Dynamic effective connectivity

• Published in: NeuroImage (Orlando, Fla.) Vol. 207; p. 116453
• Main Authors: Zarghami, Tahereh S., Friston, Karl J.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.02.2020; Elsevier Limited; Elsevier
• Subjects: Bayesian; Bayesian analysis; Between-subjects design; Brain - physiology; Brain architecture; Brain mapping; Brain research; Connectome - methods; Dynamic causal modelling; Dynamic functional connectivity; Effective connectivity; fMRI; Free energy; Functional magnetic resonance imaging; Hidden Markov model; Humans; Image Processing, Computer-Assisted - methods; Inverse problems; Itinerancy; Mathematical models; Medical imaging; Metastability; Models, Neurological; Nerve Net - physiology; Neural networks; Neural Pathways - physiology; Reproducibility of Results; Rest - physiology; Resting state; Spectral DCM; Stable heteroclinic cycle; System theory; Transient dynamics; Bayesian; Itinerancy; Free energy; Dynamic causal modelling; Metastability; Transient dynamics; fMRI; Stable heteroclinic cycle; Resting state; Hidden Markov model; Dynamic functional connectivity; Spectral DCM; Effective connectivity

Metastability is a key source of itinerant dynamics in the brain; namely, spontaneous spatiotemporal reorganization of neuronal activity. This itinerancy has been the focus of numerous dynamic functional connectivity (DFC) analyses – developed to characterize the formation and dissolution of distrib...