2016
DOI: 10.1073/pnas.1604135113
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Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice

Abstract: Human neocortical 15-29-Hz beta oscillations are strong predictors of perceptual and motor performance. However, the mechanistic origin of beta in vivo is unknown, hindering understanding of its functional role. Combining human magnetoencephalography (MEG), computational modeling, and laminar recordings in animals, we present a new theory that accounts for the origin of spontaneous neocortical beta. In our MEG data, spontaneous beta activity from somatosensory and frontal cortex emerged as noncontinuous beta e… Show more

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Cited by 415 publications
(581 citation statements)
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“…Additionally, the observed temporal dynamics of sharp waveforms and nested oscillations imply that both mechanisms must occur in concert for successful memory. Importantly, this confirmation of distinct neural mechanisms in human cortex as measured with PAC adds evidence to the emerging field of waveform based inference on the neurophysiological mechanisms underlying iEEG (Sherman et al, 2016; Gerber et al, 2016; Cole et al, 2016). …”
Section: Discussionsupporting
confidence: 55%
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“…Additionally, the observed temporal dynamics of sharp waveforms and nested oscillations imply that both mechanisms must occur in concert for successful memory. Importantly, this confirmation of distinct neural mechanisms in human cortex as measured with PAC adds evidence to the emerging field of waveform based inference on the neurophysiological mechanisms underlying iEEG (Sherman et al, 2016; Gerber et al, 2016; Cole et al, 2016). …”
Section: Discussionsupporting
confidence: 55%
“…Conversely, sharp deflections in the iEEG waveform may reflect synchrony of synaptic bursts (Sherman et al, 2016). Phase-locked repetition of these deflections may therefore entrain neural activity to a single rhythm in the temporal lobe.…”
Section: Discussionmentioning
confidence: 99%
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“…21 in animals (Lundqvist et al, 2016), and that such bursts are associated with memory encoding and decoding (Sherman et al, 2016). Overall, such findings indicate that there is ample evidence that brain activity is parceled into blocks of stable activity patterns that last roughly 100 ms, similar to EEG microstates.…”
Section: Accepted Manuscriptmentioning
confidence: 83%
“…As beta oscillations occur in transient bursts and only show elevated power for trial averages (Sherman et al, 2016), it is possible that movement encoding during bursts is compromised, but outside of bursts is intact. Further, not all cells engage in beta oscillatory events (Murthy and Fetz, 1996a), making it possible that some cells are still encoding movement information during ongoing oscillations (Reimer and Hatsopoulos, 2010).…”
Section: Discussionmentioning
confidence: 99%