Literature DB >> 33146065

Perceived effort affects choice of limb and reaction time of movements.

Jing Wang1, Peter S Lum1,2, Reza Shadmehr3, Sang Wook Lee1,2,4.   

Abstract

The decision regarding which arm to use to perform a task reflects a complex process that can be influenced by many factors, including effort requirements of acquiring the goal. In this study, we considered a virtual reality environment in which people reached to a visual target in three-dimensional space. To vary the cost of reaching, we altered the visual feedback associated with motion of one arm but not the other. This altered the extent of motion that was required to reach, thus changing the effort required to acquire the goal. We then measured how that change in effort affected the decision regarding which arm to use, as well as the preparation time for the movement that ensued. As expected, with increased visual amplification of one arm (reduced effort to reach the goal), subjects increased the probability of choosing that arm. Surprisingly, however, the reaction times to start these movements were also reduced: despite constancy of the visual representation of the target, reaction times were shorter for movements with less effort. Thus, as the perceived effort associated with accomplishing a goal was reduced for a given limb, the decision-making process was biased toward use of that limb. Furthermore, movements that were perceived to be less effortful were performed with shorter reaction times. These results suggest that visual amplification can alter the perceived effort associated with using a limb, thus increasing frequency of use. This may provide a useful method to increase use of a limb during rehabilitation.NEW & NOTEWORTHY We report that visual amplification may serve as an effective means to alter the perceived effort associated with use of a limb. This method may provide an effective tool with which use of the affected limb can be encouraged noninvasively after neurological injury.

Entities:  

Keywords:  bimanual choice; decision-making; motor adaptation; movement vigor; reaction time; virtual reality

Mesh:

Year:  2020        PMID: 33146065      PMCID: PMC8087386          DOI: 10.1152/jn.00404.2020

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


  44 in total

1.  Perceptual basis of bimanual coordination.

Authors:  F Mechsner; D Kerzel; G Knoblich; W Prinz
Journal:  Nature       Date:  2001-11-01       Impact factor: 49.962

2.  Evidence for a dynamic-dominance hypothesis of handedness.

Authors:  Robert L Sainburg
Journal:  Exp Brain Res       Date:  2001-11-22       Impact factor: 1.972

3.  Handedness: dominant arm advantages in control of limb dynamics.

Authors:  Leia B Bagesteiro; Robert L Sainburg
Journal:  J Neurophysiol       Date:  2002-11       Impact factor: 2.714

4.  Learned dynamics of reaching movements generalize from dominant to nondominant arm.

Authors:  Sarah E Criscimagna-Hemminger; Opher Donchin; Michael S Gazzaniga; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2003-01       Impact factor: 2.714

5.  Transcranial magnetic stimulation of posterior parietal cortex affects decisions of hand choice.

Authors:  Flavio T P Oliveira; Jörn Diedrichsen; Timothy Verstynen; Julie Duque; Richard B Ivry
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-27       Impact factor: 11.205

6.  Precis of Vigor: Neuroeconomics of movement control.

Authors:  Reza Shadmehr; Alaa A Ahmed
Journal:  Behav Brain Sci       Date:  2020-12-02       Impact factor: 12.579

7.  Control of movement vigor and decision making during foraging.

Authors:  Tehrim Yoon; Robert B Geary; Alaa A Ahmed; Reza Shadmehr
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-15       Impact factor: 11.205

8.  Vigor of reaching movements: reward discounts the cost of effort.

Authors:  Erik M Summerside; Reza Shadmehr; Alaa A Ahmed
Journal:  J Neurophysiol       Date:  2018-03-14       Impact factor: 2.714

9.  Forced use of hemiplegic upper extremities to reverse the effect of learned nonuse among chronic stroke and head-injured patients.

Authors:  S L Wolf; D E Lecraw; L A Barton; B B Jann
Journal:  Exp Neurol       Date:  1989-05       Impact factor: 5.330

10.  Counteracting learned non-use in chronic stroke patients with reinforcement-induced movement therapy.

Authors:  Belén Rubio Ballester; Martina Maier; Rosa María San Segundo Mozo; Victoria Castañeda; Armin Duff; Paul F M J Verschure
Journal:  J Neuroeng Rehabil       Date:  2016-08-09       Impact factor: 4.262

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  1 in total

1.  Effort, success, and side of lesion determine arm choice in individuals with chronic stroke.

Authors:  Sujin Kim; Cheol E Han; Bokkyu Kim; Carolee J Winstein; Nicolas Schweighofer
Journal:  J Neurophysiol       Date:  2021-12-08       Impact factor: 2.714

  1 in total

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