Abnormal sensorimotor control, but intact force field adaptation, in multiple sclerosis subjects with no clinical disability.
Identifieur interne : 000440 ( PubMed/Corpus ); précédent : 000439; suivant : 000441Abnormal sensorimotor control, but intact force field adaptation, in multiple sclerosis subjects with no clinical disability.
Auteurs : Maura Casadio ; Vittorio Sanguineti ; Pietro Morasso ; Claudio SolaroSource :
- Multiple sclerosis (Houndmills, Basingstoke, England) [ 1352-4585 ] ; 2008.
English descriptors
- KwdEn :
- Adaptation, Physiological (physiology), Adult, Disability Evaluation, Female, Hand (physiology), Humans, Male, Middle Aged, Models, Biological, Motor Neurons (physiology), Movement (physiology), Multiple Sclerosis, Relapsing-Remitting (physiopathology), Multiple Sclerosis, Relapsing-Remitting (rehabilitation), Neurons, Afferent (physiology), Physical Therapy Modalities (instrumentation), Predictive Value of Tests, Robotics.
- MESH :
- instrumentation : Physical Therapy Modalities.
- physiology : Adaptation, Physiological, Hand, Motor Neurons, Movement, Neurons, Afferent.
- physiopathology : Multiple Sclerosis, Relapsing-Remitting.
- rehabilitation : Multiple Sclerosis, Relapsing-Remitting.
- Adult, Disability Evaluation, Female, Humans, Male, Middle Aged, Models, Biological, Predictive Value of Tests, Robotics.
Abstract
In MS subjects with no clinical disability, we assessed sensorimotor organization and their ability to adapt to an unfamiliar dynamical environment. Eleven MS subjects performed reaching movements while a robot generated a speed-dependent force field. Control and adaptation performance were compared with that of an equal number of control subjects. During a familiarization phase, when the robot generated no forces, the movements of MS subjects were more curved, displayed greater and more variable directional errors and a longer deceleration phase. During the force field phase, both MS and control subjects gradually learned to predict the robot-generated forces. The rates of adaptation were similar, but MS subjects showed a greater variability in responding to the force field. These results suggest that MS subjects have a preserved capability of learning to predict the effects of the forces, but make greater errors when actually using such predictions to generate movements. Inaccurate motor commands are then compensated later in the movement through an extra amount of sensory-based corrections. This indicates that early in the disease MS subjects have intact adaptive capabilities, but impaired movement execution.
DOI: 10.1177/1352458507085068
PubMed: 18208874
Links to Exploration step
pubmed:18208874Le document en format XML
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Eleven MS subjects performed reaching movements while a robot generated a speed-dependent force field. Control and adaptation performance were compared with that of an equal number of control subjects. During a familiarization phase, when the robot generated no forces, the movements of MS subjects were more curved, displayed greater and more variable directional errors and a longer deceleration phase. During the force field phase, both MS and control subjects gradually learned to predict the robot-generated forces. The rates of adaptation were similar, but MS subjects showed a greater variability in responding to the force field. These results suggest that MS subjects have a preserved capability of learning to predict the effects of the forces, but make greater errors when actually using such predictions to generate movements. Inaccurate motor commands are then compensated later in the movement through an extra amount of sensory-based corrections. This indicates that early in the disease MS subjects have intact adaptive capabilities, but impaired movement execution.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">18208874</PMID><DateCreated><Year>2008</Year><Month>04</Month><Day>18</Day></DateCreated><DateCompleted><Year>2008</Year><Month>08</Month><Day>01</Day></DateCompleted><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1352-4585</ISSN><JournalIssue CitedMedium="Print"><Volume>14</Volume><Issue>3</Issue><PubDate><Year>2008</Year><Month>Apr</Month></PubDate></JournalIssue><Title>Multiple sclerosis (Houndmills, Basingstoke, England)</Title><ISOAbbreviation>Mult. Scler.</ISOAbbreviation></Journal><ArticleTitle>Abnormal sensorimotor control, but intact force field adaptation, in multiple sclerosis subjects with no clinical disability.</ArticleTitle><Pagination><MedlinePgn>330-42</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1177/1352458507085068</ELocationID><Abstract><AbstractText>In MS subjects with no clinical disability, we assessed sensorimotor organization and their ability to adapt to an unfamiliar dynamical environment. Eleven MS subjects performed reaching movements while a robot generated a speed-dependent force field. Control and adaptation performance were compared with that of an equal number of control subjects. During a familiarization phase, when the robot generated no forces, the movements of MS subjects were more curved, displayed greater and more variable directional errors and a longer deceleration phase. During the force field phase, both MS and control subjects gradually learned to predict the robot-generated forces. The rates of adaptation were similar, but MS subjects showed a greater variability in responding to the force field. These results suggest that MS subjects have a preserved capability of learning to predict the effects of the forces, but make greater errors when actually using such predictions to generate movements. Inaccurate motor commands are then compensated later in the movement through an extra amount of sensory-based corrections. This indicates that early in the disease MS subjects have intact adaptive capabilities, but impaired movement execution.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Casadio</LastName><ForeName>Maura</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Informatics, Systems and Telematics and Research Centre for Neuroscience and Neuroengineering, University of Genoa, via Opera Pia 13, Genoa 16145, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sanguineti</LastName><ForeName>Vittorio</ForeName><Initials>V</Initials></Author><Author ValidYN="Y"><LastName>Morasso</LastName><ForeName>Pietro</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Solaro</LastName><ForeName>Claudio</ForeName><Initials>C</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2008</Year><Month>01</Month><Day>21</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Mult Scler</MedlineTA><NlmUniqueID>9509185</NlmUniqueID><ISSNLinking>1352-4585</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000222">Adaptation, Physiological</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000328">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004185">Disability Evaluation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006225">Hand</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D008954">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009046">Motor Neurons</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009068">Movement</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020529">Multiple Sclerosis, Relapsing-Remitting</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000503">physiopathology</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000534">rehabilitation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D009475">Neurons, Afferent</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D026741">Physical Therapy Modalities</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000295">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011237">Predictive Value of Tests</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012371">Robotics</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="aheadofprint"><Year>2008</Year><Month>1</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2008</Year><Month>1</Month><Day>23</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2008</Year><Month>8</Month><Day>2</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2008</Year><Month>1</Month><Day>23</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">1352458507085068</ArticleId><ArticleId IdType="doi">10.1177/1352458507085068</ArticleId><ArticleId IdType="pubmed">18208874</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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