Within-train neuromuscular propagation varies with torque in paralyzed human muscle

Ya Ju Chang, Richard K. Shields*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

22 Scopus citations

Abstract

Electromyographic (EMG) recordings may serve an important role in predicting torque during repetitive activation of paralyzed muscle. We compared the initial M-wave to the subsequent M-waves of the same train under fatigued and recovered conditions in the paralyzed human soleus muscle. Sixteen individuals with chronic (n = 13) or acute paralysis (n = 3) had the tibial nerve activated before and after a repetitive supramaximal stimulation protocol. The mean within-train M-wave amplitude and median frequency increased ∼20%, whereas the duration decreased ∼15% compared with the initial M-wave of each train. During fatigue, there was a linear decrease in the difference between the initial M-wave amplitude and subsequent train (∼20% to 8%). Following fatigue, this difference recovered to ∼12%. The difference between the M-wave train average and the initial M-wave for amplitude, duration, and median frequency closely followed torque (Pearson correlations = 0.99, 0.94, and 0.98, respectively) during fatigue. We conclude that the difference between the later-occurring M-waves (average of the train) and initial M-wave is large when muscle torque is high and less when torque is low and, therefore, predicts torque during activation of paralyzed muscle. This difference in the within-train M-wave amplitude, duration, and median frequency may reflect a mechanical change, such as muscle shortening and increased muscle cross-sectional area during isometric contractions. Electromyographic feedback may assist in the optimization of neuromuscular electrical stimulation of paralyzed muscle.

Original languageEnglish
Pages (from-to)673-680
Number of pages8
JournalMuscle and Nerve
Volume26
Issue number5
DOIs
StatePublished - 01 11 2002

Keywords

  • Electromyography (EMG)
  • Excitation-contraction coupling
  • Low-frequency fatigue
  • Plasticity

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