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Digit Position and Forces Covary during Anticipatory Control of Whole-Hand Manipulation

Overview of attention for article published in Frontiers in Human Neuroscience, September 2016
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Title
Digit Position and Forces Covary during Anticipatory Control of Whole-Hand Manipulation
Published in
Frontiers in Human Neuroscience, September 2016
DOI 10.3389/fnhum.2016.00461
Pubmed ID
Authors

Michelle Marneweck, Trevor Lee-Miller, Marco Santello, Andrew M. Gordon

Abstract

Theoretical perspectives on anticipatory planning of object manipulation have traditionally been informed by studies that have investigated kinematics (hand shaping and digit position) and kinetics (forces) in isolation. This poses limitations on our understanding of the integration of such domains, which have recently been shown to be strongly interdependent. Specifically, recent studies revealed strong covariation of digit position and load force during the loading phase of two-digit grasping. Here, we determined whether such digit force-position covariation is a general feature of grasping. We investigated the coordination of digit position and forces during five-digit whole-hand manipulation of an object with a variable mass distribution. Subjects were instructed to prevent object roll during the lift. As found in precision grasping, there was strong trial-to-trial covariation of digit position and force. This suggests that the natural variation of digit position that is compensated for by trial-to-trial variation in digit forces is a fundamental feature of grasp control, and not only specific to precision grasp. However, a main difference with precision grasping was that modulation of digit position to the object's mass distribution was driven predominantly by the thumb, with little to no modulation of finger position. Modulation of thumb position rather than fingers is likely due to its greater range of motion and therefore adaptability to object properties. Our results underscore the flexibility of the central nervous system in implementing a range of solutions along the digit force-to-position continuum for dexterous manipulation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Student > Ph. D. Student 4 18%
Student > Doctoral Student 3 14%
Researcher 3 14%
Professor > Associate Professor 2 9%
Other 1 5%
Unknown 5 23%
Readers by discipline Count As %
Engineering 10 45%
Neuroscience 3 14%
Arts and Humanities 1 5%
Psychology 1 5%
Computer Science 1 5%
Other 2 9%
Unknown 4 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 15 September 2016.
All research outputs
#20,341,859
of 22,888,307 outputs
Outputs from Frontiers in Human Neuroscience
#6,549
of 7,172 outputs
Outputs of similar age
#278,673
of 321,166 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#142
of 151 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.