A weighted communicability measure applied to complex brain networks.

ABSTRACT: Recent advances in experimental neuroscience allow non-invasive studies of the white matter tracts in the human central nervous system, thus making available cutting-edge brain anatomical data describing these global connectivity patterns. Through magnetic resonance imaging, this non-invasive technique is able to infer a snapshot of the cortical network within the living human brain. Here, we report on the initial success of a new weighted network communicability measure in distinguishing local and global differences between diseased patients and controls. This approach builds on recent advances in network science, where an underlying connectivity structure is used as a means to measure the ease with which information can flow between nodes. One advantage of our method is that it deals dir

SUBMITTER: Crofts JJ 

PROVIDER: S-EPMC2658663 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature