Literature DB >> 22773776

The modulatory influence of end-point controllability on decisions between actions.

Ignasi Cos1, Farid Medleg, Paul Cisek.   

Abstract

Recent work has shown that human subjects are able to predict the biomechanical ease of potential reaching movements and use these predictions to influence their choices. Here, we examined how reach decisions are influenced by specific biomechanical factors related to the control of end-point stability, such as aiming accuracy or stopping control. Human subjects made free choices between two potential reaching movements that varied in terms of path distance and biomechanical cost in four separate blocks that additionally varied two constraints: the width of the targets (narrow or wide) and the requirement of stopping in them. When movements were unconstrained (very wide targets and no requirement of stopping), subjects' choices were strongly biased toward directions aligned with the direction of maximal mobility. However, as the movements became progressively constrained, factors related to the control of the end point gained relevance, thus reducing this bias. This demonstrates that, before movement onset, constraints such as stopping and aiming participate in a remarkably adaptive and flexible action selection process that trades off the advantage of moving along directions of maximal mobility for unconstrained movements against exploiting biomechanical anisotropies to facilitate control of end-point stability whenever the movement constraints require it. These results support a view of decision making between motor actions as a highly context-dependent gradual process in which the subjective desirability of potential actions is influenced by their dynamic properties in relation to the intrinsic properties of the motor apparatus.

Entities:  

Mesh:

Year:  2012        PMID: 22773776     DOI: 10.1152/jn.00081.2012

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


  18 in total

1.  Rapid Automatic Motor Encoding of Competing Reach Options.

Authors:  Jason P Gallivan; Brandie M Stewart; Lee A Baugh; Daniel M Wolpert; J Randall Flanagan
Journal:  Cell Rep       Date:  2017-02-14       Impact factor: 9.423

2.  Dorsal premotor cortex: neural correlates of reach target decisions based on a color-location matching rule and conflicting sensory evidence.

Authors:  Émilie Coallier; Thomas Michelet; John F Kalaska
Journal:  J Neurophysiol       Date:  2015-03-18       Impact factor: 2.714

Review 3.  On the challenges and mechanisms of embodied decisions.

Authors:  Paul Cisek; Alexandre Pastor-Bernier
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-11-05       Impact factor: 6.237

4.  The sequential encoding of competing action goals involves dynamic restructuring of motor plans in working memory.

Authors:  Jason P Gallivan; Natasha A R Bowman; Craig S Chapman; Daniel M Wolpert; J Randall Flanagan
Journal:  J Neurophysiol       Date:  2016-03-30       Impact factor: 2.714

5.  Eye-hand coordination during visuomotor adaptation: effects of hemispace and joint coordination.

Authors:  Miya K Rand; Sebastian Rentsch
Journal:  Exp Brain Res       Date:  2017-09-12       Impact factor: 1.972

6.  Reaching decisions during ongoing movements.

Authors:  Julien Michalski; Andrea M Green; Paul Cisek
Journal:  J Neurophysiol       Date:  2020-02-12       Impact factor: 2.714

7.  Motor cost affects the decision of when to shift gaze for guiding movement.

Authors:  F Javier Domínguez-Zamora; Daniel S Marigold
Journal:  J Neurophysiol       Date:  2019-05-29       Impact factor: 2.714

8.  The influence of reducing intermediate target constraints on grasp posture planning during a three-segment object manipulation task.

Authors:  Christian Seegelke; Charmayne M L Hughes; Andreas Knoblauch; Thomas Schack
Journal:  Exp Brain Res       Date:  2014-11-05       Impact factor: 1.972

Review 9.  Decision-making in sensorimotor control.

Authors:  Jason P Gallivan; Craig S Chapman; Daniel M Wolpert; J Randall Flanagan
Journal:  Nat Rev Neurosci       Date:  2018-09       Impact factor: 34.870

Review 10.  The importance of task design and behavioral control for understanding the neural basis of cognitive functions.

Authors:  Christopher R Fetsch
Journal:  Curr Opin Neurobiol       Date:  2016-01-14       Impact factor: 6.627

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.