Temporal and instantaneous connectivity of default mode network estimated using Gaussian Bayesian network frameworks

Neuroscience Letters
Juan LiXia Wu

Abstract

By probing its functional anatomy, the default mode network (DMN) can be considered consisting of two interacting hub and non-hub subsystems. The hub subsystem includes posterior cingulate cortex (PCC), medial prefrontal cortex (MPFC) and bilateral inferior parietal cortex (IPC). The non-hub subsystem contains inferior temporal cortex (ITC) and (para) hippocampus (HC). In this study, Gaussian Bayesian Network (BN) and Gaussian Dynamic Bayesian Network (DBN) were applied separately to detect the instantaneous and temporal connection relationship within each and between the two DMN subsystems. It was found that the directional instantaneous interactions between the two subsystems were primarily "from non-hub to hub". The temporal interactions between hub and non-hub regions, on the other hand, are less presented between the two subsystems. The hub subsystem demonstrated both strong instantaneous and temporal interactions among the hub regions, while the non-hub regions were only strongly inter-connected instantaneously but temporally isolated with each other. In addition, one of the hub regions, PCC, appears to be a confluent node and important in the functional integration within the network.

References

Jan 1, 1993·Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism·K J FristonR S Frackowiak
Oct 1, 1995·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·B BiswalJ S Hyde
Feb 24, 2001·Proceedings of the National Academy of Sciences of the United States of America·M E RaichleG L Shulman
Dec 31, 2002·Proceedings of the National Academy of Sciences of the United States of America·Michael D GreiciusVinod Menon
Sep 2, 2003·NeuroImage·K J FristonW Penny
Sep 30, 2003·The Journal of Comparative Neurology·Yasushi Kobayashi, David G Amaral
Nov 19, 2003·Neural Networks : the Official Journal of the International Neural Network Society·Karl Friston
Mar 17, 2006·NeuroImage·Xuebin Zheng, Jagath C Rajapakse
Apr 17, 2007·The Journal of Comparative Neurology·Yasushi Kobayashi, David G Amaral
May 15, 2007·Neurobiology of Aging·Anton ForsbergAgneta Nordberg
Jul 24, 2007·NeuroImage·Jagath C Rajapakse, Juan Zhou
Aug 21, 2007·Nature Reviews. Neuroscience·Michael D Fox, Marcus E Raichle
Aug 28, 2007·NeuroImage·Marcus E Raichle, Abraham Z Snyder
Nov 9, 2007·Human Brain Mapping·John BurgeVincent P Clark
Apr 11, 2008·Annals of the New York Academy of Sciences·Daniel L SchacterRandy L Buckner
Mar 3, 2010·Brain : a Journal of Neurology·R L Carhart-Harris, K J Friston

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Citations

Oct 24, 2014·Frontiers in Computational Neuroscience·Lele XuLi Yao
Aug 16, 2017·IEEE Transactions on Bio-medical Engineering·Shilpa DangPrasun K Roy

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