Functional network estimation using multigraph learning with application to brain maturation study.

ABSTRACT: Although most dramatic structural changes occur in the perinatal period, a growing body of evidences demonstrates that adolescence and early adulthood are also important for substantial neurodevelopment. We were thus motivated to explore brain development during puberty by evaluating functional connectivity network (FCN) differences between childhood and young adulthood using multi-paradigm task-based functional magnetic resonance imaging (fMRI) measurements. Different from conventional multigraph based FCN construction methods where the graph network was built independently for each modality/paradigm, we proposed a multigraph learning model in this work. It promises a better fitting to FCN construction by jointly estimating brain network from multi-paradigm fMRI time series, which may sha

SUBMITTER: Wang J 

PROVIDER: S-EPMC8127152 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature