Linking local and large-scale salient events with oscillatory and broadband arrhythmic activities in the resting human brain

Auteurs

Dellavale D, Lopez ET, Romano A, Rabuffo G, Sorrentino P

Les auteurs en lien sont membres de l'INS.

Équipes

TNG

Résumé

Abstract Narrowband oscillations (NOs) and broadband arrhythmic activity (BAA) are valuable conceptualizations extensively used to interpret brain data, with NOs linked to communication and synchronization and BAA encompassing scale-free dynamics and neuronal avalanches. Although both frameworks offer critical insights into brain function, they have largely evolved in parallel, with limited integration and no unifying mechanistic account of how these dynamics interact to generate transient, salient events (SEs). This gap is particularly pressing given recent interest in how SEs—brief (≈100 ms) bursts of activity coordinated across brain regions—relate to large-scale brain function and cognition. To address this, we introduce a signal-level framework that links the Fourier spectral properties (oscillation-domain) of neural signals to the emergence of realistic SEs in the time-domain from NOs and BAA. Our approach is grounded in a novel concept—spectral group delay consistency (SGDC)—along with associated measures that quantify the temporal alignment of spectral components and capture the conditions under which NOs and BAA coalesce into transient, burst-like events. Unlike traditiona

Abstract Narrowband oscillations (NOs) and broadband arrhythmic activity (BAA) are valuable conceptualizations extensively used to interpret brain data, with NOs linked to communication and synchronization and BAA encompassing scale-free dynamics and neuronal avalanches. Although both frameworks offer critical insights into brain function, they have largely evolved in parallel, with limited integration and no unifying mechanistic account of how these dynamics interact to generate transient, salient events (SEs). This gap is particularly pressing given recent interest in how SEs—brief (≈100 ms) bursts of activity coordinated across brain regions—relate to large-scale brain function and cognition. To address this, we introduce a signal-level framework that links the Fourier spectral properties (oscillation-domain) of neural signals to the emergence of realistic SEs in the time-domain from NOs and BAA. Our approach is grounded in a novel concept—spectral group delay consistency (SGDC)—along with associated measures that quantify the temporal alignment of spectral components and capture the conditions under which NOs and BAA coalesce into transient, burst-like events. Unlike traditiona

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