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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683757/ https://www.ncbi.nlm.nih.gov/pubmed/29106374 http://dx.doi.org/10.7554/eLife.29086 |
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author | Shin, Hyeyoung Law, Robert Tsutsui, Shawn Moore, Christopher I Jones, Stephanie R |
author_facet | Shin, Hyeyoung Law, Robert Tsutsui, Shawn Moore, Christopher I Jones, Stephanie R |
author_sort | Shin, Hyeyoung |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-5683757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-56837572017-11-20 The rate of transient beta frequency events predicts behavior across tasks and species Shin, Hyeyoung Law, Robert Tsutsui, Shawn Moore, Christopher I Jones, Stephanie R eLife Neuroscience 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. eLife Sciences Publications, Ltd 2017-11-06 /pmc/articles/PMC5683757/ /pubmed/29106374 http://dx.doi.org/10.7554/eLife.29086 Text en http://creativecommons.org/publicdomain/zero/1.0/ http://creativecommons.org/publicdomain/zero/1.0/This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (http://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Neuroscience Shin, Hyeyoung Law, Robert Tsutsui, Shawn Moore, Christopher I Jones, Stephanie R The rate of transient beta frequency events predicts behavior across tasks and species |
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 | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683757/ https://www.ncbi.nlm.nih.gov/pubmed/29106374 http://dx.doi.org/10.7554/eLife.29086 |
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