Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
THE ASSESSMENT OF NEURAL FACTORS IN MUSCLE FATIGUE Roger M. Enoka Department of Integrative Physiology University of Colorado, Boulder, USA [email protected] INTRODUCTION Muscle fatigue is defined as an exercise-induced decrease in the maximum force capacity of muscle (Gandevia, 2001). This transient reduction in strength differs from the weakness and tiredness experienced by patients. THE CLASSIC APPROACH The typical strategy to identify the cause of muscle fatigue has been to distinguish between neural and muscular mechanisms. This can be done, for example, by comparing the decline in muscle force during a voluntary contraction with that evoked by electrical stimulation (Bigland-Ritchie et al 1986). When the reduction in voluntary force exceeds that for the evoked force, the muscle fatigue includes a contribution from neural mechanisms. Such interventions have demonstrated that neural mechanisms are impaired in many fatiguing contractions (Gandevia, 2001). To identify the adjustments that occur in the nervous system during fatiguing contractions, studies have examined the roles of afferent feedback, descending inputs, and spinal circuitry in modifying the output of the motor neurons. The central effects of sustained contractions are diverse. For example, the metabolites that accumulate in muscle during a prolonged contraction excite afferent fibers that both enhance the central drive to maintain muscle perfusion and reduce the discharge of the motor neurons. ceived exertion, and the transient recruitment of motor units all increased more rapidly during the position task (Hunter et al 2002). These results were interpreted as indicating that the motor neurons in the spinal cord received greater amounts of excitatory and inhibitory input during the position task. To examine this possibility, we have addressed two questions: (1) Do interventions that influence motor unit activity also alter the time to task failure? (2) Does the behaviour of single motor units differ for the two tasks? For the first question, we have examined the effect of practice on performance of the two tasks (Hunter & Enoka, 2001, 2003). With practice of the force task, some subjects increased the time to task failure (responders), whereas other subjects did not (non-responders). The improvement in performance for the responders was accompanied by a decrease in the rate of rise in the average EMG, a delay in the transient recruitment of motor units, and a reduced rate of increase in the force fluctuations. Practice, however, did not alter the time to task failure for the position task (Hunter et al 2003). One consequence of these studies has been the failure to identify a single fatigue factor. Rather, the decline in force capacity during a fatiguing contraction usually involves multiple mechanisms, which depend on the type and intensity of exercise, the muscle groups involved, and the physical environment in which the task is performed. For the second question, we measured the discharge rate of the same motor units in biceps brachii as subjects performed the two tasks for brief durations (MacGillis et al 2003): 59 ± 4 s for high-threshold motor units and 222 ± 66 s for lowthreshold motor units. The initial discharge rate was ~ 14 Hz in both tasks and declined to 12.5 ± 2.7 Hz for the force task and 10.9 ± 2.6 Hz for the position task. Furthermore, the coefficient of variation for discharge rate began at about 19% for both tasks and increased to 20.6 ± 9.1% at the end of the force task and 24.7 ± 13.7% at the end of the position task. Thus, motor unit discharge differed for the two tasks, as did the fluctuations in motor output, mean arterial pressure, heart rate, and ratings of perceived exertion. A DIFFERENT QUESTION SUMMARY Instead of attempting to determine the cause of muscle fatigue, we have focused on identifying the factors that cause task failure. The task was to support a load (15-20% of maximum) with the elbow flexor muscles for as long as possible. In a randomized order on separate days, subjects performed two isometric contractions: (1) Force task – exerted a force against a resistance with an infinite spring stiffness; (2) Position task – maintained a constant elbow angle while supporting an inertial load that was equal to the force exerted during the force task. The net muscle torque for each subject was identical for the two tasks. The mechanisms that contribute to muscle fatigue depend on the task that is performed. Relatively subtle changes in the task, such as the type of load supported, have a major effect on the involved mechanisms during a fatiguing contraction. The time to task failure was 1402 ± 728 s (mean ± SD) for the force task and 702 ± 582 s for the position task (Hunter & Enoka, 2002). Despite the difference in duration for the two tasks, the average EMG for the elbow flexor muscles increased at a similar rate for the force and position tasks. Nonetheless, the increase in the fluctuations in force and acceleration, the mean arterial pressure, the rating of per- REFERENCES Bigland-Ritchie B, et al. (1986) J Appl Physiol 61, 421-429. Gandevia SC. (2001) Physiol Reviews 81, 1725-1772. Hunter SK, Enoka RM. (2001) J Appl Physiol 91, 26862694. Hunter SK, Enoka RM. (2003) J Appl Physiol 94, 108-118. Hunter SK, et al. (2002) J Neurophysiol 88, 3087-3096. Hunter SK, et al. (2003) J Appl Physiol 94, 2438-2447. MacGillis CJ, et al. (2003) Med Sci Sports Exerc 35, S000. ACKNOWLEDGEMENTS Supported by the National Institute of Neurological Disorders and Stroke (NS 43275).