RT Journal Article
SR Electronic
T1 The rate of transient beta frequency events predicts impaired function across tasks and species
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 128769
DO 10.1101/128769
A1 Hyeyoung Shin
A1 Robert Law
A1 Shawn Tsutsui
A1 Christopher I. Moore
A1 Stephanie R. Jones
YR 2017
UL http://biorxiv.org/content/early/2017/04/20/128769.abstract
AB Beta frequency oscillations (15-29Hz) are among the most prominent signatures of brain activity. Beta power is predictive of many healthy and abnormal behaviors, including perception, attention and motor action. Recent evidence shows that 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 accumulated changes in the number, power, duration, and/or frequency span of the events. We show for the first time that functionally relevant differences in averaged prestimulus beta power in human sensory neocortex reflects a difference in the number of high-power beta events per trial, i.e., the rate of events. Further, high power beta events close to the time of the stimulus were more likely to impair perception. This result is consistent across detection and attention tasks in human magnetoencephalography (MEG) and is conserved in local field potential (LFP) recordings of mice performing a detection task. Our findings suggest transient brain rhythms are best viewed as a “rate metric” in their impact on function, and provides a new framework for understanding and manipulating functionally relevant rhythmic events.