Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Neuronal oscillations exist across a broad frequency spectrum, and are thought to provide a mechanism of interaction beten 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 ll as cross-frequency coupling, to support such networks. Here,  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,  demonstrate strong dependency beten 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,  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 beten these regimes, allowing for integration and segregation beten layers. Overall, our observations show that a complete picture of global brain network connectivity requires integration of connectivity patterns across the full frequency spectrum.
['Prejaas Tewarie', 'Arjan Hillebrand', 'B.W. van Dijk', 'C.J. Stam', "George C. O'Neill", 'P. Van Mieghem', 'J. Meier', 'Mark W. Woolrich', 'Peter G. Morris', 'Matthew J. Brookes']
I am writing a research paper on a idea Integrating cross-frequency and within band functional networks in resting-state MEG: A multi-layer network approach.
[{"from": "human", "value": "I am writing a research paper on a idea Integrating cross-frequency and within band functional networks in resting-state MEG: A multi-layer network approach."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Neuronal oscillations exist across a broad frequency spectrum, and are thought to provide a mechanism of interaction beten 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 ll as cross-frequency coupling, to support such networks. Here,  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,  demonstrate strong dependency beten 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,  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 beten these regimes, allowing for integration and segregation beten layers. Overall, our observations show that a complete picture of global brain network connectivity requires integration of connectivity patterns across the full frequency spectrum."}]