The rate of transient beta frequency events predicts impaired function across tasks and species
| Autor: | Robert Law, Stephanie R. Jones, Hyeyoung Shin, Shawn Tsutsui, Christopher I Moore |
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| Rok vydání: | 2017 |
| Předmět: |
0303 health sciences
Neocortex medicine.diagnostic_test Brain activity and meditation media_common.quotation_subject Sensory system Local field potential Magnetoencephalography Biology Stimulus (physiology) 03 medical and health sciences 0302 clinical medicine Rhythm medicine.anatomical_structure Perception medicine Neuroscience 030217 neurology & neurosurgery 030304 developmental biology media_common |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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