Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study

• Published in: NeuroImage (Orlando, Fla.) Vol. 56; no. 3; pp. 1035 - 1042
• Main Authors: Li, Rui, Chen, Kewei, Fleisher, Adam S., Reiman, Eric M., Yao, Li, Wu, Xia
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.06.2011; Elsevier Limited
• Subjects: Afferent Pathways - physiology; Attention; Auditory Pathways - physiology; Bayes Theorem; Bayesian network; Brain - anatomy & histology; Brain - physiology; Chinese languages; Cognition & reasoning; Cognition - physiology; Connectivity; Data Interpretation, Statistical; Echo-Planar Imaging - statistics & numerical data; Efferent Pathways - physiology; Female; fMRI; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Male; Models, Neurological; Models, Statistical; Nerve Net - physiology; Neural Pathways - anatomy & histology; Neural Pathways - physiology; NMR; Normal Distribution; Nuclear magnetic resonance; Regression Analysis; Resting-state network; Spontaneous activity; Studies; Visual Pathways - physiology; Young Adult; fMRI; Connectivity; Resting-state network; Bayesian network; Spontaneous activity

This study examined the large-scale connectivity among multiple resting-state networks (RSNs) in the human brain. Independent component analysis was first applied to the resting-state functional MRI (fMRI) data acquired from 12 healthy young subjects for the separation of RSNs. Four sensory (lateral...