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  4. Individual movement variability magnitudes are predicted by cortical neural variability
 
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Individual movement variability magnitudes are predicted by cortical neural variability
File(s)
9076.full.pdf (2.6 MB)
Published version
Author(s)
Haar, Shlomi
Donchin, Opher
Dinstein, Ilan
Type
Journal Article
Abstract
Humans exhibit considerable motor variability even across trivial reaching movements. This variability can be separated into specific kinematic components such as extent and direction that are thought to be governed by distinct neural processes. Here, we report that individual subjects (males and females) exhibit different magnitudes of kinematic variability, which are consistent (within individual) across movements to different targets and regardless of which arm (right or left) was used to perform the movements. Simultaneous fMRI recordings revealed that the same subjects also exhibited different magnitudes of fMRI variability across movements in a variety of motor system areas. These fMRI variability magnitudes were also consistent across movements to different targets when performed with either arm. Cortical fMRI variability in the posterior–parietal cortex of individual subjects explained their movement–extent variability. This relationship was apparent only in posterior-parietal cortex and not in other motor system areas, thereby suggesting that individuals with more variable movement preparation exhibit larger kinematic variability. We therefore propose that neural and kinematic variability are reliable and interrelated individual characteristics that may predispose individual subjects to exhibit distinct motor capabilities.
Date Issued
2017-09-13
Date Acceptance
2017-08-05
Citation
The Journal of Neuroscience, 2017, 37 (37), pp.9076-9085
URI
http://hdl.handle.net/10044/1/104609
URL
https://www.jneurosci.org/content/37/37/9076
DOI
https://www.dx.doi.org/10.1101/097824
ISSN
0270-6474
Publisher
Society for Neuroscience
Start Page
9076
End Page
9085
Journal / Book Title
The Journal of Neuroscience
Volume
37
Issue
37
Copyright Statement
Copyright © 2017 the authors
License URL
https://creativecommons.org/licenses/by/4.0/
Identifier
https://www.jneurosci.org/content/37/37/9076
Publication Status
Published
Date Publish Online
2017-08-18
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