Hierarchical organization of functional connectivity in the mouse brain: a complex network approach.

ABSTRACT: This paper represents a contribution to the study of the brain functional connectivity from the perspective of complex networks theory. More specifically, we apply graph theoretical analyses to provide evidence of the modular structure of the mouse brain and to shed light on its hierarchical organization. We propose a novel percolation analysis and we apply our approach to the analysis of a resting-state functional MRI data set from 41 mice. This approach reveals a robust hierarchical structure of modules persistent across different subjects. Importantly, we test this approach against a statistical benchmark (or null model) which constrains only the distributions of empirical correlations. Our results unambiguously show that the hierarchical character of the mouse brain modular structure i

SUBMITTER: Bardella G 

PROVIDER: S-EPMC4989195 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature