Stability of graph theoretical measures in structural brain networks in Alzheimer's disease.

ABSTRACT: Graph analysis has become a popular approach to study structural brain networks in neurodegenerative disorders such as Alzheimer's disease (AD). However, reported results across similar studies are often not consistent. In this paper we investigated the stability of the graph analysis measures clustering, path length, global efficiency and transitivity in a cohort of AD (N = 293) and control subjects (N = 293). More specifically, we studied the effect that group size and composition, choice of neuroanatomical atlas, and choice of cortical measure (thickness or volume) have on binary and weighted network properties and relate them to the magnitude of the differences between groups of AD and control subjects. Our results showed that specific group composition heavily influenced the network p

SUBMITTER: Martensson G 

PROVIDER: S-EPMC6072788 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature