Recruitment of muscle synergies is associated with endpoint force fluctuations during multi-directional isometric contractions

• Published in: Experimental brain research Vol. 233; no. 6; pp. 1811 - 1823
• Main Authors: Hagio, Shota, Kouzaki, Motoki
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2015; Springer; Springer Nature B.V
• Subjects: Adult; Ankle; Ankle - innervation; Biomechanical Phenomena; Biomedical and Life Sciences; Biomedicine; Electromyography; Environmental studies; Human mechanics; Humans; Isometric Contraction - physiology; Male; Movement - physiology; Muscle contraction; Muscle, Skeletal - physiology; Nervous system; Neurological research; Neurology; Neurophysiology; Neurosciences; Research Article; Statistics as Topic; Time Factors; Young Adult; Japan; Degree of freedom; Electromyogram; Force variability; Nonnegative matrix factorization; Motor control
• ISSN: 0014-4819; 1432-1106; 1432-1106
• DOI: 10.1007/s00221-015-4253-5

It has long been assumed that the human central nervous system uses flexible combinations of several muscle synergies to effortlessly and efficiently control redundant movements. However, whether muscle synergies exist in the neural circuit remains controversial, and it is critical to examine the association between the recruitment pattern of synergies and motor output. In this study, we examined the relationship between the activation of muscle synergies and endpoint force fluctuations in the presence of signal-dependent noise. Subjects performed multi-directional isometric force generations around the right ankle on the sagittal plane. We then extracted muscle synergies from measured electromyogram (EMG) data using nonnegative matrix factorization. As a result, the sum of the activation of muscle synergies was correlated with the endpoint force variability from the desired directions. Furthermore, we determined that the activation trace of each synergy reflected the endpoint force fluctuations using cross-correlation analysis. Therefore, these results suggest that muscle synergies statistically calculated from EMG data should be related to the motor output.