Literature DB >> 19830412

Real-time error detection but not error correction drives automatic visuomotor adaptation.

Mark R Hinder1, Stephan Riek, James R Tresilian, Aymar de Rugy, Richard G Carson.   

Abstract

We investigated the role of visual feedback of task performance in visuomotor adaptation. Participants produced novel two degrees of freedom movements (elbow flexion-extension, forearm pronation-supination) to move a cursor towards visual targets. Following trials with no rotation, participants were exposed to a 60 degrees visuomotor rotation, before returning to the non-rotated condition. A colour cue on each trial permitted identification of the rotated/non-rotated contexts. Participants could not see their arm but received continuous and concurrent visual feedback (CF) of a cursor representing limb position or post-trial visual feedback (PF) representing the movement trajectory. Separate groups of participants who received CF were instructed that online modifications of their movements either were, or were not, permissible as a means of improving performance. Feedforward-mediated performance improvements occurred for both CF and PF groups in the rotated environment. Furthermore, for CF participants this adaptation occurred regardless of whether feedback modifications of motor commands were permissible. Upon re-exposure to the non-rotated environment participants in the CF, but not PF, groups exhibited post-training aftereffects, manifested as greater angular deviations from a straight initial trajectory, with respect to the pre-rotation trials. Accordingly, the nature of the performance improvements that occurred was dependent upon the timing of the visual feedback of task performance. Continuous visual feedback of task performance during task execution appears critical in realising automatic visuomotor adaptation through a recalibration of the visuomotor mapping that transforms visual inputs into appropriate motor commands.

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Year:  2009        PMID: 19830412     DOI: 10.1007/s00221-009-2025-9

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


  37 in total

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Review 2.  Internal models for motor control and trajectory planning.

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5.  Determinants of offline processing of visual information for the control of reaching movements.

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6.  The interference effects of non-rotated versus counter-rotated trials in visuomotor adaptation.

Authors:  Mark R Hinder; Laura Walk; Daniel G Woolley; Stephan Riek; Richard G Carson
Journal:  Exp Brain Res       Date:  2007-02-14       Impact factor: 1.972

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

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8.  Sensorimotor adaptation in response to proprioceptive bias.

Authors:  Pierre-Michel Bernier; Romeo Chua; J Timothy Inglis; Ian M Franks
Journal:  Exp Brain Res       Date:  2006-09-07       Impact factor: 1.972

9.  Adaptation to visuomotor transformations: consolidation, interference, and forgetting.

Authors:  John W Krakauer; Claude Ghez; M Felice Ghilardi
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10.  The contribution of visual feedback to visuomotor adaptation: how much and when?

Authors:  Mark R Hinder; James R Tresilian; Stephan Riek; Richard G Carson
Journal:  Brain Res       Date:  2008-01-11       Impact factor: 3.252

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  28 in total

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Journal:  Exp Brain Res       Date:  2010-05-09       Impact factor: 1.972

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Journal:  Exp Brain Res       Date:  2012-01-26       Impact factor: 1.972

4.  Manipulating visual-motor experience to probe for observation-induced after-effects in adaptation learning.

Authors:  Shannon B Lim; Beverley C Larssen; Nicola J Hodges
Journal:  Exp Brain Res       Date:  2013-12-04       Impact factor: 1.972

5.  Reach adaptation to online target error.

Authors:  Brendan D Cameron; Ian M Franks; J Timothy Inglis; Romeo Chua
Journal:  Exp Brain Res       Date:  2011-01-26       Impact factor: 1.972

6.  Two-phase strategy of neural control for planar reaching movements: I. XY coordination variability and its relation to end-point variability.

Authors:  Miya K Rand; Yury P Shimansky
Journal:  Exp Brain Res       Date:  2012-11-30       Impact factor: 1.972

7.  Target size matters: target errors contribute to the generalization of implicit visuomotor learning.

Authors:  Maayan Reichenthal; Guy Avraham; Amir Karniel; Lior Shmuelof
Journal:  J Neurophysiol       Date:  2016-04-27       Impact factor: 2.714

8.  Evidence for distinct brain networks in the control of rule-based motor behavior.

Authors:  Joshua A Granek; Lauren E Sergio
Journal:  J Neurophysiol       Date:  2015-07-01       Impact factor: 2.714

9.  The role of the cross-sensory error signal in visuomotor adaptation.

Authors:  Danielle Salomonczyk; Erin K Cressman; Denise Y P Henriques
Journal:  Exp Brain Res       Date:  2013-05-26       Impact factor: 1.972

10.  Visuomotor coordination and cortical connectivity of modular motor learning.

Authors:  Pablo I Burgos; Juan J Mariman; Scott Makeig; Gonzalo Rivera-Lillo; Pedro E Maldonado
Journal:  Hum Brain Mapp       Date:  2018-05-15       Impact factor: 5.038

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