Literature DB >> 15856204

Novel strategies in feedforward adaptation to a position-dependent perturbation.

Mark R Hinder1, Theodore E Milner.   

Abstract

To investigate the control mechanisms used in adapting to position-dependent forces, subjects performed 150 horizontal reaching movements over 25 cm in the presence of a position-dependent parabolic force field (PF). The PF acted only over the first 10 cm of the movement. On every fifth trial, a virtual mechanical guide (double wall) constrained subjects to move along a straight-line path between the start and target positions. Its purpose was to register lateral force to track formation of an internal model of the force field, and to look for evidence of possible alternative adaptive strategies. The force field produced a force to the right, which initially caused subjects to deviate in that direction. They reacted by producing deviations to the left, "into" the force field, as early as the second trial. Further adaptation resulted in rapid exponential reduction of kinematic error in the latter portion of the movement, where the greatest perturbation to the handpath was initially observed, whereas there was little modification of the handpath in the region where the PF was active. Significant force directed to counteract the PF was measured on the first guided trial, and was modified during the first half of the learning set. The total force impulse in the region of the PF increased throughout the learning trials, but it always remained less than that produced by the PF. The force profile did not resemble a mirror image of the PF in that it tended to be more trapezoidal than parabolic in shape. As in previous studies of force-field adaptation, we found that changes in muscle activation involved a general increase in the activity of all muscles, which increased arm stiffness, and selectively-greater increases in the activation of muscles which counteracted the PF. With training, activation was exponentially reduced, albeit more slowly than kinematic error. Progressive changes in kinematics and EMG occurred predominantly in the region of the workspace beyond the force field. We suggest that constraints on muscle mechanics limit the ability of the central nervous system to employ an inverse dynamics model to nullify impulse-like forces by generating mirror-image forces. Consequently, subjects adopted a strategy of slightly overcompensating for the first half of the force field, then allowing the force field to push them in the opposite direction. Muscle activity patterns in the region beyond the boundary of the force field were subsequently adjusted because of the relatively-slow response of the second-order mechanics of muscle impedance to the force impulse.

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Year:  2005        PMID: 15856204     DOI: 10.1007/s00221-005-2294-x

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  21 in total

1.  Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals.

Authors:  R Osu; H Gomi
Journal:  J Neurophysiol       Date:  1999-04       Impact factor: 2.714

2.  Learning of action through adaptive combination of motor primitives.

Authors:  K A Thoroughman; R Shadmehr
Journal:  Nature       Date:  2000-10-12       Impact factor: 49.962

3.  Impedance control and internal model formation when reaching in a randomly varying dynamical environment.

Authors:  C D Takahashi; R A Scheidt; D J Reinkensmeyer
Journal:  J Neurophysiol       Date:  2001-08       Impact factor: 2.714

4.  Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics.

Authors:  David W Franklin; Etienne Burdet; Rieko Osu; Mitsuo Kawato; Theodore E Milner
Journal:  Exp Brain Res       Date:  2003-05-29       Impact factor: 1.972

5.  Influence of interaction force levels on degree of motor adaptation in a stable dynamic force field.

Authors:  E J Lai; A J Hodgson; T E Milner
Journal:  Exp Brain Res       Date:  2003-08-29       Impact factor: 1.972

6.  Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model.

Authors:  David W Franklin; Rieko Osu; Etienne Burdet; Mitsuo Kawato; Theodore E Milner
Journal:  J Neurophysiol       Date:  2003-11       Impact factor: 2.714

7.  The role of internal models in motion planning and control: evidence from grip force adjustments during movements of hand-held loads.

Authors:  J R Flanagan; A M Wing
Journal:  J Neurosci       Date:  1997-02-15       Impact factor: 6.167

8.  The central nervous system stabilizes unstable dynamics by learning optimal impedance.

Authors:  E Burdet; R Osu; D W Franklin; T E Milner; M Kawato
Journal:  Nature       Date:  2001-11-22       Impact factor: 49.962

9.  Human arm stiffness and equilibrium-point trajectory during multi-joint movement.

Authors:  H Gomi; M Kawato
Journal:  Biol Cybern       Date:  1997-03       Impact factor: 2.086

10.  Different mechanisms involved in adaptation to stable and unstable dynamics.

Authors:  Rieko Osu; Etienne Burdet; David W Franklin; Theodore E Milner; Mitsuo Kawato
Journal:  J Neurophysiol       Date:  2003-11       Impact factor: 2.714

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  3 in total

1.  Effects of walking in a force field for varying durations on aftereffects and on next day performance.

Authors:  Karine Fortin; Andreanne Blanchette; Bradford J McFadyen; Laurent J Bouyer
Journal:  Exp Brain Res       Date:  2009-08-26       Impact factor: 1.972

2.  Different adaptation rates to abrupt and gradual changes in environmental dynamics.

Authors:  Theodore E Milner; Zeinab Firouzimehr; Saeed Babadi; David J Ostry
Journal:  Exp Brain Res       Date:  2018-08-04       Impact factor: 1.972

3.  Motion state-dependent motor learning based on explicit visual feedback is quickly recalled, but is less stable than adaptation to physical perturbations.

Authors:  Weiwei Zhou; Elizabeth A Kruse; Rylee Brower; Ryan North; Wilsaan M Joiner
Journal:  J Neurophysiol       Date:  2022-08-31       Impact factor: 2.974

  3 in total

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