MUSCLE FATIGUE IN McARDLE'S DISEASE

Linssen, W.H.J.P.; Jacobs, M.C.; Stegeman, Dick F.; Joosten, E.M.G.; Moleman, J.

doi:10.1093/brain/113.6.1779

Cited by 55 publications

(11 citation statements)

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“…For the ankle dorsiflexors, Kent-Braun (1999) reported that about 80% of the loss of voluntary force during a 4-min sustained contraction could be attributed to peripheral factors. Assuming that the changes in MFCV reflect the metabolic situation of the muscle (De Luca 1984;Linssen et al 1990;Brody et al 1991;Masuda et al 1999), it is evident from our data that this strongly worsens in the first part of the exercise. In the last part of the contraction no further changes of the intra-muscular situation occurs.…”

Section: Peripheral Fatiguementioning

confidence: 55%

“…Zwarts and Arendt-Nielsen (1988) showed that muscle fibre conduction velocity (MFCV) decreased during maximal effort, which contributes to this decline of power frequency (Stegeman and Linssen 1992). The decline of MFCV reflects the accumulation of metabolic byproducts (De Luca 1984;Linssen et al 1990;Brody et al 1991;Masuda et al 1999) and thus can be used as a measure of peripheral fatigue. Thomas et al (1989) showed that changes in M-wave parameters were not sufficient to detect peripheral fatigue.…”

Section: Introductionmentioning

confidence: 99%

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Relative contributions of central and peripheral factors to fatigue during a maximal sustained effort

Schillings

Hoefsloot

Stegeman

et al. 2003

European Journal of Applied Physiology

104

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Local muscle fatigue can originate from both peripheral and central factors. The relative contribution of these factors in the course of a fatiguing contraction in 20 healthy subjects was determined. While subjects made a 2-min sustained maximal voluntary contraction (MVC) of the biceps brachii, muscle fibre conduction velocity (MFCV) was determined with surface electromyography (SEMG) as a representation of developing peripheral fatigue. To quantify the amount of peripheral fatigue, the force development following a train of electrical stimuli on the endplate before and after the contraction were compared. To measure force loss caused by central factors, superimposed electrical stimulation was used during the contraction. By two different methods the influence of peripheral fatigue on the superimposed force responses was taken into account. The first method compared the force response with the actual voluntary force, the second -which seemed more valid - used an estimation of peripheral fatigue based on linear interpolation between the force responses during rest before and after sustained contraction. During the contraction, voluntary force decreased to 38%. Peripheral fatigue was responsible for the larger part of this decline (89%). The other part, which was calculated as 12%, was caused by an increase of central activation failure. The decline of MFCV indicated that peripheral fatigue increased predominantly during the first half of the contraction and stayed at a constant level during the latter part. In contrast, central fatigue mainly induced a force decrease in the second part of the contraction. The different mechanisms which could be responsible for this change of emphasis from peripheral to central factors are discussed.

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Section: Peripheral Fatiguementioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Relative contributions of central and peripheral factors to fatigue during a maximal sustained effort

Schillings

Hoefsloot

Stegeman

et al. 2003

European Journal of Applied Physiology

104

View full text Add to dashboard Cite

show abstract

“…However, the decrease in MFCV has been favoured in the models (LindstroÈ m et al 1970) which, it has been suggested, is attributable to the accumulation of potassium, lactate or protons (H + ) (Tesch et al 1983). The roles of H + or lactate and a decrease in MFCV as possible mechanisms behind the shift in MNF or MDF have been questioned in several studies (Mills and Edwards 1984;Linssen et al 1990;BeÂ liveau et al 1991BeÂ liveau et al , 1992. Moreover, the proportion of ®bre types appears to in¯uence the spectral shift (Tesch et al 1983;Komi 1985, 1986).…”

Section: Mnfmentioning

confidence: 99%

The influences of muscle fibre proportions and areas upon EMG during maximal dynamic knee extensions

Gerdle¹,

Karlsson²,

Crenshaw

et al. 2000

Eur J Appl Physiol

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This study is an investigation of the relationship between muscle morphology and surface electromyographic (EMG) parameters [mean frequency of the power spectrum (MNF), signal amplitude (root mean square, RMS) and the signal amplitude ratio (SAR; i.e. the ratio between the RMS level during the passive part of the contraction cycle and the RMS level during the active part of the contraction cycle)] during 100 maximal dynamic knee extensions at 90 degrees. s(-1). Each contraction cycle comprised of 1 s of active knee extension and 1 s of passive knee flexion. The surface EMG was recorded from the vastus lateralis muscle. Twenty clinically healthy subjects participated in the study, and muscle biopsy samples of the vastus lateralis were obtained from 19 of those subjects. The relationships between muscle morphology and EMG were investigated at three stages of the test: initially, during the fatigue phase (initial 40 contractions), and at the endurance level (the final 50 contractions). Major findings on correlations are that SAR and MNF tended to correlate positively with the proportion of type 1 fibres, and RMS correlated positively with the proportion of type 2 muscle fibres. The muscle fibre areas showed little correlation with the EMG variables under investigation. The results of the present study showed that the three EMG variables of a dynamic endurance test that were investigated (RMS, MNF and SAR) were clearly correlated with the proportions of the different fibre types, but only to a small extent with fibre areas. These findings contradict some of the theoretical models of the EMG, especially for parameters in the frequency domain.

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“…The decrease of MFCV has mostly been favoured as the major cause (LindstroÈ m 1970) but this cause has recently been questioned (Mills and Edwards 1984;Linssen et al 1990Linssen et al , 1991a. Moreover, the assumed roles of potassium, lactate or H + as responsible for the decrease in MFCV (Tesch et al 1983;Horita and Ishiko 1987) have also been under debate (Mills and Edwards 1984;Linssen et al 1990;BeÂ liveau et al 1991BeÂ liveau et al , 1992Vestergaard-Poulsen et al 1994).…”

Section: Major ®Ndingsmentioning

confidence: 99%

Worsening of neck and shoulder complaints in humans are correlated with frequency parameters of electromyogram recorded 1-year earlier

Lundblad

Elert

Gerdle

1998

European Journal of Applied Physiology

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The aim was to investigate whether output and electromyogram (EMG) variables obtained from an isokinetic endurance test of the shoulder flexor muscles of 23 women with neck and shoulder problems in a car and truck industry correlated with improvement or worsening of complaints 1 year later. Each subject performed 100 maximal isokinetic shoulder forward flexions at 60 degrees x s(-1). Surface EMG of the trapezius, deltoid, biceps brachii and infraspinatus muscles and mechanical output (peak torque) were determined for each contraction. The EMG was used to determine mean frequency fmean and the ratio between the signal amplitudes of the EMG of the passive relaxation and active flexion parts of each contraction cycle (SAR). The subjects also rated the degree of fatigue they experienced throughout the test. The magnitude of the shift in fmean was correlated with whether improvement or worsening occurred for complaints in the neck and or shoulders; a significant relationship (r2 = 0.44; P = 0.001) existed between the total frequency shift of the four muscles and the variables measuring improvement in complaints. In the multivariate predictions other fmean variables and perception of fatigue were also of significance. The present study would indicate that a high degree of fmean shift correlates with improvement in neck and shoulder complaints 1 year later. One possible reason could be that fmean reflects the muscle morphology and/or a pathological situation for the type-1 muscle fibres.

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MUSCLE FATIGUE IN McARDLE'S DISEASE

Cited by 55 publications

References 0 publications

Relative contributions of central and peripheral factors to fatigue during a maximal sustained effort

Relative contributions of central and peripheral factors to fatigue during a maximal sustained effort

The influences of muscle fibre proportions and areas upon EMG during maximal dynamic knee extensions

Worsening of neck and shoulder complaints in humans are correlated with frequency parameters of electromyogram recorded 1-year earlier

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