Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data

During rest, envelopes of band-limited on-going MEG signals co-vary across the brain in consistent patterns, which have been related to resting-state networks measured with fMRI. To investigate the genesis of such envelope correlations, we consider a whole-brain network model assuming two distinct f...

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Bibliographic Details
Published in:NeuroImage (Orlando, Fla.) Fla.), 2017-05, Vol.152, p.538-550
Main Authors: Deco, Gustavo, Cabral, Joana, Woolrich, Mark W., Stevner, Angus B.A., van Hartevelt, Tim J., Kringelbach, Morten L.
Format: Article
Language:English
Subjects:
Adult
Banded structure
Brain
Brain - physiology
Brain mapping
Brain Waves
Carrier frequencies
Computer simulation
Diagnòstic per la imatge
Diffusion Tensor Imaging
Dynamic stability
Envelopes
Female
Fourier transforms
Frequency generators
Functional magnetic resonance imaging
Hopf bifurcation
Humans
Magnetoencephalography
Male
Models, Neurological
Network topologies
Neural Pathways - physiology
Neurons
Oscillations
Signal Processing, Computer-Assisted
Sistema nerviós
Young Adult
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Summary:During rest, envelopes of band-limited on-going MEG signals co-vary across the brain in consistent patterns, which have been related to resting-state networks measured with fMRI. To investigate the genesis of such envelope correlations, we consider a whole-brain network model assuming two distinct fundamental scenarios: one where each brain area generates oscillations in a single frequency, and a novel one where each brain area can generate oscillations in multiple frequency bands. The models share, as a common generator of damped oscillations, the normal form of a supercritical Hopf bifurcation operating at the critical border between the steady state and the oscillatory regime. The envelopes of the simulated signals are compared with empirical MEG data using new methods to analyse the envelope dynamics in terms of their phase coherence and stability across the spectrum of carrier frequencies. Considering the whole-brain model with a single frequency generator in each brain area, we obtain the best fit with the empirical MEG data when the fundamental frequency is tuned at 12Hz. However, when multiple frequency generators are placed at each local brain area, we obtain an improved fit of the spatio-temporal structure of on-going MEG data across all frequency bands. Our results indicate that the brain is likely to operate on multiple frequency channels during rest, introducing a novel dimension for future models of large-scale brain activity. •Resting-state MEG reveals correlated amplitude envelopes between brain areas.•Envelope functional connectivity spans a range of carrier frequencies.•Local emergence of carrier oscillations modeled with a Hopf bifurcation model.•Each brain area may resonate at one or multiple fundamental frequencies.•Multiple resonant frequencies outperform the single frequency scenario. [Display omitted]
ISSN:1053-8119
1095-9572
DOI:10.1016/j.neuroimage.2017.03.023