The rate of transient beta frequency events predicts behavior across tasks and species
Year: 2017
Type: article
Abstract: 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.
Source: eLife
DOI: 10.7554/elife.29086
Authors: Hyeyoung Shin, Robert Law, Shawn Tsutsui, Christopher I. Moore, Stephanie R. Jones
Institutions: Brown University, Providence VA Medical Center
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,500
Funders: National Science Foundation, U.S. Department of Veterans Affairs, Office of Research and Development, Fulbright Association, Rehabilitation Research and Development Service, Brown Institute for Brain Science, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
OpenAlex ID: W2767814366
