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Grasp: combined contribution of object properties and task constraints on hand and finger posture

Overview of attention for article published in Experimental Brain Research, June 2014
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Title
Grasp: combined contribution of object properties and task constraints on hand and finger posture
Published in
Experimental Brain Research, June 2014
DOI 10.1007/s00221-014-3990-1
Pubmed ID
Authors

François Touvet, Agnès Roby-Brami, Marc A. Maier, Selim Eskiizmirliler

Abstract

We compared the effect of different object properties on human upper-limb posture during reach-to-grasp tasks. A combination of extrinsic (object position), intrinsic (object type) and contextual object properties (grasp type) was investigated. Three-dimensional reach posture was measured by the hand position and orientation relative to the object at the time of stable object contact (with the digits). Similarly, the grasp posture was quantified by the angular digit configuration at the time of stationary object contact. We found that hand position and hand orientation were not only dependent on object position, as previously hypothesized, but also on object type and grasp type. Similarly, angular digit configuration was also dependent on extrinsic and contextual properties, and not only on object type (the intrinsic property). Principal component analysis revealed that two principal components (PCs) explained >79 % of the variation in the reach posture, whereas four PCs explained >76 % of the variation of the grasp posture. Again, PCs represented combinations of the input variables, i.e., there was no clear separation between the extrinsic variable acting specifically on the reach component, and the intrinsic variable on the grasp component. Contrary to the Dual Visuomotor Channel theory, these results suggest that extrinsic, intrinsic and contextual object variables do not act separately and exclusively on the neural control of the reach component or on that of the grasp component, but interact on both.

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Mendeley readers

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The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Sweden 1 3%
Canada 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 38%
Researcher 5 15%
Student > Master 4 12%
Lecturer 2 6%
Student > Doctoral Student 2 6%
Other 4 12%
Unknown 4 12%
Readers by discipline Count As %
Neuroscience 6 18%
Computer Science 5 15%
Engineering 5 15%
Psychology 4 12%
Medicine and Dentistry 2 6%
Other 6 18%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from Experimental Brain Research
#2,476
of 3,221 outputs
Outputs of similar age
#163,878
of 227,912 outputs
Outputs of similar age from Experimental Brain Research
#28
of 41 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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