Multidigit movement synergies of the human hand in an unconstrained haptic exploration task.
Identifieur interne : 001241 ( PubMed/Checkpoint ); précédent : 001240; suivant : 001242Multidigit movement synergies of the human hand in an unconstrained haptic exploration task.
Auteurs : Pramodsingh H. Thakur [États-Unis] ; Amy J. Bastian ; Steven S. HsiaoSource :
- The Journal of neuroscience : the official journal of the Society for Neuroscience [ 1529-2401 ] ; 2008.
English descriptors
- KwdEn :
- MESH :
- physiology : Fingers, Hand, Hand Strength, Movement, Psychomotor Performance.
- Female, Humans, Male.
Abstract
Although the human hand has a complex structure with many individual degrees of freedom, joint movements are correlated. Studies involving simple tasks (grasping) or skilled tasks (typing or finger spelling) have shown that a small number of combined joint motions (i.e., synergies) can account for most of the variance in observed hand postures. However, those paradigms evoked a limited set of hand postures and as such the reported correlation patterns of joint motions may be task-specific. Here, we used an unconstrained haptic exploration task to evoke a set of hand postures that is representative of most naturalistic postures during object manipulation. Principal component analysis on this set revealed that the first seven principal components capture >90% of the observed variance in hand postures. Further, we identified nine eigenvectors (or synergies) that are remarkably similar across multiple subjects and across manipulations of different sets of objects within a subject. We then determined that these synergies are used broadly by showing that they account for the changes in hand postures during other tasks. These include hand motions such as reach and grasp of objects that vary in width, curvature and angle, and skilled motions such as precision pinch. Our results demonstrate that the synergies reported here generalize across tasks, and suggest that they represent basic building blocks underlying natural human hand motions.
DOI: 10.1523/JNEUROSCI.4512-07.2008
PubMed: 18256247
Affiliations:
Links toward previous steps (curation, corpus...)
Links to Exploration step
pubmed:18256247Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Multidigit movement synergies of the human hand in an unconstrained haptic exploration task.</title><author><name sortKey="Thakur, Pramodsingh H" sort="Thakur, Pramodsingh H" uniqKey="Thakur P" first="Pramodsingh H" last="Thakur">Pramodsingh H. Thakur</name><affiliation wicri:level="1"><nlm:affiliation>Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute and Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute and Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland 21218</wicri:regionArea><wicri:noRegion>Maryland 21218</wicri:noRegion></affiliation></author><author><name sortKey="Bastian, Amy J" sort="Bastian, Amy J" uniqKey="Bastian A" first="Amy J" last="Bastian">Amy J. Bastian</name></author><author><name sortKey="Hsiao, Steven S" sort="Hsiao, Steven S" uniqKey="Hsiao S" first="Steven S" last="Hsiao">Steven S. Hsiao</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2008">2008</date><idno type="doi">10.1523/JNEUROSCI.4512-07.2008</idno><idno type="RBID">pubmed:18256247</idno><idno type="pmid">18256247</idno><idno type="wicri:Area/PubMed/Corpus">001517</idno><idno type="wicri:Area/PubMed/Curation">001517</idno><idno type="wicri:Area/PubMed/Checkpoint">001241</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Multidigit movement synergies of the human hand in an unconstrained haptic exploration task.</title><author><name sortKey="Thakur, Pramodsingh H" sort="Thakur, Pramodsingh H" uniqKey="Thakur P" first="Pramodsingh H" last="Thakur">Pramodsingh H. Thakur</name><affiliation wicri:level="1"><nlm:affiliation>Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute and Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute and Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland 21218</wicri:regionArea><wicri:noRegion>Maryland 21218</wicri:noRegion></affiliation></author><author><name sortKey="Bastian, Amy J" sort="Bastian, Amy J" uniqKey="Bastian A" first="Amy J" last="Bastian">Amy J. Bastian</name></author><author><name sortKey="Hsiao, Steven S" sort="Hsiao, Steven S" uniqKey="Hsiao S" first="Steven S" last="Hsiao">Steven S. Hsiao</name></author></analytic><series><title level="j">The Journal of neuroscience : the official journal of the Society for Neuroscience</title><idno type="eISSN">1529-2401</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Female</term><term>Fingers (physiology)</term><term>Hand (physiology)</term><term>Hand Strength (physiology)</term><term>Humans</term><term>Male</term><term>Movement (physiology)</term><term>Psychomotor Performance (physiology)</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Fingers</term><term>Hand</term><term>Hand Strength</term><term>Movement</term><term>Psychomotor Performance</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Female</term><term>Humans</term><term>Male</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Although the human hand has a complex structure with many individual degrees of freedom, joint movements are correlated. Studies involving simple tasks (grasping) or skilled tasks (typing or finger spelling) have shown that a small number of combined joint motions (i.e., synergies) can account for most of the variance in observed hand postures. However, those paradigms evoked a limited set of hand postures and as such the reported correlation patterns of joint motions may be task-specific. Here, we used an unconstrained haptic exploration task to evoke a set of hand postures that is representative of most naturalistic postures during object manipulation. Principal component analysis on this set revealed that the first seven principal components capture >90% of the observed variance in hand postures. Further, we identified nine eigenvectors (or synergies) that are remarkably similar across multiple subjects and across manipulations of different sets of objects within a subject. We then determined that these synergies are used broadly by showing that they account for the changes in hand postures during other tasks. These include hand motions such as reach and grasp of objects that vary in width, curvature and angle, and skilled motions such as precision pinch. Our results demonstrate that the synergies reported here generalize across tasks, and suggest that they represent basic building blocks underlying natural human hand motions.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">18256247</PMID><DateCreated><Year>2008</Year><Month>02</Month><Day>07</Day></DateCreated><DateCompleted><Year>2008</Year><Month>02</Month><Day>25</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1529-2401</ISSN><JournalIssue CitedMedium="Internet"><Volume>28</Volume><Issue>6</Issue><PubDate><Year>2008</Year><Month>Feb</Month><Day>6</Day></PubDate></JournalIssue><Title>The Journal of neuroscience : the official journal of the Society for Neuroscience</Title><ISOAbbreviation>J. Neurosci.</ISOAbbreviation></Journal><ArticleTitle>Multidigit movement synergies of the human hand in an unconstrained haptic exploration task.</ArticleTitle><Pagination><MedlinePgn>1271-81</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1523/JNEUROSCI.4512-07.2008</ELocationID><Abstract><AbstractText>Although the human hand has a complex structure with many individual degrees of freedom, joint movements are correlated. Studies involving simple tasks (grasping) or skilled tasks (typing or finger spelling) have shown that a small number of combined joint motions (i.e., synergies) can account for most of the variance in observed hand postures. However, those paradigms evoked a limited set of hand postures and as such the reported correlation patterns of joint motions may be task-specific. Here, we used an unconstrained haptic exploration task to evoke a set of hand postures that is representative of most naturalistic postures during object manipulation. Principal component analysis on this set revealed that the first seven principal components capture >90% of the observed variance in hand postures. Further, we identified nine eigenvectors (or synergies) that are remarkably similar across multiple subjects and across manipulations of different sets of objects within a subject. We then determined that these synergies are used broadly by showing that they account for the changes in hand postures during other tasks. These include hand motions such as reach and grasp of objects that vary in width, curvature and angle, and skilled motions such as precision pinch. Our results demonstrate that the synergies reported here generalize across tasks, and suggest that they represent basic building blocks underlying natural human hand motions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Thakur</LastName><ForeName>Pramodsingh H</ForeName><Initials>PH</Initials><AffiliationInfo><Affiliation>Department of Neuroscience, Zanvyl Krieger Mind/Brain Institute and Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland 21218, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bastian</LastName><ForeName>Amy J</ForeName><Initials>AJ</Initials></Author><Author ValidYN="Y"><LastName>Hsiao</LastName><ForeName>Steven S</ForeName><Initials>SS</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>HO040289</GrantID><Acronym>HO</Acronym><Agency>NHLBI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>NS34086</GrantID><Acronym>NS</Acronym><Agency>NINDS NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Neurosci</MedlineTA><NlmUniqueID>8102140</NlmUniqueID><ISSNLinking>0270-6474</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005385">Fingers</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006225">Hand</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018737">Hand Strength</DescriptorName><QualifierName MajorTopicYN="Y" 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="D009068">Movement</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D011597">Psychomotor Performance</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2008</Year><Month>2</Month><Day>8</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2008</Year><Month>2</Month><Day>26</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2008</Year><Month>2</Month><Day>8</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">28/6/1271</ArticleId><ArticleId IdType="doi">10.1523/JNEUROSCI.4512-07.2008</ArticleId><ArticleId IdType="pubmed">18256247</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country></list><tree><noCountry><name sortKey="Bastian, Amy J" sort="Bastian, Amy J" uniqKey="Bastian A" first="Amy J" last="Bastian">Amy J. Bastian</name><name sortKey="Hsiao, Steven S" sort="Hsiao, Steven S" uniqKey="Hsiao S" first="Steven S" last="Hsiao">Steven S. Hsiao</name></noCountry><country name="États-Unis"><noRegion><name sortKey="Thakur, Pramodsingh H" sort="Thakur, Pramodsingh H" uniqKey="Thakur P" first="Pramodsingh H" last="Thakur">Pramodsingh H. Thakur</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PubMed/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001241 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd -nk 001241 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= HapticV1
|flux= PubMed
|étape= Checkpoint
|type= RBID
|clé= pubmed:18256247
|texte= Multidigit movement synergies of the human hand in an unconstrained haptic exploration task.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i -Sk "pubmed:18256247" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a HapticV1
| This area was generated with Dilib version V0.6.23. |  |