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Effector-Invariant Movement Encoding in the Human Motor System

Overview of attention for article published in Journal of Neuroscience, August 2017
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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90 Mendeley
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Article details
Title
Effector-Invariant Movement Encoding in the Human Motor System
Published in
Journal of Neuroscience, August 2017
DOI 10.1523/jneurosci.1663-17.2017
Pubmed ID
Authors
Abstract

Ipsilateral motor areas of cerebral cortex are active during arm movements and even reliably predict movement direction. Is coding similar during ipsilateral and contralateral movements? If so, is it in extrinsic (world-centered) or intrinsic (joint-configuration) coordinates? We addressed these questions by examining the similarity of multi-voxel fMRI patterns in visuomotor cortical regions during unilateral reaching movements with both arms. The results of three complementary analyses revealed that fMRI response patterns were similar across right and left arm movements to identical targets (extrinsic coordinates) in visual cortices, and across movements with equivalent joint-angles (intrinsic coordinates) in motor cortices. We interpret this as evidence for the existence of distributed neural populations in multiple motor system areas that encode ipsilateral and contralateral movements in a similar manner: according to their intrinsic/joint coordinates.Significance Statement: Cortical motor control exhibits clear lateralization: each hemisphere controls the motor output of the contralateral body. Nevertheless, neural populations in ipsilateral areas across the visuomotor hierarchy are active during unilateral movements. We show that fMRI response patterns in the motor cortices are similar for both arms if the movement direction is mirror-reversed across the midline. This suggests that in both ipsilateral and contralateral motor cortices, neural populations have effector-invariant coding of movements in intrinsic coordinates. This not only affects our understanding of motor control, it may serve in the development of brain machine interfaces that also utilize ipsilateral neural activity.

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X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Israel 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Student > Master 13 14%
Researcher 12 13%
Student > Bachelor 5 6%
Other 4 4%
Other 16 18%
Unknown 22 24%
Readers by discipline
Readers by discipline Count As %
Neuroscience 21 23%
Psychology 15 17%
Engineering 6 7%
Agricultural and Biological Sciences 5 6%
Medicine and Dentistry 5 6%
Other 7 8%
Unknown 31 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 September 2017.
All research outputs
#9,329,277
of 34,400,738 outputs
Outputs from Journal of Neuroscience
#10,175
of 23,401 outputs
Outputs of similar age
#96,900
of 334,057 outputs
Outputs of similar age from Journal of Neuroscience
#119
of 270 outputs
Altmetric has tracked 34,400,738 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 23,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 56% 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 334,057 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.