The rate of transient beta frequency events predicts behavior across tasks and species

Beta oscillations (15-29Hz) are among the most prominent signatures of brain activity. Beta power is predictive of healthy and abnormal behaviors, including perception, attention and motor action. In non-averaged signals, beta can emerge as transient high-power 'events'. As such, functiona...

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Main Authors: Hyeyoung Shin, Robert Law, Shawn Tsutsui, Christopher I Moore, Stephanie R Jones
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2017-11-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/29086
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author Hyeyoung Shin
Robert Law
Shawn Tsutsui
Christopher I Moore
Stephanie R Jones
author_facet Hyeyoung Shin
Robert Law
Shawn Tsutsui
Christopher I Moore
Stephanie R Jones
author_sort Hyeyoung Shin
collection DOAJ
description Beta oscillations (15-29Hz) are among the most prominent signatures of brain activity. Beta power is predictive of healthy and abnormal behaviors, including perception, attention and motor action. In non-averaged signals, beta can emerge as transient high-power 'events'. As such, functionally relevant differences in averaged power across time and trials can reflect changes in event number, power, duration, and/or frequency span. We show that functionally relevant differences in averaged beta power in primary somatosensory neocortex reflect a difference in the number of high-power beta events per trial, i.e. event rate. Further, beta events occurring close to the stimulus were more likely to impair perception. These results are consistent across detection and attention tasks in human magnetoencephalography, and in local field potentials from mice performing a detection task. These results imply that an increased propensity of beta events predicts the failure to effectively transmit information through specific neocortical representations.
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spelling doaj.art-780fb82c32754a2bba324682fb0e87a52022-12-22T02:05:13ZengeLife Sciences Publications LtdeLife2050-084X2017-11-01610.7554/eLife.29086The rate of transient beta frequency events predicts behavior across tasks and speciesHyeyoung Shin0https://orcid.org/0000-0002-7587-8577Robert Law1Shawn Tsutsui2https://orcid.org/0000-0003-3805-1519Christopher I Moore3Stephanie R Jones4https://orcid.org/0000-0001-6760-5301Department of Neuroscience, Brown University, Providence, United StatesDepartment of Neuroscience, Brown University, Providence, United States; Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, United StatesDepartment of Neuroscience, Brown University, Providence, United StatesDepartment of Neuroscience, Brown University, Providence, United StatesDepartment of Neuroscience, Brown University, Providence, United States; Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, United StatesBeta oscillations (15-29Hz) are among the most prominent signatures of brain activity. Beta power is predictive of healthy and abnormal behaviors, including perception, attention and motor action. In non-averaged signals, beta can emerge as transient high-power 'events'. As such, functionally relevant differences in averaged power across time and trials can reflect changes in event number, power, duration, and/or frequency span. We show that functionally relevant differences in averaged beta power in primary somatosensory neocortex reflect a difference in the number of high-power beta events per trial, i.e. event rate. Further, beta events occurring close to the stimulus were more likely to impair perception. These results are consistent across detection and attention tasks in human magnetoencephalography, and in local field potentials from mice performing a detection task. These results imply that an increased propensity of beta events predicts the failure to effectively transmit information through specific neocortical representations.https://elifesciences.org/articles/29086beta rhythmperceptionattentionsomatosensoryfunctional homologytransient oscillation
spellingShingle Hyeyoung Shin
Robert Law
Shawn Tsutsui
Christopher I Moore
Stephanie R Jones
The rate of transient beta frequency events predicts behavior across tasks and species
eLife
beta rhythm
perception
attention
somatosensory
functional homology
transient oscillation
title The rate of transient beta frequency events predicts behavior across tasks and species
title_full The rate of transient beta frequency events predicts behavior across tasks and species
title_fullStr The rate of transient beta frequency events predicts behavior across tasks and species
title_full_unstemmed The rate of transient beta frequency events predicts behavior across tasks and species
title_short The rate of transient beta frequency events predicts behavior across tasks and species
title_sort rate of transient beta frequency events predicts behavior across tasks and species
topic beta rhythm
perception
attention
somatosensory
functional homology
transient oscillation
url https://elifesciences.org/articles/29086
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