Sensory Agreement Guides Kinetic Energy Optimization of Arm Movements during Object Manipulation
Identifieur interne : 004130 ( Ncbi/Merge ); précédent : 004129; suivant : 004131Sensory Agreement Guides Kinetic Energy Optimization of Arm Movements during Object Manipulation
Auteurs : Ali Farshchiansadegh [États-Unis] ; Alejandro Melendez-Calderon [États-Unis] ; Rajiv Ranganathan [États-Unis] ; Todd D. Murphey [États-Unis] ; Ferdinando A. Mussa-Ivaldi [États-Unis]Source :
- PLoS Computational Biology [ 1553-734X ] ; 2016.
Abstract
The laws of physics establish the energetic efficiency of our movements. In some cases, like locomotion, the mechanics of the body dominate in determining the energetically optimal course of action. In other tasks, such as manipulation, energetic costs depend critically upon the variable properties of objects in the environment. Can the brain identify and follow energy-optimal motions when these motions require moving along unfamiliar trajectories? What feedback information is required for such optimal behavior to occur? To answer these questions, we asked participants to move their dominant hand between different positions while holding a virtual mechanical system with complex dynamics (a planar double pendulum). In this task, trajectories of minimum kinetic energy were along curvilinear paths. Our findings demonstrate that participants were capable of finding the energy-optimal paths, but only when provided with veridical visual and haptic information pertaining to the object, lacking which the trajectories were executed along rectilinear paths.
Url:
DOI: 10.1371/journal.pcbi.1004861
PubMed: 27035587
PubMed Central: 4818082
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<front><div type="abstract" xml:lang="en"><p>The laws of physics establish the energetic efficiency of our movements. In some cases, like locomotion, the mechanics of the body dominate in determining the energetically optimal course of action. In other tasks, such as manipulation, energetic costs depend critically upon the variable properties of objects in the environment. Can the brain identify and follow energy-optimal motions when these motions require moving along unfamiliar trajectories? What feedback information is required for such optimal behavior to occur? To answer these questions, we asked participants to move their dominant hand between different positions while holding a virtual mechanical system with complex dynamics (a planar double pendulum). In this task, trajectories of minimum kinetic energy were along curvilinear paths. Our findings demonstrate that participants were capable of finding the energy-optimal paths, but only when provided with veridical visual and haptic information pertaining to the object, lacking which the trajectories were executed along rectilinear paths.</p>
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<author><name sortKey="Murphey, Todd D" sort="Murphey, Todd D" uniqKey="Murphey T" first="Todd D." last="Murphey">Todd D. Murphey</name>
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<wicri:regionArea>Department of Physiology, Northwestern University, Chicago, Illinois</wicri:regionArea>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Sensory Agreement Guides Kinetic Energy Optimization of Arm Movements during Object Manipulation</title>
<author><name sortKey="Farshchiansadegh, Ali" sort="Farshchiansadegh, Ali" uniqKey="Farshchiansadegh A" first="Ali" last="Farshchiansadegh">Ali Farshchiansadegh</name>
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</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
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</affiliation>
<affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Northwestern University, Evanston, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
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</author>
<author><name sortKey="Melendez Calderon, Alejandro" sort="Melendez Calderon, Alejandro" uniqKey="Melendez Calderon A" first="Alejandro" last="Melendez-Calderon">Alejandro Melendez-Calderon</name>
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</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
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<affiliation wicri:level="2"><nlm:aff id="aff003"><addr-line>Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago, Illinois, United States of America</addr-line>
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<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Ranganathan, Rajiv" sort="Ranganathan, Rajiv" uniqKey="Ranganathan R" first="Rajiv" last="Ranganathan">Rajiv Ranganathan</name>
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</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Kinesiology, Michigan State University, East Lansing, Michigan</wicri:regionArea>
<placeName><region type="state">Michigan</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Murphey, Todd D" sort="Murphey, Todd D" uniqKey="Murphey T" first="Todd D." last="Murphey">Todd D. Murphey</name>
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</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Mechanical Engineering, Northwestern University, Evanston, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
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</author>
<author><name sortKey="Mussa Ivaldi, Ferdinando A" sort="Mussa Ivaldi, Ferdinando A" uniqKey="Mussa Ivaldi F" first="Ferdinando A." last="Mussa-Ivaldi">Ferdinando A. Mussa-Ivaldi</name>
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<wicri:regionArea>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Biomedical Engineering, Northwestern University, Evanston, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="aff003"><addr-line>Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago, Illinois, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Physical Medicine & Rehabilitation, Northwestern University, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
<affiliation wicri:level="2"><nlm:aff id="aff006"><addr-line>Department of Physiology, Northwestern University, Chicago, Illinois, United States of America</addr-line>
</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Physiology, Northwestern University, Chicago, Illinois</wicri:regionArea>
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<series><title level="j">PLoS Computational Biology</title>
<idno type="ISSN">1553-734X</idno>
<idno type="eISSN">1553-7358</idno>
<imprint><date when="2016">2016</date>
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<front><div type="abstract" xml:lang="en"><p>The laws of physics establish the energetic efficiency of our movements. In some cases, like locomotion, the mechanics of the body dominate in determining the energetically optimal course of action. In other tasks, such as manipulation, energetic costs depend critically upon the variable properties of objects in the environment. Can the brain identify and follow energy-optimal motions when these motions require moving along unfamiliar trajectories? What feedback information is required for such optimal behavior to occur? To answer these questions, we asked participants to move their dominant hand between different positions while holding a virtual mechanical system with complex dynamics (a planar double pendulum). In this task, trajectories of minimum kinetic energy were along curvilinear paths. Our findings demonstrate that participants were capable of finding the energy-optimal paths, but only when provided with veridical visual and haptic information pertaining to the object, lacking which the trajectories were executed along rectilinear paths.</p>
</div>
</front>
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<pubmed><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Sensory Agreement Guides Kinetic Energy Optimization of Arm Movements during Object Manipulation.</title>
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<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Melendez Calderon, Alejandro" sort="Melendez Calderon, Alejandro" uniqKey="Melendez Calderon A" first="Alejandro" last="Melendez-Calderon">Alejandro Melendez-Calderon</name>
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<country xml:lang="fr">États-Unis</country>
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<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Ranganathan, Rajiv" sort="Ranganathan, Rajiv" uniqKey="Ranganathan R" first="Rajiv" last="Ranganathan">Rajiv Ranganathan</name>
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<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Kinesiology, Michigan State University, East Lansing, Michigan</wicri:regionArea>
<placeName><region type="state">Michigan</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Murphey, Todd D" sort="Murphey, Todd D" uniqKey="Murphey T" first="Todd D" last="Murphey">Todd D. Murphey</name>
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<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Mechanical Engineering, Northwestern University, Evanston, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Mussa Ivaldi, Ferdinando A" sort="Mussa Ivaldi, Ferdinando A" uniqKey="Mussa Ivaldi F" first="Ferdinando A" last="Mussa-Ivaldi">Ferdinando A. Mussa-Ivaldi</name>
<affiliation wicri:level="2"><nlm:affiliation>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois, United States of America.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Sensory Agreement Guides Kinetic Energy Optimization of Arm Movements during Object Manipulation.</title>
<author><name sortKey="Farshchiansadegh, Ali" sort="Farshchiansadegh, Ali" uniqKey="Farshchiansadegh A" first="Ali" last="Farshchiansadegh">Ali Farshchiansadegh</name>
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<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Melendez Calderon, Alejandro" sort="Melendez Calderon, Alejandro" uniqKey="Melendez Calderon A" first="Alejandro" last="Melendez-Calderon">Alejandro Melendez-Calderon</name>
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<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois</wicri:regionArea>
<placeName><region type="state">Illinois</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Ranganathan, Rajiv" sort="Ranganathan, Rajiv" uniqKey="Ranganathan R" first="Rajiv" last="Ranganathan">Rajiv Ranganathan</name>
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<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Kinesiology, Michigan State University, East Lansing, Michigan</wicri:regionArea>
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</author>
<author><name sortKey="Murphey, Todd D" sort="Murphey, Todd D" uniqKey="Murphey T" first="Todd D" last="Murphey">Todd D. Murphey</name>
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<country xml:lang="fr">États-Unis</country>
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<author><name sortKey="Mussa Ivaldi, Ferdinando A" sort="Mussa Ivaldi, Ferdinando A" uniqKey="Mussa Ivaldi F" first="Ferdinando A" last="Mussa-Ivaldi">Ferdinando A. Mussa-Ivaldi</name>
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<country xml:lang="fr">États-Unis</country>
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</affiliation>
</author>
</analytic>
<series><title level="j">PLoS computational biology</title>
<idno type="eISSN">1553-7358</idno>
<imprint><date when="2016" type="published">2016</date>
</imprint>
</series>
</biblStruct>
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<profileDesc><textClass></textClass>
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<front><div type="abstract" xml:lang="en">The laws of physics establish the energetic efficiency of our movements. In some cases, like locomotion, the mechanics of the body dominate in determining the energetically optimal course of action. In other tasks, such as manipulation, energetic costs depend critically upon the variable properties of objects in the environment. Can the brain identify and follow energy-optimal motions when these motions require moving along unfamiliar trajectories? What feedback information is required for such optimal behavior to occur? To answer these questions, we asked participants to move their dominant hand between different positions while holding a virtual mechanical system with complex dynamics (a planar double pendulum). In this task, trajectories of minimum kinetic energy were along curvilinear paths. Our findings demonstrate that participants were capable of finding the energy-optimal paths, but only when provided with veridical visual and haptic information pertaining to the object, lacking which the trajectories were executed along rectilinear paths.</div>
</front>
</TEI>
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