Brain Structural and Functional Representation Based on the Local Global Graph Methodology

Abstract

This paper presents a novel graph-based methodology for development of structural and functional brain graphs. Using data from non-invasive neuroimaging modalities, such as MRI, fMRI and EEG, graphs that represent the brain architecture and functionality, are generated. Graph theory-based analysis has been applied with great success for studying the brain's connectivity, organization and dynamics. Towards this direction the presented Local Global (LG) graph methodology combines the local-regional information to compose a global topological representation.