Small Worldness in Dense and Weighted Connectomes.

ABSTRACT: The human brain is a heterogeneous network of connected functional regions; however, most brain network studies assume that all brain connections can be described in a framework of binary connections. The brain is a complex structure of white matter tracts connected by a wide range of tract sizes, which suggests a broad range of connection strengths. Therefore, the assumption that the connections are binary yields an incomplete picture of the brain. Various thresholding methods have been used to remove spurious connections and reduce the graph density in binary networks. But these thresholds are arbitrary and make problematic the comparison of networks created at different thresholds. The heterogeneity of connection strengths can be represented in graph theory by applying weights to the ne

SUBMITTER: Colon-Perez LM 

PROVIDER: S-EPMC4963163 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature