Skip to main content

Research Repository

Advanced Search

Interlayer connectivity reconstruction for multilayer brain networks using phase oscillator models

Interlayer connectivity reconstruction for multilayer brain networks using phase oscillator models Thumbnail


Prejaas Tewarie

Bastian Prasse

Jil M. Meier


Manlio De Domenico

Cornelis Jan (Kees) Stam

Arjan Hillebrand

Andreas Daffertshofer

Piet Van Mieghem


Large-scale neurophysiological networks are often reconstructed from band-pass filtered time series derived from magnetoencephalography (MEG) data. Common practice is to reconstruct these networks separately for different frequency bands and to treat them independently. Recent evidence suggests that this separation may be inadequate, as there can be significant coupling between frequency bands (interlayer connectivity). A multilayer network approach offers a solution to analyze frequency-specific networks in one framework. We propose to use a recently developed network reconstruction method in conjunction with phase oscillator models to estimate interlayer connectivity that optimally fits the empirical data. This approach determines interlayer connectivity based on observed frequency-specific time series of the phase and a connectome derived from diffusion weighted imaging. The performance of this interlayer reconstruction method was evaluated in-silico. Our reconstruction of the underlying interlayer connectivity agreed to very high degree with the ground truth. Subsequently, we applied our method to empirical resting-state MEG data obtained from healthy subjects and reconstructed two-layered networks consisting of either alpha-to-beta or theta-to-gamma band connectivity. Our analysis revealed that interlayer connectivity is dominated by a multiplex structure, i.e. by one-to-one interactions for both alpha-to-beta band and theta-to-gamma band networks. For theta-gamma band networks, we also found a plenitude of interlayer connections between distant nodes, though weaker connectivity relative to the one-to-one connections. Our work is an stepping stone towards the identification of interdependencies across frequency-specific networks. Our results lay the ground for the use of the promising multilayer framework in this field with more-informed and justified interlayer connections.


Tewarie, P., Prasse, B., Meier, J. M., Byrne, Á., De Domenico, M., Stam, C. J. (., …Van Mieghem, P. (2021). Interlayer connectivity reconstruction for multilayer brain networks using phase oscillator models. New Journal of Physics, 23(6), Article 063065.

Journal Article Type Article
Acceptance Date May 28, 2021
Online Publication Date May 28, 2021
Publication Date Jun 1, 2021
Deposit Date Jun 10, 2021
Publicly Available Date Jun 10, 2021
Journal New Journal of Physics
Electronic ISSN 1367-2630
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 23
Issue 6
Article Number 063065
Keywords General Physics and Astronomy
Public URL
Publisher URL


You might also like

Downloadable Citations