4.4 Article

Structured Variability of Muscle Activations Supports the Minimal Intervention Principle of Motor Control

Journal

JOURNAL OF NEUROPHYSIOLOGY
Volume 102, Issue 1, Pages 59-68

Publisher

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/jn.90324.2008

Keywords

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Funding

  1. National Science Foundation [0237258]
  2. National Institutes of Health [AR-050520, AR-052345]
  3. NSF [0425878]
  4. [NS-045915]
  5. [NS-058633]
  6. Direct For Biological Sciences [0425878] Funding Source: National Science Foundation
  7. Directorate For Engineering
  8. Div Of Chem, Bioeng, Env, & Transp Sys [0237258] Funding Source: National Science Foundation
  9. Directorate For Engineering
  10. Emerging Frontiers & Multidisciplinary Activities [836042] Funding Source: National Science Foundation
  11. Emerging Frontiers [0425878] Funding Source: National Science Foundation

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Valero-Cuevas FJ, Venkadesan M, Todorov E. Structured variability of muscle activations supports the minimal intervention principle of motor control. J Neurophysiol 102: 59-68, 2009. First published April 15, 2009; doi: 10.1152/jn.90324.2008. Numerous observations of structured motor variability indicate that the sensorimotor system preferentially controls task-relevant parameters while allowing task-irrelevant ones to fluctuate. Optimality models show that controlling a redundant musculo-skeletal system in this manner meets task demands while minimizing control effort. Although this line of inquiry has been very productive, the data are mostly behavioral with no direct physiological evidence on the level of muscle or neural activity. Furthermore, biomechanical coupling, signal-dependent noise, and alternative causes of trial-to-trial variability confound behavioral studies. Here we address those confounds and present evidence that the nervous system preferentially controls task-relevant parameters on the muscle level. We asked subjects to produce vertical fingertip force vectors of prescribed constant or time-varying magnitudes while maintaining a constant finger posture. We recorded intramuscular electromyograms (EMGs) simultaneously from all seven index finger muscles during this task. The experiment design and selective fine-wire muscle recordings allowed us to account for a median of 91% of the variance of fingertip forces given the EMG signals. By analyzing muscle coordination in the seven-dimensional EMG signal space, we find that variance-per-dimension is consistently smaller in the task-relevant subspace than in the task-irrelevant subspace. This first direct physiological evidence on the muscle level for preferential control of task-relevant parameters strongly suggest the use of a neural control strategy compatible with the principle of minimal intervention. Additionally, variance is nonnegligible in all seven dimensions, which is at odds with the view that muscle activation patterns are composed from a small number of synergies.

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