Literature DB >> 33403432

Grasping performance depends upon the richness of hand feedback.

Prajith Sivakumar1,2, Derek J Quinlan2,3,4, Kevin M Stubbs2,3,5, Jody C Culham6,7.   

Abstract

Although visual feedback of the hand allows fast and accurate grasping actions, little is known about whether the nature of feedback of the hand affects performance. We investigated kinematics during precision grasping (with the index finger and thumb) when participants received different levels of hand feedback, with or without visual feedback of the target. Specifically, we compared performance when participants saw (1) no hand feedback; (2) only the two critical points on the index finger and thumb tips; (3) 21 points on all digit tips and hand joints; (4) 21 points connected by a "skeleton", or (5) full feedback of the hand wearing a glove. When less hand feedback was available, participants took longer to execute the movement because they allowed more time to slow the reach and close the hand. When target feedback was unavailable, participants took longer to plan the movement and reached with higher velocity. We were particularly interested in investigating maximum grip aperture (MGA), which can reflect the margin of error that participants allow to compensate for uncertainty. A trend suggested that MGA was smallest when ample feedback was available (skeleton and full hand feedback, regardless of target feedback) and when only essential information about hand and target was provided (2-point hand feedback + target feedback) but increased when non-essential points were included (21-point feedback). These results suggest that visual feedback of the hand affects grasping performance and that, while more feedback is usually beneficial, this is not necessarily always the case.

Entities:  

Keywords:  Feedback; Grasping; Hand; Vision

Mesh:

Year:  2021        PMID: 33403432     DOI: 10.1007/s00221-020-06025-0

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


  40 in total

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Journal:  J Neurophysiol       Date:  2011-11-30       Impact factor: 2.714

Review 4.  The balance of rigor and reality in developmental neuroscience.

Authors:  Jessica F Cantlon
Journal:  Neuroimage       Date:  2019-12-24       Impact factor: 6.556

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Journal:  J Neurosci       Date:  1996-06-01       Impact factor: 6.167

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Journal:  Psychol Res       Date:  2016-10-13

7.  Dissociable neural responses to hands and non-hand body parts in human left extrastriate visual cortex.

Authors:  Stefania Bracci; Magdalena Ietswaart; Marius V Peelen; Cristiana Cavina-Pratesi
Journal:  J Neurophysiol       Date:  2010-04-14       Impact factor: 2.714

8.  Extrastriate body area in human occipital cortex responds to the performance of motor actions.

Authors:  Serguei V Astafiev; Christine M Stanley; Gordon L Shulman; Maurizio Corbetta
Journal:  Nat Neurosci       Date:  2004-04-25       Impact factor: 24.884

9.  A virtual reality-based system integrated with fmri to study neural mechanisms of action observation-execution: a proof of concept study.

Authors:  S V Adamovich; K August; A Merians; E Tunik
Journal:  Restor Neurol Neurosci       Date:  2009       Impact factor: 2.406

10.  Virtual Hand Feedback Reduces Reaction Time in an Interactive Finger Reaching Task.

Authors:  Johannes Brand; Marco Piccirelli; Marie-Claude Hepp-Reymond; Manfred Morari; Lars Michels; Kynan Eng
Journal:  PLoS One       Date:  2016-05-04       Impact factor: 3.240

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