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Tracking dynamic brain networks using high temporal resolution MEG measures of functional connectivity., , , , , , , , and . NeuroImage, (2019)Functional brain network analysis using minimum spanning trees in Multiple Sclerosis: An MEG source-space study., , , , , , , and . NeuroImage, (2014)Predicting haemodynamic networks using electrophysiology: The role of non-linear and cross-frequency interactions., , , , , , , , and . NeuroImage, (2016)Practical constraints on estimation of source extent with MEG beamformers., and . NeuroImage, 54 (4): 2732-2740 (2011)Population-level inferences for distributed MEG source localization under multiple constraints: Application to face-evoked fields., , , , , and . NeuroImage, 38 (3): 422-438 (2007)The temporal frequency tuning of human visual cortex investigated using synthetic aperture magnetometry., , , and . NeuroImage, 21 (4): 1542-1553 (2004)An EEG-Based Biometric System Using Eigenvector Centrality in Resting State Brain Networks., , , , and . IEEE Signal Process. Lett., 22 (6): 666-670 (2015)Brain Network Integration in Patients with Migraine: A Magnetoencephalography Study., , , , , , and . Brain Connect., 10 (5): 224-235 (2020)Local polymorphic delta activity in cortical lesions causes global decreases in functional connectivity., , , , , and . NeuroImage, (2013)The minimum spanning tree: An unbiased method for brain network analysis., , , and . NeuroImage, (2015)