Marcia Grabowecky

The paper investigates spontaneous anterior-posterior oscillation-frequency convergences in the alpha band during rest with eyes open or closed, revealing three key characteristics of these convergences.

The paper shows peak-alpha frequency forms a posterior-to-anterior gradient that dynamically switches between gradient and uniform states, controlled by two distinct mechanisms.

The paper identifies an anterior-posterior network that controls global phase modularity in EEG data across different behavioral conditions and frequency ranges.

The paper investigates how visual speech modulates different frequency bands in auditory cortex, revealing distinct temporal and spatial patterns across theta, beta, and high-gamma bands.

The paper examines spatiotemporal dynamics of EEG spectral power, identifying small-scale and large-scale synchronization and desynchronization patterns across different frequency bands.

The paper models neural synchronization dynamics using a probabilistic framework, finding that entropy-maximizing adjustments of synchronization probability control large-scale neural oscillations across multiple conditions.

The paper analyzes EEG spatiotemporal dynamics by extracting state-trajectory instability and speed to identify global rules governing intrinsic neural dynamics.

The paper examines cross-frequency dynamics in EEG data, revealing distinct patterns of spectral-power associations on sub-second and seconds timescales, with implications for local and long-distance neural interactions.

The paper investigates the neural, functional, and aesthetic effects of spatially heterogeneous flicker, finding that it reduces posterior EEG beta power and is linked to aesthetic responses.