title: [The Granger causality models and their applications in brain effective connectivity networks].
abstract: Granger causality model is an analysis method that requires no priori knowledge and emphasizes time sequence. Such model applied to brain effective connectivity network can reflect the directional connectivity among brain regions or neurons. This paper reviews the principle of Granger causality model, basic test steps and improved models, analyzes and discusses applications and existing problems of Granger causality model in brain effective connectivity network.
authors.forename: Tiezhu
authors.initials: T
authors.lastname: Zhao
authors.forename: Gang
authors.initials: G
authors.lastname: Zheng
authors.forename: Zhiying
authors.initials: Z
authors.lastname: Pan
authors.forename: Qiang
authors.initials: Q
authors.lastname: Li
authors.forename: Li
authors.initials: L
authors.lastname: Wang
authors.forename: Guangming
authors.initials: G
authors.lastname: Lu
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology