Magnetoencephalography has gained an increasing importance in systems neuroscience
thanks to the possibility it offers of unraveling brain networks at time-scales relevant to …

Neuronal oscillations exist across a broad frequency spectrum, and are thought to provide a
mechanism of interaction between spatially separated brain regions. Since ongoing mental …

The phase slope index (PSI) is a method to disclose the direction of frequency-specific
neural interactions from magnetoencephalographic (MEG) time series. A fundamental …

Determining the dynamics of functional connectivity is critical for understanding the brain.
Recent functional magnetic resonance imaging (fMRI) studies demonstrate that measuring …

Efficient neuronal communication between brain regions through oscillatory synchronization
at certain frequencies is necessary for cognition. Such synchronized networks are transient …

Spontaneous (or resting-state) brain activity has attracted a growing body of neuroimaging
research over the last decades. Whole-brain network models have proved helpful to …

Magnetoencephalographic (MEG) investigations of inter‐regional amplitude correlations
have yielded new insights into the organization and neurophysiology of resting‐state …

The discovery of a stable, whole-brain functional connectivity organization that is largely
independent of external events has drastically extended our view of human brain function …

We use a neural mass model to address some important issues in characterising functional
integration among remote cortical areas using magnetoencephalography or …

Frequency-specific oscillations and phase-coupling of neuronal populations are essential
mechanisms for the coordination of activity between brain areas during cognitive tasks …