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. 2015 Jun 30;9:386. doi: 10.3389/fnhum.2015.00386

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Copyright © 2015 Wang, Wang, Xia, Liao, Evans and He.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Nodal characteristics of group-based functional brain network. (A) Nodal degree, efficiency and betweenness were computed for both binary and weighted R-fMRI brain networks under both the correlation and sparsity thresholding procedures (only nodes with centralities larger than the mean of the whole brain network are shown). (B) Although significant correlations were observed in the spatial distributions among the three nodal centrality measures regardless of network type and threshold procedure, nodal betweenness revealed unique patterns compared to nodal degree and efficiency, which was demonstrated by the hierarchical clustering analysis.