Literature DB >> 15659526

Interaction of visual and proprioceptive feedback during adaptation of human reaching movements.

Robert A Scheidt1, Michael A Conditt, Emanuele L Secco, Ferdinando A Mussa-Ivaldi.   

Abstract

People tend to make straight and smooth hand movements when reaching for an object. These trajectory features are resistant to perturbation, and both proprioceptive as well as visual feedback may guide the adaptive updating of motor commands enforcing this regularity. How is information from the two senses combined to generate a coherent internal representation of how the arm moves? Here we show that eliminating visual feedback of hand-path deviations from the straight-line reach (constraining visual feedback of motion within a virtual, "visual channel") prevents compensation of initial direction errors induced by perturbations. Because adaptive reduction in direction errors occurred with proprioception alone, proprioceptive and visual information are not combined in this reaching task using a fixed, linear weighting scheme as reported for static tasks not requiring arm motion. A computer model can explain these findings, assuming that proprioceptive estimates of initial limb posture are used to select motor commands for a desired reach and visual feedback of hand-path errors brings proprioceptive estimates into registration with a visuocentric representation of limb position relative to its target. Simulations demonstrate that initial configuration estimation errors lead to movement direction errors as observed experimentally. Registration improves movement accuracy when veridical visual feedback is provided but is not invoked when hand-path errors are eliminated. However, the visual channel did not exclude adjustment of terminal movement features maximizing hand-path smoothness. Thus visual and proprioceptive feedback may be combined in fundamentally different ways during trajectory control and final position regulation of reaching movements.

Entities:  

Mesh:

Year:  2005        PMID: 15659526     DOI: 10.1152/jn.00947.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  77 in total

1.  Visual, motor and attentional influences on proprioceptive contributions to perception of hand path rectilinearity during reaching.

Authors:  Robert A Scheidt; Kyle P Lillis; Scott J Emerson
Journal:  Exp Brain Res       Date:  2010-06-08       Impact factor: 1.972

2.  Integration of target and hand position signals in the posterior parietal cortex: effects of workspace and hand vision.

Authors:  Christopher A Buneo; Richard A Andersen
Journal:  J Neurophysiol       Date:  2012-03-28       Impact factor: 2.714

3.  Substituting auditory for visual feedback to adapt to altered dynamic and kinematic environments during reaching.

Authors:  Fabio Oscari; Riccardo Secoli; Federico Avanzini; Giulio Rosati; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2012-06-26       Impact factor: 1.972

4.  Neural representation during visually guided reaching in macaque posterior parietal cortex.

Authors:  Barbara Heider; Anushree Karnik; Nirmala Ramalingam; Ralph M Siegel
Journal:  J Neurophysiol       Date:  2010-09-15       Impact factor: 2.714

5.  Hand-assisted laparoscopic surgery is associated with enhanced depth perception in novices.

Authors:  S Manasnayakorn; A Cuschieri; G B Hanna
Journal:  Surg Endosc       Date:  2010-04-16       Impact factor: 4.584

6.  Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation.

Authors:  Xiaolin Liu; Kristine M Mosier; Ferdinando A Mussa-Ivaldi; Maura Casadio; Robert A Scheidt
Journal:  J Neurophysiol       Date:  2010-10-27       Impact factor: 2.714

7.  Sensitivity to prediction error in reach adaptation.

Authors:  Mollie K Marko; Adrian M Haith; Michelle D Harran; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2012-07-05       Impact factor: 2.714

8.  To transfer or not to transfer? Kinematics and laterality quotient predict interlimb transfer of motor learning.

Authors:  Hannah Z Lefumat; Jean-Louis Vercher; R Chris Miall; Jonathan Cole; Frank Buloup; Lionel Bringoux; Christophe Bourdin; Fabrice R Sarlegna
Journal:  J Neurophysiol       Date:  2015-09-02       Impact factor: 2.714

9.  Seeing the Errors You Feel Enhances Locomotor Performance but Not Learning.

Authors:  Ryan T Roemmich; Andrew W Long; Amy J Bastian
Journal:  Curr Biol       Date:  2016-09-22       Impact factor: 10.834

10.  The weight of representing the body: addressing the potentially indefinite number of body representations in healthy individuals.

Authors:  Marjolein P M Kammers; Joris Mulder; Frédérique de Vignemont; H Chris Dijkerman
Journal:  Exp Brain Res       Date:  2009-09-22       Impact factor: 1.972

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