A Paradigm for Longitudinal Complex Network Analysis over Patient Cohorts in Neuroscience.

ABSTRACT: The study of complex brain networks, where structural or functional connections are evaluated to create an interconnected representation of the brain, has grown tremendously over the past decade. Much of the statistical network science tools for analyzing brain networks have been developed for cross-sectional studies and for the analysis of static networks. However, with both an increase in longitudinal study designs, as well as an increased interest in the neurological network changes that occur during the progression of a disease, sophisticated methods for longitudinal brain network analysis are needed. We propose a paradigm for longitudinal brain network analysis over patient cohorts, with the key challenge being the adaptation of Stochastic Actor-Oriented Models (SAOMs) to the neurosci

SUBMITTER: Shappell H 

PROVIDER: S-EPMC7731975 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature