Scale-freeness or partial synchronization in neural mass phase oscillator networks:Pick one of two?

Daffertshofer, Andreas and Ton, Robert and Pietras, Bastian and Kringelbach, Morten L. and Deco, Gustavo (2018) Scale-freeness or partial synchronization in neural mass phase oscillator networks:Pick one of two? NeuroImage, 180 (Part B). pp. 428-411. ISSN 1053-8119

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Abstract

Modeling and interpreting (partial) synchronous neural activity can be a challenge. We illustrate this by deriving the phase dynamics of two seminal neural mass models: the Wilson-Cowan firing rate model and the voltage-based Freeman model. We established that the phase dynamics of these models differed qualitatively due to an attractive coupling in the first and a repulsive coupling in the latter. Using empirical structural connectivity matrices, we determined that the two dynamics cover the functional connectivity observed in resting state activity. We further searched for two pivotal dynamical features that have been reported in many experimental studies: (1) a partial phase synchrony with a possibility of a transition towards either a desynchronized or a (fully) synchronized state; (2) long-term autocorrelations indicative of a scale-free temporal dynamics of phase synchronization. Only the Freeman phase model exhibited scale-free behavior. Its repulsive coupling, however, let the individual phases disperse and does not allow for a transition into a synchronized state. The Wilson-Cowan phase model, by contrast, could switch into a (partially) synchronized state, but it did not generate long-term correlations although being located close to the onset of synchronization, i.e. in its critical regime. That is, the phase-reduced models can display one of the two dynamical features, but not both.

Item Type: Journal Article
Journal or Publication Title: NeuroImage
Additional Information: This is the author’s version of a work that was accepted for publication in NeuroImage. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in NeuroImage, 180, Part B, 2018 DOI: 10.1016/j.neuroimage.2018.03.070
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/2800/2808
Subjects:
Departments: Faculty of Science and Technology > Physics
ID Code: 124405
Deposited By: ep_importer_pure
Deposited On: 05 Apr 2018 14:36
Refereed?: Yes
Published?: Published
Last Modified: 15 Feb 2020 06:08
URI: https://eprints.lancs.ac.uk/id/eprint/124405

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