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. 2011 Jun 1;56(3-4):1202–1221. doi: 10.1016/j.neuroimage.2010.12.039

Fig. 13.

Fig. 13

Model selection using null data: This figure has exactly the same format as Fig. 9 but reports post hoc model selection results following inversion of phase-shuffled data. Phase shuffling preserves the amplitude and spectral properties of within-node dynamics but destroys any conditional dependencies among nodes. This should result in an edgeless graph, which is nearly the case but not quite.