A limited set of muscle synergies for force control during a postural task.

By Lena H. Ting, J. Macpherson. Journal of Neurophysiology, 2005

703 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/1a0732bec0fb9c66f1346142b49feb7da36aba82

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Citations in the corpus

Neuromechanics of muscle synergies for posture and movement. (2007, background): “,20].”
Muscle synergy patterns as physiological markers of motor cortical damage (2012, methodology): “(9) have previously observed for lower-limb synergies in stroke survivors.”
Cortical control of postural responses (2007, background): “In response to these perturbations, a large group of muscles are quickly activated throughout the body (a postural synergy) to generate forces on support surfaces in contact with the body that counteract the forces imposed by the postural perturbation (Horak and Nashner, 1986; Ting and Macpherson, 2”
Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal (2009, methodology): “ergy has been accumulated from EMG of frogs [10], cats [16], primates [17], and humans [18], by linear decomposition algorithms such as NMF.”
Motor primitives in vertebrates and invertebrates. (2005, background): “Similar attempts have been made to find muscle synergies during human posture and locomotion [13 ,45 ,46].”
Control of Fast-Reaching Movements by Muscle Synergy Combinations (2006, methodology): “, 2003), independent component analysis (McKeown, 2000; Hart and Giszter, 2004), and non-negative matrix factorization (Tresch et al., 1999; Saltiel et al., 2001; Ting and Macpherson, 2005), all of which allow complex spatiotemporal patterns to be expressed as combinations of a limited number of com”
Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. (2015, methodology): “In this growing area of research, muscle activity is decomposed using principal component analysis or related approaches to find groups of muscles that are activated together during movement, modulated by a single scaling parameter [140,141].”
Toward a new theory of motor synergies. (2007, background): “Examples of such co-variations are effects of enslaving among finger forces (Zatsiorsky et al., 2000) and muscle groups with parallel scaling of the muscle activity within a group (Merkle et al., 1998; Ivanenko et al., 2004, 2005; Ting & Macpherson, 2005).”
The neural origin of muscle synergies (2013, background): “Third, it has been shown that the activation of each muscle synergy can accomplish a certain kinematic (d’Avella et al., 2003) or biomechanical (Ting and Macpherson, 2005) goal which may or may not be shared between behaviors.”
Common muscle synergies for balance and walking (2013, methodology): “When comparing two sets of muscle synergies, we calculated correlation coefficients (r) between each muscle synergy vector in the first set and each in the second set.”