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. Author manuscript; available in PMC: 2014 Nov 15.
Published in final edited form as: Neuroimage. 2013 Jun 5;0:87–100. doi: 10.1016/j.neuroimage.2013.05.118

Figure 5. Identification of networks by RSMFC and GSReg on the simulated dataset.

Figure 5

(a) Original uncorrelated simulated networks. (b) RSMFC accurately identifies the positively correlated network and correctly excludes the uncorrelated network. The two networks remain uncorrelated in RSMFC. (c) In GSReg, the two originally uncorrelated networks become anti-correlated. Voxels that have positive correlations with the ROI seed are colored red and voxels in the other uncorrelated network are colored yellow. Voxels that have negative correlations are colored blue. Both connectivity maps are thresholded under FDR < 0.001 and then masked by the two preset networks. RSMFC = random subspace method functional connectivity. GSReg = global signal regression method.