Origins of resting-state rhythmic activity: local oscillators vs network synchrony

Determine which components of human resting-state rhythmic activity measured with EEG/MEG arise from individual local oscillators versus synchronised network-level activity between brain areas, and develop criteria to distinguish these contributions.

Background

Resting-state brain activity exhibits structured spectral "fingerprints" and gradients across cortex. These may reflect local oscillators and/or large-scale synchronised networks, but the relative contributions remain unresolved.

Disentangling local versus network origins is essential for interpreting spectral fingerprints, understanding cortical organization, and linking resting rhythms to cognition and pathology.