Literature DB >> 1922790

Reconstruction of shifting elbow joint compliant characteristics during fast and slow movements.

M L Latash1, G L Gottlieb.   

Abstract

The purpose of this study was to experimentally investigate the applicability of the equilibrium-point hypothesis to the dynamics of single-joint movements. Subjects were trained to perform relatively slow (movement time 600-1000 ms) or fast (movement time 200-300 ms) single-joint elbow flexion movements against a constant extending torque bias. They were instructed to reproduce the same time pattern of central motor command for a series of movements when the external torque could slowly and unpredictably increase, decrease, or remain constant. For fast movements, the total muscle torque was calculated as a sum of external and inertial components. Analysis of the data allowed reconstruction of the elbow joint compliant characteristics at different times during execution of the learned motor command. "Virtual" trajectories of the movements, representing time-varying changes in a central control parameter, were reconstructed and compared with the "actual" trajectories. For slow movements, the actual trajectories lagged behind the virtual ones. There were no consistent changes in the joint stiffness during slow movements. Similar analysis of experiments without voluntary movements demonstrated a lack of changes in the central parameters, supporting the assumption that the subjects were able to keep the same central motor command in spite of externally imposed unexpected torque perturbations. For the fast movements, the virtual trajectories were N-shaped, and the joint stiffness demonstrated a considerable increase near the middle of the movement. These findings contradict an hypothesis of monotonic joint compliant characteristic translation at a nearly constant rate during such movements.

Entities:  

Mesh:

Year:  1991        PMID: 1922790     DOI: 10.1016/0306-4522(91)90328-l

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  38 in total

1.  Modulation of elbow joint stiffness in a vertical plane during cyclic movement at lower or higher frequencies than natural frequency.

Authors:  Masaki O Abe; Norimasa Yamada
Journal:  Exp Brain Res       Date:  2003-09-25       Impact factor: 1.972

2.  Independent control of joint stiffness in the framework of the equilibrium-point hypothesis.

Authors:  M L Latash
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

3.  Absence of equifinality of hand position in a double-step unloading task.

Authors:  Nahid Norouzi-Gheidari; Philippe Archambault
Journal:  Exp Brain Res       Date:  2010-07-10       Impact factor: 1.972

4.  Unintentional movements produced by back-coupling between the actual and referent body configurations: violations of equifinality in multi-joint positional tasks.

Authors:  Tao Zhou; Stanislaw Solnik; Yen-Hsun Wu; Mark L Latash
Journal:  Exp Brain Res       Date:  2014-08-24       Impact factor: 1.972

5.  Testing hypotheses and the advancement of science: recent attempts to falsify the equilibrium point hypothesis.

Authors:  Anatol G Feldman; Mark L Latash
Journal:  Exp Brain Res       Date:  2004-10-15       Impact factor: 1.972

6.  Velocity-based planning of rapid elbow movements expands the control scheme of the equilibrium point hypothesis.

Authors:  Masataka Suzuki; Yoshihiko Yamazaki
Journal:  J Comput Neurosci       Date:  2005 Mar-Apr       Impact factor: 1.621

7.  Reciprocal and coactivation commands for fast wrist movements.

Authors:  M F Levin; A G Feldman; T E Milner; Y Lamarre
Journal:  Exp Brain Res       Date:  1992       Impact factor: 1.972

8.  Muscle synergies during voluntary body sway: combining across-trials and within-a-trial analyses.

Authors:  Yun Wang; Tadayoshi Asaka; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2006-05-19       Impact factor: 1.972

9.  Relativistic effects in single-joint voluntary movements.

Authors:  M L Latash; S R Gutman; G L Gottlieb
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

10.  System identification of physiological systems using short data segments.

Authors:  Daniel Ludvig; Eric J Perreault
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-28       Impact factor: 4.538

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