Format

Send to

Choose Destination
See comment in PubMed Commons below
Neuroimage. 2011 Jun 1;56(3):1035-42. doi: 10.1016/j.neuroimage.2011.03.010. Epub 2011 Mar 17.

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

Author information

1
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.

Abstract

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 and medial visual, auditory, and sensory-motor) RSNs and four cognitive (default-mode, self-referential, dorsal and ventral attention) RSNs were identified. Gaussian Bayesian network (BN) learning approach was then used for the examination of the conditional dependencies among these RSNs and the construction of the network-to-network directional connectivity patterns. The BN based results demonstrated that sensory networks and cognitive networks were hierarchically organized. Specially, we found the sensory networks were highly intra-dependent and the cognitive networks were strongly intra-influenced. In addition, the results depicted dominant bottom-up connectivity from sensory networks to cognitive networks in which the self-referential and the default-mode networks might play respectively important roles in the process of resting-state information transfer and integration. The present study characterized the global connectivity relations among RSNs and delineated more characteristics of spontaneous activity dynamics.

PMID:
21396456
PMCID:
PMC3319766
DOI:
10.1016/j.neuroimage.2011.03.010
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Support Center