From Synthetic BOLD to Resting-State fMRI: A Comprehensive Validation of Weighted Permutation Entropy for Characterizing Cortical Complexity

This dataset contains the complete computational and empirical results supporting the study: "From Synthetic BOLD to Resting-State fMRI: A Comprehensive Validation of Weighted Permutation Entropy for Characterizing Cortical Complexity". The dataset includes: - Synthetic BOLD simulations across canonical dynamical systems (Lorenz, Rössler, AR processes, noise models)- Validation experiments assessing complexity hierarchy, noise robustness, convergence, and parameter sensitivity- Outputs from a realistic hemodynamic BOLD pipeline (TR = 2s)- Empirical results from resting-state fMRI data (ABIDE I dataset, n=284 subjects)- Summary statistics, linear mixed model results, and processed outputs used in the manuscript- Supplementary materials and intermediate representations All simulations were performed with fixed parameters (m=4, tau=15) and seed=42 to ensure full reproducibility. The corresponding analysis code is available at:https://github.com/GR-Neurociencia/ordinal-fmri-validation