Literature DB >> 15169866

Task requirements influence sensory integration during grasping in humans.

Daniel Säfström1, Benoni B Edin.   

Abstract

The sensorimotor transformations necessary for generating appropriate motor commands depend on both current and previously acquired sensory information. To investigate the relative impact (or weighting) of visual and haptic information about object size during grasping movements, we let normal subjects perform a task in which, unbeknownst to the subjects, the object seen (visual object) and the object grasped (haptic object) were never the same physically. When the haptic object abruptly became larger or smaller than the visual object, subjects in the following trials automatically adapted their maximum grip aperture when reaching for the object. This adaptation was not dependent on conscious processes. We analyzed how visual and haptic information were weighted during the course of sensorimotor adaptation. The adaptation process was quicker and relied more on haptic information when the haptic objects increased in size than when they decreased in size. As such, sensory weighting seemed to be molded to avoid prehension error. We conclude from these results that the impact of a specific source of sensory information on the sensorimotor transformation is regulated to satisfy task requirements.

Entities:  

Mesh:

Year:  2004        PMID: 15169866      PMCID: PMC419739          DOI: 10.1101/lm.71804

Source DB:  PubMed          Journal:  Learn Mem        ISSN: 1072-0502            Impact factor:   2.460


  26 in total

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Authors:  J Randall Flanagan; Roland S Johansson
Journal:  Nature       Date:  2003-08-14       Impact factor: 49.962

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Authors:  A M Wing; A Turton; C Fraser
Journal:  J Mot Behav       Date:  1986-09       Impact factor: 1.328

6.  Links between vision and somatosensation. Vision can improve the felt position of the unseen hand.

Authors:  R Newport; J V Hindle; S R Jackson
Journal:  Curr Biol       Date:  2001-06-26       Impact factor: 10.834

7.  Factors affecting higher-order movement planning: a kinematic analysis of human prehension.

Authors:  L S Jakobson; M A Goodale
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

8.  REMAC: a video-based motion analyser interfacing to an existing flexible sampling system.

Authors:  G Sandström; A Bäckström; K A Olsson
Journal:  J Neurosci Methods       Date:  1996-11       Impact factor: 2.390

9.  Visual and somatosensory information about object shape control manipulative fingertip forces.

Authors:  P Jenmalm; R S Johansson
Journal:  J Neurosci       Date:  1997-06-01       Impact factor: 6.167

10.  Size-contrast illusions deceive the eye but not the hand.

Authors:  S Aglioti; J F DeSouza; M A Goodale
Journal:  Curr Biol       Date:  1995-06-01       Impact factor: 10.834

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  13 in total

1.  Short-term plasticity of the visuomotor map during grasping movements in humans.

Authors:  Daniel Säfström; Benoni B Edin
Journal:  Learn Mem       Date:  2005 Jan-Feb       Impact factor: 2.460

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Authors:  Daniel Säfström; Benoni B Edin
Journal:  Exp Brain Res       Date:  2006-02-28       Impact factor: 1.972

3.  Representation of object size in the somatosensory system.

Authors:  L J Berryman; J M Yau; S S Hsiao
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4.  Adaptation of grasping responses to distorted object size and orientation.

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Journal:  Exp Brain Res       Date:  2007-03-01       Impact factor: 1.972

5.  Adaptation of the precision grip orientation to a visual-haptic mismatch.

Authors:  Cornelia Weigelt; Otmar Bock
Journal:  Exp Brain Res       Date:  2009-12-11       Impact factor: 1.972

6.  Collision error avoidance: influence of proportion congruency and sensorimotor memory on open-loop grasp control.

Authors:  Ryan Brydges; Adam Dubrowski
Journal:  Exp Brain Res       Date:  2009-08-01       Impact factor: 1.972

7.  Prediction of object contact during grasping.

Authors:  Daniel Säfström; Benoni B Edin
Journal:  Exp Brain Res       Date:  2008-07-01       Impact factor: 1.972

8.  Nonvisual learning of intrinsic object properties in a reaching task dissociates grasp from reach.

Authors:  Jenni M Karl; Leandra R Schneider; Ian Q Whishaw
Journal:  Exp Brain Res       Date:  2013-01-04       Impact factor: 1.972

9.  Non-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise.

Authors:  Herman van der Kooij; Robert J Peterka
Journal:  J Comput Neurosci       Date:  2010-12-15       Impact factor: 1.621

10.  Visual feedback is not necessary for the learning of novel dynamics.

Authors:  David W Franklin; Udell So; Etienne Burdet; Mitsuo Kawato
Journal:  PLoS One       Date:  2007-12-19       Impact factor: 3.240

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