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Proprioceptive population coding of limb position in humans

Overview of attention for article published in Experimental Brain Research, February 2003
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Title
Proprioceptive population coding of limb position in humans
Published in
Experimental Brain Research, February 2003
DOI 10.1007/s00221-003-1384-x
Pubmed ID
Authors

Edith Ribot-Ciscar, Mikael Bergenheim, Frédéric Albert, Jean-Pierre Roll

Abstract

The present study investigates the coding of positions reached in a two-dimensional space by populations of muscle spindle afferents. The unitary activity of 35 primary muscle spindle afferents originating from the tibialis anterior, extensor digitorum longus, extensor hallucis longus, and peroneus lateralis muscles were recorded from the common peroneal nerve by the microneurographic technique. The steady mean frequency of discharge was analyzed during 16 passively maintained positions of the tip of the foot. These positions were equally distant from and circularly arranged around the "neutral" position of the ankle. The results showed that a same position of the foot was differently coded depending on whether it was maintained for several seconds or whether it was attained after a movement. Muscle spindle activity was increased or decreased, respectively, when the previous movement lengthened or shortened the parent muscle; the magnitude of change in activity depended on the amount of lengthening or shortening in relation to movement direction. Each muscle surrounding the ankle joint was shown to encode the different spatial positions following a directional tuning curve. Data were analyzed by using the "neuronal population vector model". This model consists of calculating population vectors representing the mean contribution of each muscle population of afferents to the coding of a particular position, and by finally calculating a sum vector. The direction of the sum vector was shown to accurately describe the direction of a given maintained position compared to the initial position. We conclude that muscle spindle position coding is based on afferent information coming from the whole set of muscles crossing a given joint. A given spatial position is associated with a stable muscle afferent inflow where each muscle makes an oriented and weighted contribution to its coding.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 2 2%
United Kingdom 2 2%
Australia 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Unknown 97 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Student > Master 13 12%
Professor 10 9%
Researcher 10 9%
Professor > Associate Professor 10 9%
Other 22 21%
Unknown 20 19%
Readers by discipline Count As %
Engineering 20 19%
Agricultural and Biological Sciences 17 16%
Medicine and Dentistry 14 13%
Neuroscience 11 10%
Sports and Recreations 6 6%
Other 15 14%
Unknown 23 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 December 2017.
All research outputs
#7,462,180
of 22,813,792 outputs
Outputs from Experimental Brain Research
#900
of 3,226 outputs
Outputs of similar age
#30,717
of 125,881 outputs
Outputs of similar age from Experimental Brain Research
#8
of 20 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,226 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 125,881 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.