Using Pareto optimality to explore the topology and dynamics of the human connectome.

ABSTRACT: Graph theory has provided a key mathematical framework to analyse the architecture of human brain networks. This architecture embodies an inherently complex relationship between connection topology, the spatial arrangement of network elements, and the resulting network cost and functional performance. An exploration of these interacting factors and driving forces may reveal salient network features that are critically important for shaping and constraining the brain's topological organization and its evolvability. Several studies have pointed to an economic balance between network cost and network efficiency with networks organized in an 'economical' small-world favouring high communication efficiency at a low wiring cost. In this study, we define and explore a network morphospace in order

SUBMITTER: Avena-Koenigsberger A 

PROVIDER: S-EPMC4150305 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature