Neurological Disorders: A Network Perspective from Dense Electroencephalography

Abstract

Introduction Most of neurological disorders are network-based diseases. The networks associated with these diseases usually involve spatially disturbed brain regions. Thus efforts were recently evolving from identifying pathological “zones” toward identifying “networks”. In a very recent review, Fornito and colleagues revealed that the identification of alterations in brain networks is one of the most promising paradigms in brain disorders research (Fornito and Bullmore, 2014; Fornito et al., 2015). So far, approaches based on graph theory have characterized the brain networks as sets of nodes connected by edges (Bullmore and Sporns, 2009). Once the nodes (brain regions) and edges (functional/structural connections between regions) are defined from neuroimaging technique, methods based on graph theory may be used to describe the topological properties of the identified networks. This network-based analysis has been largely used to investigate normal (Bressler and Menon, 2010) and pathological (Fornito et ...