The human brain imaging community is increasingly adopting connectivistic views for many more
complex psychobiological processes. Electroencephalographic (EEG) and
Magnetoencephalographic (MEG) signals directly result from temporally coherent neural activity,
and naturally distinguish processes organized in time and frequency. However, the physics of
these signals can entail possible fallacies in the connectivity analysis, which must be avoided. This
full-day educational course will give a comprehensive overview on the current state-of-the-art of
analysis of EEG- and MEG-based connectivity. After introducing the physical background of EEG
and MEG signals and the currently available models for source imaging and signal decomposition,
we will present the established methods and emerging views to come to integral and multiscale
accounts of brain functional connectivity within and across measurement modalities, such as
cross-frequency interactions and scale-free dynamics. Particular care will be taken to make the
audience aware of their possibilities to employ robust and state-of-the-art connectivity methods
for basic and clinical applications.