Literature DB >> 25948869

Effort, success, and nonuse determine arm choice.

Nicolas Schweighofer1, Yupeng Xiao2, Sujin Kim3, Toshinori Yoshioka4, James Gordon3, Rieko Osu4.   

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.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  decisionmaking; motor control; motor cost; motor effort; reaching

Mesh:

Year:  2015        PMID: 25948869      PMCID: PMC4509397          DOI: 10.1152/jn.00593.2014

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


  39 in total

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  16 in total

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4.  The probability of choosing both hands depends on an interaction between motor capacity and limb-specific control in chronic stroke.

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

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10.  Measuring Habitual Arm Use Post-stroke With a Bilateral Time-Constrained Reaching Task.

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