What Do Synergies Do? Effects of Secondary Constraints on Multidigit Synergies in Accurate Force-Production Tasks
1 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania; 2 Department of Physical Therapy and Biomechanics and Movement Science Program, University of Delaware, Newark, Delaware Submitted 17 September 2007; accepted in final form 23 November 2007 We used the framewo...
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Published in | Journal of neurophysiology Vol. 99; no. 2; pp. 500 - 513 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
Am Phys Soc
01.02.2008
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Subjects | |
Online Access | Get full text |
ISSN | 0022-3077 1522-1598 |
DOI | 10.1152/jn.01029.2007 |
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Abstract | 1 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania; 2 Department of Physical Therapy and Biomechanics and Movement Science Program, University of Delaware, Newark, Delaware
Submitted 17 September 2007;
accepted in final form 23 November 2007
We used the framework of the uncontrolled manifold (UCM) hypothesis to explore changes in the structure of variability in multifinger force-production tasks when a secondary task was introduced. Healthy young subjects produced several levels of the total force by pressing with the four fingers of the hand on force sensors. The frame with the sensors rested on the table ( Stable condition) or on a narrow supporting beam ( Unstable conditions) that could be placed between different finger pairs. Most variance in the finger mode space was compatible with a fixed value of the total force across all conditions, whereas the patterns of sharing of the total force among the fingers were condition dependent. Moment of force was stabilized only in the Unstable conditions. The finger mode data were projected onto the UCM computed for the total force and subjected to principal component (PC) analysis. Two PCs accounted for >90% of the variance. The directions of the PC vectors varied across subjects in the Stable condition, whereas two "default" PCs were observed under the Unstable conditions. These observations show that different persons coordinate their fingers differently in force-production tasks. They converge on similar solutions when an additional constraint is introduced. The use of variable solutions allows avoiding a loss in accuracy of performance when the same elements get involved in another task. Our results suggest a mechanism underlying the principle of superposition suggested in a variety of human and robotic studies.
Address for reprint requests and other correspondence: M. L. Latash, Rec Hall-268N, Department of Kinesiology, Pennsylvania State University, University Park, PA 16802 (E-mail: mll11{at}psu.edu ) |
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AbstractList | We used the framework of the uncontrolled manifold (UCM) hypothesis to explore changes in the structure of variability in multifinger force-production tasks when a secondary task was introduced. Healthy young subjects produced several levels of the total force by pressing with the four fingers of the hand on force sensors. The frame with the sensors rested on the table (Stable condition) or on a narrow supporting beam (Unstable conditions) that could be placed between different finger pairs. Most variance in the finger mode space was compatible with a fixed value of the total force across all conditions, whereas the patterns of sharing of the total force among the fingers were condition dependent. Moment of force was stabilized only in the Unstable conditions. The finger mode data were projected onto the UCM computed for the total force and subjected to principal component (PC) analysis. Two PCs accounted for >90% of the variance. The directions of the PC vectors varied across subjects in the Stable condition, whereas two "default" PCs were observed under the Unstable conditions. These observations show that different persons coordinate their fingers differently in force-production tasks. They converge on similar solutions when an additional constraint is introduced. The use of variable solutions allows avoiding a loss in accuracy of performance when the same elements get involved in another task. Our results suggest a mechanism underlying the principle of superposition suggested in a variety of human and robotic studies. We used the framework of the uncontrolled manifold (UCM) hypothesis to explore changes in the structure of variability in multifinger force-production tasks when a secondary task was introduced. Healthy young subjects produced several levels of the total force by pressing with the four fingers of the hand on force sensors. The frame with the sensors rested on the table (Stable condition) or on a narrow supporting beam (Unstable conditions) that could be placed between different finger pairs. Most variance in the finger mode space was compatible with a fixed value of the total force across all conditions, whereas the patterns of sharing of the total force among the fingers were condition dependent. Moment of force was stabilized only in the Unstable conditions. The finger mode data were projected onto the UCM computed for the total force and subjected to principal component (PC) analysis. Two PCs accounted for >90% of the variance. The directions of the PC vectors varied across subjects in the Stable condition, whereas two "default" PCs were observed under the Unstable conditions. These observations show that different persons coordinate their fingers differently in force-production tasks. They converge on similar solutions when an additional constraint is introduced. The use of variable solutions allows avoiding a loss in accuracy of performance when the same elements get involved in another task. Our results suggest a mechanism underlying the principle of superposition suggested in a variety of human and robotic studies.We used the framework of the uncontrolled manifold (UCM) hypothesis to explore changes in the structure of variability in multifinger force-production tasks when a secondary task was introduced. Healthy young subjects produced several levels of the total force by pressing with the four fingers of the hand on force sensors. The frame with the sensors rested on the table (Stable condition) or on a narrow supporting beam (Unstable conditions) that could be placed between different finger pairs. Most variance in the finger mode space was compatible with a fixed value of the total force across all conditions, whereas the patterns of sharing of the total force among the fingers were condition dependent. Moment of force was stabilized only in the Unstable conditions. The finger mode data were projected onto the UCM computed for the total force and subjected to principal component (PC) analysis. Two PCs accounted for >90% of the variance. The directions of the PC vectors varied across subjects in the Stable condition, whereas two "default" PCs were observed under the Unstable conditions. These observations show that different persons coordinate their fingers differently in force-production tasks. They converge on similar solutions when an additional constraint is introduced. The use of variable solutions allows avoiding a loss in accuracy of performance when the same elements get involved in another task. Our results suggest a mechanism underlying the principle of superposition suggested in a variety of human and robotic studies. 1 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania; 2 Department of Physical Therapy and Biomechanics and Movement Science Program, University of Delaware, Newark, Delaware Submitted 17 September 2007; accepted in final form 23 November 2007 We used the framework of the uncontrolled manifold (UCM) hypothesis to explore changes in the structure of variability in multifinger force-production tasks when a secondary task was introduced. Healthy young subjects produced several levels of the total force by pressing with the four fingers of the hand on force sensors. The frame with the sensors rested on the table ( Stable condition) or on a narrow supporting beam ( Unstable conditions) that could be placed between different finger pairs. Most variance in the finger mode space was compatible with a fixed value of the total force across all conditions, whereas the patterns of sharing of the total force among the fingers were condition dependent. Moment of force was stabilized only in the Unstable conditions. The finger mode data were projected onto the UCM computed for the total force and subjected to principal component (PC) analysis. Two PCs accounted for >90% of the variance. The directions of the PC vectors varied across subjects in the Stable condition, whereas two "default" PCs were observed under the Unstable conditions. These observations show that different persons coordinate their fingers differently in force-production tasks. They converge on similar solutions when an additional constraint is introduced. The use of variable solutions allows avoiding a loss in accuracy of performance when the same elements get involved in another task. Our results suggest a mechanism underlying the principle of superposition suggested in a variety of human and robotic studies. Address for reprint requests and other correspondence: M. L. Latash, Rec Hall-268N, Department of Kinesiology, Pennsylvania State University, University Park, PA 16802 (E-mail: mll11{at}psu.edu ) We used the framework of the uncontrolled manifold (UCM) hypothesis to explore changes in the structure of variability in multifinger force-production tasks when a secondary task was introduced. Healthy young subjects produced several levels of the total force by pressing with the four fingers of the hand on force sensors. The frame with the sensors rested on the table ( Stable condition) or on a narrow supporting beam ( Unstable conditions) that could be placed between different finger pairs. Most variance in the finger mode space was compatible with a fixed value of the total force across all conditions, whereas the patterns of sharing of the total force among the fingers were condition dependent. Moment of force was stabilized only in the Unstable conditions. The finger mode data were projected onto the UCM computed for the total force and subjected to principal component (PC) analysis. Two PCs accounted for >90% of the variance. The directions of the PC vectors varied across subjects in the Stable condition, whereas two “default” PCs were observed under the Unstable conditions. These observations show that different persons coordinate their fingers differently in force-production tasks. They converge on similar solutions when an additional constraint is introduced. The use of variable solutions allows avoiding a loss in accuracy of performance when the same elements get involved in another task. Our results suggest a mechanism underlying the principle of superposition suggested in a variety of human and robotic studies. |
Author | Scholz, John P Zhang, Wei Zatsiorsky, Vladimir M Latash, Mark L |
AuthorAffiliation | 1 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania 2 Department of Physical Therapy and Biomechanics and Movement Science Program, University of Delaware, Newark, Delaware |
AuthorAffiliation_xml | – name: 1 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania – name: 2 Department of Physical Therapy and Biomechanics and Movement Science Program, University of Delaware, Newark, Delaware |
Author_xml | – sequence: 1 fullname: Zhang, Wei – sequence: 2 fullname: Scholz, John P – sequence: 3 fullname: Zatsiorsky, Vladimir M – sequence: 4 fullname: Latash, Mark L |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/18046000$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1007/s00221-002-1278-3 10.1017/S0140525X00081474 10.1007/BF00274999 10.1007/s00221-004-2074-z 10.1123/mcj.11.3.276 10.1016/j.ijpsycho.2005.03.014 10.1017/S0263574703005344 10.1007/s002210050738 10.1007/s002210100861 10.1152/japplphysiol.00966.2006 10.1007/s00221-004-2137-1 10.1123/mcj.8.4.392 10.1007/s00221-003-1480-y 10.1007/s00221-006-0505-8 10.1007/s00422-002-0336-z 10.1152/jn.00482.2005 10.1080/00222895.1986.10735369 10.1113/jphysiol.1994.sp020312 10.1007/s00221-003-1527-0 10.1152/jn.01310.2004 10.1152/japplphysiol.00045.2004 10.1007/s002210100878 10.1007/s00221-005-2248-3 10.1023/A:1013987209547 10.1017/S0263574799002441 10.1007/s004220050466 10.1007/s002219900267 10.1016/0006-8993(80)90866-5 10.1097/00003677-200201000-00006 10.1007/s00221-001-0944-1 10.1007/s002210050500 10.1017/S0263574701003733 10.1152/jn.01142.2006 10.1007/978-1-4684-9464-8 10.1017/S0263574700002939 10.1007/s00221-006-0521-8 10.1080/00140138108924827 10.1007/s002210050343 10.1007/s004220100279 10.1123/mcj.11.3.259 10.1007/s00221-002-1196-4 10.1152/jn.1998.79.3.1307 10.1016/S0167-9457(99)00042-1 10.1007/s002210000540 10.1038/nn963 10.1007/s00221-006-0663-8 10.1146/annurev.ne.15.030192.002155 10.1007/s00422-005-0548-0 10.1038/29528 10.1007/s00221-004-2147-z |
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Snippet | 1 Department of Kinesiology, Pennsylvania State University, University Park, Pennsylvania; 2 Department of Physical Therapy and Biomechanics and Movement... We used the framework of the uncontrolled manifold (UCM) hypothesis to explore changes in the structure of variability in multifinger force-production tasks... |
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SubjectTerms | Adult Analysis of Variance Female Fingers - innervation Fingers - physiology Hand Strength - physiology Humans Male Models, Biological Movement - physiology Postural Balance - physiology Principal Component Analysis Psychomotor Performance - physiology Task Performance and Analysis Time Factors |
Title | What Do Synergies Do? Effects of Secondary Constraints on Multidigit Synergies in Accurate Force-Production Tasks |
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