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A synergy-based hand control is encoded in human motor cortical areas

Identifieur interne : 00B251 ( Main/Merge ); précédent : 00B250; suivant : 00B252

A synergy-based hand control is encoded in human motor cortical areas

Auteurs : Andrea Leo [Italie] ; Giacomo Handjaras [Italie] ; Matteo Bianchi [Italie] ; Hamal Marino [Italie] ; Marco Gabiccini [Italie] ; Andrea Guidi [Italie] ; Enzo Pasquale Scilingo [Italie] ; Pietro Pietrini [Italie] ; Antonio Bicchi [Italie] ; Marco Santello [États-Unis] ; Emiliano Ricciardi [Italie]

Source :

RBID : PMC:4786436

Abstract

How the human brain controls hand movements to carry out different tasks is still debated. The concept of synergy has been proposed to indicate functional modules that may simplify the control of hand postures by simultaneously recruiting sets of muscles and joints. However, whether and to what extent synergic hand postures are encoded as such at a cortical level remains unknown. Here, we combined kinematic, electromyography, and brain activity measures obtained by functional magnetic resonance imaging while subjects performed a variety of movements towards virtual objects. Hand postural information, encoded through kinematic synergies, were represented in cortical areas devoted to hand motor control and successfully discriminated individual grasping movements, significantly outperforming alternative somatotopic or muscle-based models. Importantly, hand postural synergies were predicted by neural activation patterns within primary motor cortex. These findings support a novel cortical organization for hand movement control and open potential applications for brain-computer interfaces and neuroprostheses.

DOI:http://dx.doi.org/10.7554/eLife.13420.001


Url:
DOI: 10.7554/eLife.13420
PubMed: 26880543
PubMed Central: 4786436

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Links to Exploration step

PMC:4786436

Le document en format XML

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</author>
<author>
<name sortKey="Ricciardi, Emiliano" sort="Ricciardi, Emiliano" uniqKey="Ricciardi E" first="Emiliano" last="Ricciardi">Emiliano Ricciardi</name>
<affiliation wicri:level="1">
<nlm:aff id="aff1">
<institution content-type="dept">Laboratory of Clinical Biochemistry and Molecular Biology</institution>
,
<institution>University of Pisa</institution>
,
<addr-line>Pisa</addr-line>
,
<country>Italy</country>
</nlm:aff>
<country xml:lang="fr">Italie</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="aff2">
<institution content-type="dept">Research Center 'E. Piaggio'</institution>
,
<institution>University of Pisa</institution>
,
<addr-line>Pisa</addr-line>
,
<country>Italy</country>
</nlm:aff>
<country xml:lang="fr">Italie</country>
<wicri:regionArea># see nlm:aff country strict</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series>
<title level="j">eLife</title>
<idno type="eISSN">2050-084X</idno>
<imprint>
<date when="????">????</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>How the human brain controls hand movements to carry out different tasks is still debated. The concept of
<italic>synergy</italic>
has been proposed to indicate functional modules that may simplify the control of hand postures by simultaneously recruiting sets of muscles and joints. However, whether and to what extent synergic hand postures are encoded as such at a cortical level remains unknown. Here, we combined kinematic, electromyography, and brain activity measures obtained by functional magnetic resonance imaging while subjects performed a variety of movements towards virtual objects. Hand postural information, encoded through kinematic synergies, were represented in cortical areas devoted to hand motor control and successfully discriminated individual grasping movements, significantly outperforming alternative somatotopic or muscle-based models. Importantly, hand postural synergies were predicted by neural activation patterns within primary motor cortex. These findings support a novel cortical organization for hand movement control and open potential applications for brain-computer interfaces and neuroprostheses.</p>
<p>
<bold>DOI:</bold>
<ext-link ext-link-type="doi" xlink:href="10.7554/eLife.13420.001">http://dx.doi.org/10.7554/eLife.13420.001</ext-link>
</p>
</div>
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