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. Author manuscript; available in PMC: 2018 Apr 18.
Published in final edited form as: Neuroimage. 2017 Sep 5;170:54–67. doi: 10.1016/j.neuroimage.2017.08.068

Fig. 2. The group-level parcellation schemes for the number of networks ranging from K = 2 to K = 25.

Fig. 2

At K = 2, the brain is roughly divided into the default mode network (DMN) and task-positive network. As K is increased, the greedy algorithm discovers new exemplars while preserving the former ones, and hence parcellates the brain in a hierarchical setting. For example, at K = 3, the visual network is separated from the DMN and task-positive network. When K is increased to K = 11, many canonical networks (including the DMN, frontoparietal network (FPN), and sensorimotor network (SMN)) are observable. K = 25 was the finest resolution parcellation derived here. For K > 11 the changes are subtle and more difficult to observe (Fig. S1).