Beta band oscillations in motor cortex reflect neural population signals that delay movement onset
Abstract
Motor cortical beta oscillations have been reported for decades, yet their behavioral correlates remain disputed. Some studies link beta oscillations to changes in underlying neural activity, but the specific behavioral manifestations of these reported changes remain elusive. To investigate how changes in population neural activity, beta oscillations, and behavior are linked, we recorded multi-scale neural activity from motor cortex while three macaques performed a novel neurofeedback task. Subjects volitionally brought their beta power to an instructed state and subsequently executed an arm reach. Reaches preceded by a reduction in beta power exhibited significantly faster movement onset times than reaches preceded by an increase in beta power. Further, population neural activity was found to shift farther from a movement onset state during beta oscillations that were neurofeedback-induced or naturally occurring during reaching tasks. This finding establishes a population neural basis for slowing during periods of beta oscillatory activity.
Article and author information
Author details
Funding
National Science Foundation
- Preeya Khanna
Defense Sciences Office, DARPA (W911NF-14- 2-0043)
- Jose M Carmena
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Pascal Fries, Ernst Strüngmann Institute (ESI), Germany
Ethics
Animal experimentation: All procedures were conducted in compliance with the NIH Guide for the Care and Use of Laboratory Animals and were approved by the University of California, Berkeley Institutional Animal Care and Use Committee (protocol AUP-2014-09-6720)
Version history
- Received: December 22, 2016
- Accepted: May 1, 2017
- Accepted Manuscript published: May 3, 2017 (version 1)
- Version of Record published: June 12, 2017 (version 2)
Copyright
© 2017, Khanna & Carmena
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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