Data for Shared spatial and temporal principles govern connectome dynamics across timescales

This repository contains derived neuroimaging data used to investigate multi-timescale functional connectome dynamics across concurrent EEG-fMRI and independent validation datasets. The primary dataset consists of resting-state simultaneous EEG-fMRI recordings from 26 healthy adults, each completing multiple runs. Functional MRI data were preprocessed and parcellated into 68 cortical regions using the Desikan–Killiany atlas, while EEG data were source-localized and summarized within the same parcellation framework to enable cross-modal integration. The shared data include preprocessed regional time series representing whole-brain activity across modalities and timescales. For fMRI, these correspond to band-pass filtered BOLD signals. For EEG, they include amplitude envelope time series across canonical frequency bands (δ, θ, α, β, γ), derived from source-space signals. Time series are concatenated across runs within subjects and organized by dataset (Primary, Validation I, Validation II), modality, and frequency band. To ensure reproducibility while respecting data-sharing constraints, only derived (preprocessed) regional time series are provided.

This dataset contains amplitude envelope data from 26 subjects across five canonical frequency bands. The data are provided in MATLAB .mat format.