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A mean field model for movement induced changes in the beta rhythm

Byrne, �ine; Brookes, Matthew J.; Coombes, Stephen

A mean field model for movement induced changes in the beta rhythm Thumbnail


�ine Byrne


In electrophysiological recordings of the brain, the transition from high amplitude to low amplitude signals are most likely caused by a change in the synchrony of underlying neuronal population firing patterns. Classic examples of such modulations are the strong stimulus-related oscillatory phenomena known as the movement related beta decrease (MRBD) and post-movement beta rebound (PMBR). A sharp decrease in neural oscillatory power is observed during movement (MRBD) followed by an increase above baseline on movement cessation (PMBR). MRBD and PMBR represent important neuroscientific phenomena which have been shown to have clinical relevance. Here, we present a parsimonious model for the dynamics of synchrony within a synaptically coupled spiking network that is able to replicate a human MEG power spectrogram showing the evolution from MRBD to PMBR. Importantly, the high-dimensional spiking model has an exact mean field description in terms of four ordinary differential equations that allows considerable insight to be obtained into the cause of the experimentally observed time-lag from movement termination to the onset of PMBR (~ 0.5 s), as well as the subsequent long duration of PMBR (~ 1-10 s). Our model represents the first to predict these commonly observed and robust phenomena and represents a key step in their understanding, in health and disease.

Journal Article Type Article
Acceptance Date May 31, 2017
Online Publication Date Jul 26, 2017
Publication Date Oct 1, 2017
Deposit Date Jun 1, 2017
Publicly Available Date Jul 26, 2017
Journal Journal of Computational Neuroscience
Print ISSN 0929-5313
Electronic ISSN 1573-6873
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 43
Issue 2
Keywords Post-movement beta rebound, Movement related beta decrease, Neural mass, Synchrony power spectra, Magnetoencephalography, MEG, Electroencephalography, EEG, Mean field
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