Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control.
Identifieur interne : 000F60 ( Main/Exploration ); précédent : 000F59; suivant : 000F61Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control.
Auteurs : Stella F. Donker [Pays-Bas] ; Melvyn Roerdink ; An J. Greven ; Peter J. BeekSource :
- Experimental brain research [ 1432-1106 ] ; 2007.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Analyse de variance (MeSH), Analyse et exécution des tâches (MeSH), Attention (physiologie), Cognition (MeSH), Dynamique non linéaire (MeSH), Entropie (MeSH), Facteurs temps (MeSH), Femelle (MeSH), Humains (MeSH), Mâle (MeSH), Posture (physiologie), Pression (MeSH), Temps de réaction (physiologie), Vision (physiologie), Équilibre postural (physiologie).
- MESH :
English descriptors
- KwdEn :
- Adult (MeSH), Analysis of Variance (MeSH), Attention (physiology), Cognition (MeSH), Entropy (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Nonlinear Dynamics (MeSH), Postural Balance (physiology), Posture (physiology), Pressure (MeSH), Reaction Time (physiology), Task Performance and Analysis (MeSH), Time Factors (MeSH), Vision, Ocular (physiology).
- MESH :
Abstract
The influence of attention on the dynamical structure of postural sway was examined in 30 healthy young adults by manipulating the focus of attention. In line with the proposed direct relation between the amount of attention invested in postural control and regularity of center-of-pressure (COP) time series, we hypothesized that: (1) increasing cognitive involvement in postural control (i.e., creating an internal focus by increasing task difficulty through visual deprivation) increases COP regularity, and (2) withdrawing attention from postural control (i.e., creating an external focus by performing a cognitive dual task) decreases COP regularity. We quantified COP dynamics in terms of sample entropy (regularity), standard deviation (variability), sway-path length of the normalized posturogram (curviness), largest Lyapunov exponent (local stability), correlation dimension (dimensionality) and scaling exponent (scaling behavior). Consistent with hypothesis 1, standing with eyes closed significantly increased COP regularity. Furthermore, variability increased and local stability decreased, implying ineffective postural control. Conversely, and in line with hypothesis 2, performing a cognitive dual task while standing with eyes closed led to greater irregularity and smaller variability, suggesting an increase in the "efficiency, or "automaticity" of postural control". In conclusion, these findings not only indicate that regularity of COP trajectories is positively related to the amount of attention invested in postural control, but also substantiate that in certain situations an increased internal focus may in fact be detrimental to postural control.
DOI: 10.1007/s00221-007-0905-4
PubMed: 17401553
PubMed Central: PMC1914290
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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In line with the proposed direct relation between the amount of attention invested in postural control and regularity of center-of-pressure (COP) time series, we hypothesized that: (1) increasing cognitive involvement in postural control (i.e., creating an internal focus by increasing task difficulty through visual deprivation) increases COP regularity, and (2) withdrawing attention from postural control (i.e., creating an external focus by performing a cognitive dual task) decreases COP regularity. We quantified COP dynamics in terms of sample entropy (regularity), standard deviation (variability), sway-path length of the normalized posturogram (curviness), largest Lyapunov exponent (local stability), correlation dimension (dimensionality) and scaling exponent (scaling behavior). Consistent with hypothesis 1, standing with eyes closed significantly increased COP regularity. Furthermore, variability increased and local stability decreased, implying ineffective postural control. Conversely, and in line with hypothesis 2, performing a cognitive dual task while standing with eyes closed led to greater irregularity and smaller variability, suggesting an increase in the "efficiency, or "automaticity" of postural control". In conclusion, these findings not only indicate that regularity of COP trajectories is positively related to the amount of attention invested in postural control, but also substantiate that in certain situations an increased internal focus may in fact be detrimental to postural control.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">17401553</PMID><DateCompleted><Year>2008</Year><Month>05</Month><Day>15</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1432-1106</ISSN><JournalIssue CitedMedium="Internet"><Volume>181</Volume><Issue>1</Issue><PubDate><Year>2007</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Experimental brain research</Title><ISOAbbreviation>Exp Brain Res</ISOAbbreviation></Journal><ArticleTitle>Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control.</ArticleTitle><Pagination><MedlinePgn>1-11</MedlinePgn></Pagination><Abstract><AbstractText>The influence of attention on the dynamical structure of postural sway was examined in 30 healthy young adults by manipulating the focus of attention. In line with the proposed direct relation between the amount of attention invested in postural control and regularity of center-of-pressure (COP) time series, we hypothesized that: (1) increasing cognitive involvement in postural control (i.e., creating an internal focus by increasing task difficulty through visual deprivation) increases COP regularity, and (2) withdrawing attention from postural control (i.e., creating an external focus by performing a cognitive dual task) decreases COP regularity. We quantified COP dynamics in terms of sample entropy (regularity), standard deviation (variability), sway-path length of the normalized posturogram (curviness), largest Lyapunov exponent (local stability), correlation dimension (dimensionality) and scaling exponent (scaling behavior). Consistent with hypothesis 1, standing with eyes closed significantly increased COP regularity. Furthermore, variability increased and local stability decreased, implying ineffective postural control. Conversely, and in line with hypothesis 2, performing a cognitive dual task while standing with eyes closed led to greater irregularity and smaller variability, suggesting an increase in the "efficiency, or "automaticity" of postural control". In conclusion, these findings not only indicate that regularity of COP trajectories is positively related to the amount of attention invested in postural control, but also substantiate that in certain situations an increased internal focus may in fact be detrimental to postural control.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Donker</LastName><ForeName>Stella F</ForeName><Initials>SF</Initials><AffiliationInfo><Affiliation>Faculty of Human Movement Sciences, VU University, Research Institute MOVE, Van der Boechorststraat 9, 1081 BT, Amsterdam, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Roerdink</LastName><ForeName>Melvyn</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Greven</LastName><ForeName>An J</ForeName><Initials>AJ</Initials></Author><Author ValidYN="Y"><LastName>Beek</LastName><ForeName>Peter 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MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003071" MajorTopicYN="N">Cognition</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019277" MajorTopicYN="N">Entropy</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017711" MajorTopicYN="N">Nonlinear Dynamics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004856" MajorTopicYN="N">Postural Balance</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011187" MajorTopicYN="N">Posture</DescriptorName><QualifierName UI="Q000502" 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| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PosturoV1
| This area was generated with Dilib version V0.6.37. |  |