Ángel Luis Guerrero Peral

This paper introduces a data-driven method to automatically identify frequency bands in neural signals based on network topology, showing better individual adaptation than classical approaches.

This study compares AMURA and DTI diffusion measures in migraine patients and controls, finding AMURA detects more regions and shows better discriminative power despite lower stability.