Error-enhancing robot therapy to induce motor control improvement in childhood onset primary dystonia.
Identifieur interne : 000B56 ( PubMed/Curation ); précédent : 000B55; suivant : 000B57Error-enhancing robot therapy to induce motor control improvement in childhood onset primary dystonia.
Auteurs : Claudia Casellato [Italie] ; Alessandra Pedrocchi ; Giovanna Zorzi ; Giorgio Rizzi ; Giancarlo Ferrigno ; Nardo NardocciSource :
- Journal of neuroengineering and rehabilitation [ 1743-0003 ] ; 2012.
English descriptors
- KwdEn :
- MESH :
- physiology : Motor Skills, Psychomotor Performance.
- rehabilitation : Dystonic Disorders.
- Adolescent, Age of Onset, Child, Data Interpretation, Statistical, Female, Handwriting, Humans, Kinesthesis, Male, Pilot Projects, Robotics, Treatment Outcome.
Abstract
Robot-generated deviating forces during multijoint reaching movements have been applied to investigate motor control and to tune neuromotor adaptation. Can the application of force to limbs improve motor learning? In this framework, the response to altered dynamic environments of children affected by primary dystonia has never been studied.
DOI: 10.1186/1743-0003-9-46
PubMed: 22824547
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pubmed:22824547Le document en format XML
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<author><name sortKey="Casellato, Claudia" sort="Casellato, Claudia" uniqKey="Casellato C" first="Claudia" last="Casellato">Claudia Casellato</name>
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<author><name sortKey="Pedrocchi, Alessandra" sort="Pedrocchi, Alessandra" uniqKey="Pedrocchi A" first="Alessandra" last="Pedrocchi">Alessandra Pedrocchi</name>
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<author><name sortKey="Zorzi, Giovanna" sort="Zorzi, Giovanna" uniqKey="Zorzi G" first="Giovanna" last="Zorzi">Giovanna Zorzi</name>
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<author><name sortKey="Zorzi, Giovanna" sort="Zorzi, Giovanna" uniqKey="Zorzi G" first="Giovanna" last="Zorzi">Giovanna Zorzi</name>
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<author><name sortKey="Rizzi, Giorgio" sort="Rizzi, Giorgio" uniqKey="Rizzi G" first="Giorgio" last="Rizzi">Giorgio Rizzi</name>
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<term>Age of Onset</term>
<term>Child</term>
<term>Data Interpretation, Statistical</term>
<term>Dystonic Disorders (rehabilitation)</term>
<term>Female</term>
<term>Handwriting</term>
<term>Humans</term>
<term>Kinesthesis</term>
<term>Male</term>
<term>Motor Skills (physiology)</term>
<term>Pilot Projects</term>
<term>Psychomotor Performance (physiology)</term>
<term>Robotics</term>
<term>Treatment Outcome</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Motor Skills</term>
<term>Psychomotor Performance</term>
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<term>Age of Onset</term>
<term>Child</term>
<term>Data Interpretation, Statistical</term>
<term>Female</term>
<term>Handwriting</term>
<term>Humans</term>
<term>Kinesthesis</term>
<term>Male</term>
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<front><div type="abstract" xml:lang="en">Robot-generated deviating forces during multijoint reaching movements have been applied to investigate motor control and to tune neuromotor adaptation. Can the application of force to limbs improve motor learning? In this framework, the response to altered dynamic environments of children affected by primary dystonia has never been studied.</div>
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<DateCreated><Year>2012</Year>
<Month>10</Month>
<Day>29</Day>
</DateCreated>
<DateCompleted><Year>2013</Year>
<Month>02</Month>
<Day>20</Day>
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<DateRevised><Year>2015</Year>
<Month>02</Month>
<Day>24</Day>
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<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1743-0003</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>9</Volume>
<PubDate><Year>2012</Year>
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<Title>Journal of neuroengineering and rehabilitation</Title>
<ISOAbbreviation>J Neuroeng Rehabil</ISOAbbreviation>
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<ArticleTitle>Error-enhancing robot therapy to induce motor control improvement in childhood onset primary dystonia.</ArticleTitle>
<Pagination><MedlinePgn>46</MedlinePgn>
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<ELocationID EIdType="doi" ValidYN="Y">10.1186/1743-0003-9-46</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Robot-generated deviating forces during multijoint reaching movements have been applied to investigate motor control and to tune neuromotor adaptation. Can the application of force to limbs improve motor learning? In this framework, the response to altered dynamic environments of children affected by primary dystonia has never been studied.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">As preliminary pilot study, eleven children with primary dystonia and eleven age-matched healthy control subjects were asked to perform upper limb movements, triangle-reaching (three directions) and circle-writing, using a haptic robot interacting with ad-hoc developed task-specific visual interfaces. Three dynamic conditions were provided, null additive external force (A), constant disturbing force (B) and deactivation of the additive external force again (C). The path length for each trial was computed, from the recorded position data and interaction events.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The results show that the disturbing force affects significantly the movement outcomes in healthy but not in dystonic subjects, already compromised in the reference condition: the external alteration uncalibrates the healthy sensorimotor system, while the dystonic one is already strongly uncalibrated. The lack of systematic compensation for perturbation effects during B condition is reflected into the absence of after-effects in C condition, which would be the evidence that CNS generates a prediction of the perturbing forces using an internal model of the environment.The most promising finding is that in dystonic population the altered dynamic exposure seems to induce a subsequent improvement, i.e. a beneficial after-effect in terms of optimal path control, compared with the correspondent reference movement outcome.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The short-time error-enhancing training in dystonia could represent an effective approach for motor performance improvement, since the exposure to controlled dynamic alterations induces a refining of the existing but strongly imprecise motor scheme and sensorimotor patterns.</AbstractText>
</Abstract>
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<ForeName>Claudia</ForeName>
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<AffiliationInfo><Affiliation>Politecnico di Milano, BioengineeringDept,, NearLab, Milan, Italy. claudia.casellato@mail.polimi.it</Affiliation>
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<Author ValidYN="Y"><LastName>Pedrocchi</LastName>
<ForeName>Alessandra</ForeName>
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<Author ValidYN="Y"><LastName>Zorzi</LastName>
<ForeName>Giovanna</ForeName>
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<ForeName>Giorgio</ForeName>
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<Author ValidYN="Y"><LastName>Ferrigno</LastName>
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<Author ValidYN="Y"><LastName>Nardocci</LastName>
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