Publisher Summary This chapter discusses a source reconstruction approach, beamforming,
which was only recently introduced to electroencephalography (EEG) and …

Adult cognitive neuroscience employs a wide variety of techniques to investigate a broad
range of behavioral and cognitive functions. One prominent area of study is that of executive …

To provide an effective substrate for cognitive processes, functional brain networks should
be able to reorganize and coordinate on a sub-second temporal scale. We used …

Functional connectivity (FC) between brain regions is thought to be central to the way in
which the brain processes information. Abnormal connectivity is thought to be implicated in a …

Modelling the interactions that arise from neural dynamics in seizure genesis is challenging
but important in the effort to improve the success of epilepsy surgery. Dynamical network …

The spatiotemporal dynamics of cortical oscillations across human brain regions remain
poorly understood because of a lack of adequately validated methods for reconstructing …

In recent years, the use of beamformers for source localisation has significantly improved the
spatial accuracy of magnetoencephalography. In this paper, we examine techniques by …

Recently, we introduced a new 'GLM-beamformer'technique for MEG analysis that enables
accurate localisation of both phase-locked and non-phase-locked neuromagnetic effects …

A novel framework for analysing task-positive data in magnetoencephalography (MEG) is
presented that can identify task-related networks. Techniques that combine beamforming …

This article proposes a Bayesian spatio-temporal model for source reconstruction of M/EEG
data. The usual two-level probabilistic model implicit in most distributed source solutions is …