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. Author manuscript; available in PMC: 2021 Feb 15.
Published in final edited form as: Neuroimage. 2019 Nov 27;207:116398. doi: 10.1016/j.neuroimage.2019.116398

Fig. 10:

Fig. 10:

Combining up to seven subnetworks. (A) Participant identification accuracy using geodesic distance as a function of the number of subnetworks for each condition. For a particular condition and number of combined subnetworks (1, 2, 3, or 4), the maximum identification accuracy across all combinations of subnetworks is shown with the red bar (the minimum is indicated by the yellow line). Accuracy initially increased with the number of subnetworks but then decreased, and was lowest using whole-cortex FCs (i.e, number of combined subnetworks = 7). (B) Participant identification accuracy averaged across conditions is displayed against number of combined subnetworks.