Individual Differences in Dynamic Functional Brain Connectivity across the Human Lifespan.

ABSTRACT: Individual differences in brain functional networks may be related to complex personal identifiers, including health, age, and ability. Dynamic network theory has been used to identify properties of dynamic brain function from fMRI data, but the majority of analyses and findings remain at the level of the group. Here, we apply hypergraph analysis, a method from dynamic network theory, to quantify individual differences in brain functional dynamics. Using a summary metric derived from the hypergraph formalism-hypergraph cardinality-we investigate individual variations in two separate, complementary data sets. The first data set ("multi-task") consists of 77 individuals engaging in four consecutive cognitive tasks. We observe that hypergraph cardinality exhibits variation across individuals

SUBMITTER: Davison EN 

PROVIDER: S-EPMC5120784 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature