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. Author manuscript; available in PMC: 2017 Aug 1.
Published in final edited form as: Neuroimage. 2016 May 15;136:68–83. doi: 10.1016/j.neuroimage.2016.05.035

Figure 1.

Figure 1

Overview of the group-wise parcellation method. Each subject Si is associated with a connectivity matrix χSi that drives the construction of a multi-scale base parcellation. Intra-subject edges (between base parcellation resolutions) and inter-subject edges (between all pairs of subjects at the coarsest parcellation resolution) are built to allow a common spectral decomposition of the affinity matrix (Pearson’s correlation between the tractography connectivity profiles).