Literature DB >> 21451055

The influence of predicted arm biomechanics on decision making.

Ignasi Cos1, Nicolas Bélanger, Paul Cisek.   

Abstract

There is considerable debate on the extent to which biomechanical properties of movements are taken into account before and during voluntary movements. For example, while several models have described reach planning as primarily kinematic, some studies have suggested that implicit knowledge about biomechanics may also exert some influence on the planning of reaching movements. Here, we investigated whether decisions about reaching movements are influenced by biomechanical factors and whether these factors are taken into account before movement onset. To this end, we designed an experimental paradigm in which humans made free choices between two potential reaching movements where the options varied in path distance as well as biomechanical factors related to movement energy and stability. Our results suggest that the biomechanical properties of potential actions strongly influence the selection between them. In particular, in our task, subjects preferred movements whose final trajectory was better aligned with the major axis of the arm's mobility ellipse, even when the launching properties were very similar. This reveals that the nervous system can predict biomechanical properties of potential actions before movement onset and that these predictions, in addition to purely abstract criteria, may influence the decision-making process.

Entities:  

Mesh:

Year:  2011        PMID: 21451055     DOI: 10.1152/jn.00975.2010

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


  60 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.  Effort, success, and nonuse determine arm choice.

Authors:  Nicolas Schweighofer; Yupeng Xiao; Sujin Kim; Toshinori Yoshioka; James Gordon; Rieko Osu
Journal:  J Neurophysiol       Date:  2015-05-06       Impact factor: 2.714

3.  Optimizing effort: increased efficiency of motor memory with time away from practice.

Authors:  Sarah E Pekny; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2014-10-29       Impact factor: 2.714

4.  Temporal evolution of both premotor and motor cortical tuning properties reflect changes in limb biomechanics.

Authors:  Aaron J Suminski; Philip Mardoum; Timothy P Lillicrap; Nicholas G Hatsopoulos
Journal:  J Neurophysiol       Date:  2015-02-11       Impact factor: 2.714

5.  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

6.  Decisions in motion: passive body acceleration modulates hand choice.

Authors:  Romy S Bakker; Roel H A Weijer; Robert J van Beers; Luc P J Selen; W Pieter Medendorp
Journal:  J Neurophysiol       Date:  2017-03-01       Impact factor: 2.714

Review 7.  Abandoning and modifying one action plan for alternatives.

Authors:  Joo-Hyun Song
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-04-19       Impact factor: 6.237

Review 8.  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

9.  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

10.  The duration of reaching movement is longer than predicted by minimum variance.

Authors:  Chunji Wang; Yupeng Xiao; Etienne Burdet; James Gordon; Nicolas Schweighofer
Journal:  J Neurophysiol       Date:  2016-08-24       Impact factor: 2.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.