Integrating cross-frequency and within band functional networks in resting-state MEG: A multi-layer network approach

被引:91
作者
Tewarie, Prejaas [1 ]
Hillebrand, Arjan [2 ]
van Dijk, Bob W. [2 ]
Stam, Cornelis J. [2 ]
O'Neill, George C. [1 ]
Van Mieghem, Piet [3 ]
Meier, Jil M. [3 ]
Woolrich, Mark W. [4 ,5 ]
Morris, Peter G. [1 ]
Brookes, Matthew J. [1 ]
机构
[1] Univ Nottingham, Sch Phys & Astron, Sir Peter Mansfield Imaging Ctr, Nottingham, England
[2] Vrije Univ Amsterdam Med Ctr, Dept Clin Neurophysiol, MEG Ctr, Amsterdam, Netherlands
[3] Delft Univ Technol, Fac Elect Engn Math & Comp Sci, Delft, Netherlands
[4] Univ Oxford, Oxford Ctr Human Brain Act OHBA, Oxford, England
[5] Univ Oxford, Ctr Funct Magnet Resonance Imaging Brain FMRIB, Oxford, England
基金
英国医学研究理事会;
关键词
Multi-layer networks; Interconnected functional networks; Functional connectivity; Cross-frequency coupling; Magnetoencephalography; MEG; COMMUNITY STRUCTURE; CONNECTIVITY; MECHANISMS; ELECTROPHYSIOLOGY; AMPLITUDE; DYNAMICS; SPECTRA; DISEASE; MODEL; FMRI;
D O I
10.1016/j.neuroimage.2016.07.057
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Neuronal oscillations exist across a broad frequency spectrum, and are thought to provide a mechanismof interaction between spatially separated brain regions. Since ongoing mental activity necessitates the simultaneous formation of multiple networks, it seems likely that the brain employs interactions within multiple frequency bands, as well as cross-frequency coupling, to support such networks. Here, we propose a multi-layer network framework that elucidates this pan-spectral picture of network interactions. Our network consists of multiple layers (frequency-band specific networks) that influence each other via inter-layer (cross-frequency) coupling. Applying this model to MEG resting-state data and using envelope correlations as connectivity metric, we demonstrate strong dependency between within layer structure and inter-layer coupling, indicating that networks obtained in different frequency bands do not act as independent entities. More specifically, our results suggest that frequency band specific networks are characterised by a common structure seen across all layers, superimposed by layer specific connectivity, and inter-layer coupling is most strongly associated with this common mode. Finally, using a biophysical model, we demonstrate that there are two regimes of multi-layer network behaviour; one in which different layers are independent and a second in which they operate highly dependent. Results suggest that the healthy human brain operates at the transition point between these regimes, allowing for integration and segregation between layers. Overall, our observations show that a complete picture of global brain network connectivity requires integration of connectivity patterns across the full frequency spectrum. (C) 2016 Published by Elsevier Inc.
引用
收藏
页码:314 / 326
页数:13
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