Literature DB >> 9753116

Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control.

N Schweighofer1, M A Arbib, M Kawato.   

Abstract

This study focuses on the role of the motor cortex, the spinal cord and the cerebellum in the dynamics stage of the control of arm movement. Currently, two classes of models have been proposed for the neural control of movements, namely the virtual trajectory control hypothesis and the acquisition of internal models of the motor apparatus hypothesis. In the present study, we expand the virtual trajectory model to whole arm reaching movements. This expanded model accurately reproduced slow movements, but faster reaching movements deviated significantly from the planned trajectories, indicating that for fast movements, this model was not sufficient. These results led us to propose a new distributed functional model consistent with behavioural, anatomical and neurophysiological data, which takes into account arm muscles, spinal cord, motor cortex and cerebellum and is consistent with the view that the central nervous system acquires a distributed inverse dynamics model of the arm. Previous studies indicated that the cerebellum compensates for the interaction forces that arise during reaching movements. We show here how the cerebellum may increase the accuracy of reaching movements by compensating for the interaction torques by learning a portion of an inverse dynamics model that refines a basic inverse model in the motor cortex and spinal cord.

Entities:  

Keywords:  Non-programmatic

Mesh:

Year:  1998        PMID: 9753116     DOI: 10.1046/j.1460-9568.1998.00006.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  43 in total

1.  Sequential control signals determine arm and trunk contributions to hand transport during reaching in humans.

Authors:  Elena Rossi; Arnold Mitnitski; Anatol G Feldman
Journal:  J Physiol       Date:  2002-01-15       Impact factor: 5.182

2.  Diffusion of nitric oxide can facilitate cerebellar learning: A simulation study.

Authors:  N Schweighofer; G Ferriol
Journal:  Proc Natl Acad Sci U S A       Date:  2000-09-12       Impact factor: 11.205

3.  Modelling the control of interceptive actions.

Authors:  P J Beek; J C Dessing; C E Peper; D Bullock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-09-29       Impact factor: 6.237

4.  Dorsal spinocerebellar tract neurons respond to contralateral limb stepping.

Authors:  R E Poppele; A Rankin; J Eian
Journal:  Exp Brain Res       Date:  2003-02-11       Impact factor: 1.972

5.  Kinematics of wrist joint flexion in overarm throws made by skilled subjects.

Authors:  D B Debicki; P L Gribble; S Watts; J Hore
Journal:  Exp Brain Res       Date:  2003-11-04       Impact factor: 1.972

Review 6.  A critical evaluation of the force control hypothesis in motor control.

Authors:  David J Ostry; Anatol G Feldman
Journal:  Exp Brain Res       Date:  2003-09-13       Impact factor: 1.972

7.  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

8.  Threshold control of motor actions prevents destabilizing effects of proprioceptive delays.

Authors:  Jean-François Pilon; Anatol G Feldman
Journal:  Exp Brain Res       Date:  2006-05-05       Impact factor: 1.972

9.  Threshold control of arm posture and movement adaptation to load.

Authors:  Martin Foisy; Anatol G Feldman
Journal:  Exp Brain Res       Date:  2006-07-18       Impact factor: 1.972

Review 10.  The cerebellum, cerebellar disorders, and cerebellar research--two centuries of discoveries.

Authors:  Mario Manto
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

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