Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Individual movement variability magnitudes are predicted by cortical neural variability

View ORCID ProfileShlomi Haar, View ORCID ProfileOpher Donchin, View ORCID ProfileIlan Dinstein
doi: https://doi.org/10.1101/097824
Shlomi Haar
1Dept. of Brain and Cognitive Sciences, Ben-Gurion University of the Negev, Israel
4Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Shlomi Haar
Opher Donchin
2Dept. of Biomedical Engineering, Ben-Gurion University of the Negev, Israel
4Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Opher Donchin
Ilan Dinstein
3Dept. of Psychology, Ben-Gurion University of the Negev, Israel
1Dept. of Brain and Cognitive Sciences, Ben-Gurion University of the Negev, Israel
4Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ilan Dinstein
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

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, which are thought to be governed by distinct neural processes. Here, we report that individual subjects 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 predicted 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.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted June 01, 2017.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Individual movement variability magnitudes are predicted by cortical neural variability
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Individual movement variability magnitudes are predicted by cortical neural variability
Shlomi Haar, Opher Donchin, Ilan Dinstein
bioRxiv 097824; doi: https://doi.org/10.1101/097824
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Individual movement variability magnitudes are predicted by cortical neural variability
Shlomi Haar, Opher Donchin, Ilan Dinstein
bioRxiv 097824; doi: https://doi.org/10.1101/097824

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3502)
  • Biochemistry (7343)
  • Bioengineering (5319)
  • Bioinformatics (20258)
  • Biophysics (10008)
  • Cancer Biology (7735)
  • Cell Biology (11293)
  • Clinical Trials (138)
  • Developmental Biology (6434)
  • Ecology (9947)
  • Epidemiology (2065)
  • Evolutionary Biology (13315)
  • Genetics (9359)
  • Genomics (12579)
  • Immunology (7696)
  • Microbiology (19008)
  • Molecular Biology (7437)
  • Neuroscience (41011)
  • Paleontology (300)
  • Pathology (1228)
  • Pharmacology and Toxicology (2134)
  • Physiology (3155)
  • Plant Biology (6858)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1895)
  • Systems Biology (5311)
  • Zoology (1087)