Atomic dynamic functional interaction patterns for characterization of ADHD.

ABSTRACT: Modeling abnormal temporal dynamics of functional interactions in psychiatric disorders has been of great interest in the neuroimaging field, and thus a variety of methods have been proposed so far. However, the temporal dynamics and disease-related abnormalities of functional interactions within specific data-driven discovered subnetworks have been rarely explored yet. In this work, we propose a novel computational framework composed of an effective Bayesian connectivity change point model for modeling functional brain interactions and their dynamics simultaneously and an effective variant of nonnegative matrix factorization for assessing the functional interaction abnormalities within subnetworks. This framework has been applied on the resting state fmagnetic resonance imaging (fMRI) dat

SUBMITTER: Ou J 

PROVIDER: S-EPMC6869011 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature