Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model.

ABSTRACT: Functional connectivity (FC) between brain region has been widely studied and linked with cognition and behavior of an individual. FC is usually defined as the correlation or partial correlation of fMRI blood oxygen level-dependent (BOLD) signals between two brain regions. Although FC has been effective to understand brain organization, it cannot reveal the direction of interactions. Many directed acyclic graph (DAG) based methods have been applied to study the directed interactions but their performance was limited by the small sample size while high dimensionality of the available data. By enforcing group regularization and utilizing samples from both case and control groups, we propose a joint DAG model to estimate the directed FC. We first demonstrate that the proposed model is efficie

SUBMITTER: Zhang G 

PROVIDER: S-EPMC11573435 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature