Matthew J. Brookes

TL;DR: This paper describes a means to characterize resting state brain networks independently using magnetoencephalography (MEG), a neuroimaging modality that bypasses the hemodynamic response and measures the magnetic fields associated with electrophysiological brain activity, and results in RSNs with significant similarity in their spatial structure compared with R SNs derived independently using fMRI.

TL;DR: A magnetoencephalography system that can be worn like a helmet, allowing free and natural movement during scanning, with myriad applications such as characterization of the neurodevelopmental connectome, imaging subjects moving naturally in a virtual environment and investigating the pathophysiology of movement disorders.

TL;DR: Transient brain states with spatial topographies similar to those of well-known resting state networks are revealed, demonstrating that within-network functional connectivity is underpinned by coordinated neuronal dynamics that fluctuate much more rapidly than has previously been shown.

TL;DR: The results extend those from previous studies and add weight to the argument that neural oscillations are intimately related to functional connectivity and the BOLD response and allow the potential to move beyond what is possible using fcMRI, and investigate the nature of electrodynamic connectivity.

TL;DR: The extent to which many popular measures of stationary connectivity are suitable for use in resting-state MEG is investigated, localising magnetic sources with a scalar beamformer and finding the most consistent methods for stationary connectivity estimation are simple amplitude envelope correlation and partial correlation measures.