Resting-State Brain Functional Hyper-Network Construction Based on Elastic Net and Group Lasso Methods.

ABSTRACT: Brain network analysis has been widely applied in neuroimaging studies. A hyper-network construction method was previously proposed to characterize the high-order relationships among multiple brain regions, where every edge is connected to more than two brain regions and can be represented by a hyper-graph. A brain functional hyper-network is constructed by a sparse linear regression model using resting-state functional magnetic resonance imaging (fMRI) time series, which in previous studies has been solved by the lasso method. Despite its successful application in many studies, the lasso method has some limitations, including an inability to explain the grouping effect. That is, using the lasso method may cause relevant brain regions be missed in selecting related regions. Ideally, a hype

SUBMITTER: Guo H 

PROVIDER: S-EPMC5962886 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature