Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions

Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions

Understanding the electrophysiological basis of resting state networks (RSNs) in the human brain is a critical step towards elucidating how inter-areal connectivity supports healthy brain function. In recent years, the relationship between RSNs (typically measured using haemodynamic signals) and ele...

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Bibliographic Details
Main Authors: Tewarie, Prejaas K., Bright, M. G., Hillebrand, A., Robson, S. E., Gascoyne, Lauren E., Morris, P. G., Meier, J., Van Mieghem, P., Brookes, M. J.
Format: Article
Published: Elsevier 2016
Subjects:
Magnetoencephalography; MEG; Functional magnetic resonance imaging; fMRI; Functional connectivity; Resting state network; RSN; Relationship between fMRI and MEG; Mapping; Multivariate Taylor series
Online Access:https://eprints.nottingham.ac.uk/34669/

Internet

https://eprints.nottingham.ac.uk/34669/

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