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Behavioral and neural variability of naturalistic arm movements

View ORCID ProfileSteven M. Peterson, View ORCID ProfileSatpreet H. Singh, Nancy X. R. Wang, View ORCID ProfileRajesh P. N. Rao, View ORCID ProfileBingni W. Brunton
doi: https://doi.org/10.1101/2020.04.17.047357
Steven M. Peterson
1Department of Biology, University of Washington, Seattle, WA 98195, USA
2eScience Institute, University of Washington
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  • For correspondence: stepeter@uw.edu bbrunton@uw.edu
Satpreet H. Singh
3Department of Electrical and Computer Engineering, University of Washington
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Nancy X. R. Wang
4IBM Research, San Jose, CA 95120, USA
5Paul G. Allen School of Computer Science and Engineering, University of Washington
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Rajesh P. N. Rao
3Department of Electrical and Computer Engineering, University of Washington
5Paul G. Allen School of Computer Science and Engineering, University of Washington
6Center for Neurotechnology, University of Washington
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Bingni W. Brunton
1Department of Biology, University of Washington, Seattle, WA 98195, USA
2eScience Institute, University of Washington
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  • For correspondence: stepeter@uw.edu bbrunton@uw.edu
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Abstract

Motor behaviors are central to many functions and dysfunctions of the brain, and understanding their neural basis has consequently been a major focus in neuroscience. However, most studies of motor behaviors have been restricted to artificial, repetitive paradigms, far removed from natural movements performed “in the wild.” Here, we leveraged recent advances in machine learning and computer vision to analyze intracranial recordings from 12 human subjects during thousands of spontaneous arm reach movements, observed over several days for each subject. These naturalistic movements elicited cortical spectral power patterns consistent with findings from controlled paradigms, but with an important difference: there was considerable neural variability across subjects and events. We modeled inter-event variability using ten behavioral and environmental features; the most important features explaining this variability were reach angle and recording day. Our work is among the first studies connecting behavioral and neural variability across cortex in humans during spontaneous movements and contributes to our understanding of long-term naturalistic behavior.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://figshare.com/s/ef4ea24d67d16233f73d

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted April 18, 2020.
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Behavioral and neural variability of naturalistic arm movements
Steven M. Peterson, Satpreet H. Singh, Nancy X. R. Wang, Rajesh P. N. Rao, Bingni W. Brunton
bioRxiv 2020.04.17.047357; doi: https://doi.org/10.1101/2020.04.17.047357
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Behavioral and neural variability of naturalistic arm movements
Steven M. Peterson, Satpreet H. Singh, Nancy X. R. Wang, Rajesh P. N. Rao, Bingni W. Brunton
bioRxiv 2020.04.17.047357; doi: https://doi.org/10.1101/2020.04.17.047357

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