The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

Over the last decade, we have observed a revolution in brain structural and functional
Connectomics. On one hand, we have an ever-more detailed characterization of the brain's …

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 …

Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …

Objective. Predicting how the brain can be driven to specific states by means of internal or
external control requires a fundamental understanding of the relationship between neural …

Abstract The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual
Information (wSMI) represent two robust and widely used methods for MEG/EEG functional …

The human brain exhibits a distinct spatiotemporal organization that supports brain function
and can be manipulated via local brain stimulation. Such perturbations to local cortical …

For more than a century, cerebral cartography has been driven by investigations of structural
and morphological properties of the brain across spatial scales and the temporal/functional …

Highlights•The phase of population oscillators underlying brain rhythms can be reset.•Phase-
resetting theory can help explain how brain rhythms phase-lock.•Phase-locking between …

Spontaneous brain activity at rest is spatially and temporally organized in networks of
cortical and subcortical regions specialized for different functional domains. Even though …