A mixed-modeling framework for whole-brain dynamic network analysis.

ABSTRACT: The emerging area of dynamic brain network analysis has gained considerable attention in recent years. However, development of multivariate statistical frameworks that allow for examining the associations between phenotypic traits and dynamic patterns of system-level properties of the brain, and drawing statistical inference about such associations, has largely lagged behind. To address this need we developed a mixed-modeling framework that allows for assessing the relationship between any desired phenotype and dynamic patterns of whole-brain connectivity and topology. This novel framework also allows for simulating dynamic brain networks with respect to desired covariates. Unlike current tools, which largely use data-driven methods, our model-based method enables aligning neuroscientific

SUBMITTER: Bahrami M 

PROVIDER: S-EPMC9208000 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature