For several years it has been argued that neural synchronisation is crucial for cognition. The
idea that synchronised temporal patterns between different neural groups carries …

Background Magnetoencephalography (MEG) is an established method used to detect and
localize focal interictal epileptiform discharges (IEDs). Current MEG systems house …

MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …

Background: Modern Elekta Neuromag MEG devices include 102 sensor triplets containing
one magnetometer and two planar gradiometers. The first processing step is often a signal …

The characterisation of dynamic electrophysiological brain networks, which form and
dissolve in order to support ongoing cognitive function, is one of the most important goals in …

Magnetoencephalography (MEG) has been used in conjunction with resting-state functional
connectivity (rsFC) based on band-limited power envelope correlation to study the intrinsic …

In multitalker backgrounds, the auditory cortex of adult humans tracks the attended speech
stream rather than the global auditory scene. Still, it is unknown whether such preferential …

The pathophysiology of cognitive dysfunction in multiple sclerosis (MS) is still unclear. This
magnetoencephalography (MEG) study investigates the impact of MS on brain resting‐state …

Accurate EEG source localization is crucial for map** resting-state network dynamics and
it plays a key role in estimating source-level functional connectivity. However, EEG source …

Background Non-invasive in vivo neurophysiological recordings with EEG/MEG are key to
the diagnosis, classification, and further understanding of epilepsy. Historically the emphasis …