Decreased Cross-Domain Mutual Information in Schizophrenia From Dynamic Connectivity States.

ABSTRACT: The study of dynamic functional network connectivity (dFNC) has been important to understand the healthy and diseased brain. Recent developments model groups of functionally related brain structures (defined as functional domains) as entities that can send and receive information. A domain analysis starts by detecting a finite set of connectivity patterns known as domain states within each functional domain. Dynamic functional domain connectivity (DFDC) is a novel information theoretic framework for studying the temporal sequence of the domain states and the amount of information shared among domains. In this setting, the information flow among functional domains can be compared to the flow of bits among entities in a digital network. Schizophrenia is a chronic psychiatric disorder which i

SUBMITTER: Salman MS 

PROVIDER: S-EPMC6714616 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature