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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 2. Model illustrating advantages of RSMFC.

Figure 2

Network 1 (denoted as the red square) and network 2 (denoted as the yellow square) are two uncorrelated networks. Using RSMFC, the two networks remain uncorrelated while GSReg introduces strong anti-correlations (represented by blue arrow) between the two uncorrelated networks. RSMFC = random subspace method functional connectivity. GSReg = global signal regression method.