Title: Evaluating the effective connectivity of resting state networks using conditional Granger causality
Authors: Liao, Wei *
Mantini, Dante *
Zhang, Zhiqiang
Pan, Zhengyong
Chen, Huafu ×
Ding, Jurong
Gong, Qiyong
Yang, Yihong #
Issue Date: Jan-2010
Publisher: Springer
Series Title: Biological Cybernetics vol:102 issue:1 pages:57-69
Abstract: The human brain has been documented to be spatially organized in a finite set of specific coherent patterns, namely resting state networks (RSNs). The interactions among RSNs, being potentially dynamic and directional, may not be adequately captured by simple correlation, or anti-correlation. To evaluate the possible effective connectivity within those RSNs, we applied a conditional Granger causality analysis (CGCA) to the RSNs retrieved by independent component analysis (ICA) from resting state fMRI data. Our analysis provided evidence for specific causal influences among the detected RSNs: default-mode, dorsal attention, core, central-executive, self-referential, somatosensory, visual and auditory networks. In particular, we identified that self-referential and default-mode networks play distinct and crucial roles in the human brain functional architecture. Specifically, the former RSN exerted the strongest causal influence over the other RSNs, revealing a top–down modulation of self-referential mental activity over sensory and cognitive processing. In quite contrast, the latter RSN was profoundly affected by the other RSNs, which may underlie an integration of information from primary function and higher level cognition networks, consistent with previous task-related studies. Overall, our results revealed the causal influences among these RSNs at different processing levels, and supplied information for a deeper understanding of the brain network dynamics.
ISSN: 0340-1200
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
* (joint) first author
× corresponding author
# (joint) last author

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