Electromyography and Kinesiology

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Muscular fatigue patterning in power grip assessment

Robertson

Mullinax²,

Brodowicz

et al. 1996

J Occup Rehab

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Physical fatigue has been identified as a risk factor associated with the onset of occupational injury. Muscular fatigue developed from repetitive hand-gripping tasks is of particular concern. This study examined the use of a maximal, repetitive, static power grip test of strength-endurance in detecting differences in exertions between workers with uninjured and injured hands, and workers who were asked to provide insincere exertions. The main dependent variable of interest was power grip muscular force measured with a force strain gauge. Group data showed that the power grip protocol, used in this study, provided a valid and reliable estimate of wrist-hand strength-endurance. Force fatigue curves showed both linear and curvilinear effects among the study groups. An endurance index based on force decrement during repetitive power grip was shown to differentiate between uninjured, injured, and insincere groups.

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The 1981 C. H. McCloy Research Lecture: Analysis of Local Muscular Fatigue Patterns

Cited by 13 publications

References 23 publications

Task complexity and maximal isometric strength gains through motor learning

Task complexity and maximal isometric strength gains through motor learning

Decreases in motor unit firing rate during sustained maximal-effort contractions in young and older adults

Muscular fatigue patterning in power grip assessment

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