The influence of predicted arm biomechanics on decision making
- PMID: 21451055
- DOI: 10.1152/jn.00975.2010
The influence of predicted arm biomechanics on decision making
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.
Similar articles
-
The modulatory influence of end-point controllability on decisions between actions.J Neurophysiol. 2012 Sep;108(6):1764-80. doi: 10.1152/jn.00081.2012. Epub 2012 Jul 5. J Neurophysiol. 2012. PMID: 22773776
-
Directional biases reveal utilization of arm's biomechanical properties for optimization of motor behavior.J Neurophysiol. 2007 Sep;98(3):1240-52. doi: 10.1152/jn.00582.2007. Epub 2007 Jul 11. J Neurophysiol. 2007. PMID: 17625062
-
Modelling the learning of biomechanics and visual planning for decision-making of motor actions.J Physiol Paris. 2013 Nov;107(5):399-408. doi: 10.1016/j.jphysparis.2013.07.004. Epub 2013 Aug 23. J Physiol Paris. 2013. PMID: 23973913
-
Coordinated turn-and-reach movements. I. Anticipatory compensation for self-generated coriolis and interaction torques.J Neurophysiol. 2003 Jan;89(1):276-89. doi: 10.1152/jn.00159.2001. J Neurophysiol. 2003. PMID: 12522179
-
Bridging of models for complex movements in 3D.Adv Exp Med Biol. 2009;629:479-83. doi: 10.1007/978-0-387-77064-2_25. Adv Exp Med Biol. 2009. PMID: 19227516 Review. No abstract available.
Cited by
-
Body dynamics of gait affect value-based decisions.Sci Rep. 2021 Jun 4;11(1):11894. doi: 10.1038/s41598-021-91285-1. Sci Rep. 2021. PMID: 34088941 Free PMC article.
-
Motor cortex activity predicts response alternation during sensorimotor decisions.Nat Commun. 2016 Oct 7;7:13098. doi: 10.1038/ncomms13098. Nat Commun. 2016. PMID: 27713396 Free PMC article.
-
Embodied Cognition With and Without Mental Representations: The Case of Embodied Choices in Sports.Front Psychol. 2019 Aug 7;10:1825. doi: 10.3389/fpsyg.2019.01825. eCollection 2019. Front Psychol. 2019. PMID: 31440188 Free PMC article. Review.
-
Theta but not beta activity is modulated by freedom of choice during action selection.Sci Rep. 2022 Jun 1;12(1):9115. doi: 10.1038/s41598-022-13318-7. Sci Rep. 2022. PMID: 35650241 Free PMC article.
-
Population coding of conditional probability distributions in dorsal premotor cortex.Nat Commun. 2018 May 3;9(1):1788. doi: 10.1038/s41467-018-04062-6. Nat Commun. 2018. PMID: 29725023 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources