Effort, success, and nonuse determine arm choice

Nicolas Schweighofer, Yupeng Xiao, Sujin Kim, Toshinori Yoshioka, James Gordon, Rieko Osu

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

How do humans choose one arm or the other to reach single targets in front of the body? Current theories of reward-driven decisionmaking predict that choice results from a comparison of “action values,” which are the expected rewards for possible actions in a given state. In addition, current theories of motor control predict that in planning arm movements, humans minimize an expected motor cost that balances motor effort and endpoint accuracy. Here, we test the hypotheses that arm choice is determined by comparison of action values comprising expected effort and expected task success for each arm, as well as a handedness bias. Right-handed subjects, in either a large or small target condition, were first instructed to use each hand in turn to shoot through an array of targets and then to choose either hand to shoot through the same targets. Effort was estimated via inverse kinematics and dynamics. A mixed-effects logistic-regression analysis showed that, as predicted, both expected effort and expected success predicted choice, as did arm use in the preceding trial. Finally, individual parameter estimation showed that the handedness bias correlated with mean difference between right-and left-arm success, leading to overall lower use of the left arm. We discuss our results in light of arm nonuse in individuals’ poststroke.

Original languageEnglish
Article numberA36
Pages (from-to)551-559
Number of pages9
JournalJournal of Neurophysiology
Volume114
Issue number1
DOIs
Publication statusPublished - 2015 Jul 1

Keywords

  • Decisionmaking
  • Motor control
  • Motor cost
  • Motor effort
  • Reaching

ASJC Scopus subject areas

  • Neuroscience(all)
  • Physiology

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  • Cite this

    Schweighofer, N., Xiao, Y., Kim, S., Yoshioka, T., Gordon, J., & Osu, R. (2015). Effort, success, and nonuse determine arm choice. Journal of Neurophysiology, 114(1), 551-559. [A36]. https://doi.org/10.1152/jn.00593.2014