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. 2015 Jul 24;9:257. doi: 10.3389/fnins.2015.00257

Figure 1.

Figure 1

Here we show the workflow used in this paper to classify patients based on their brain structural networks. We model brain networks as connectivity matrices, and then stack them up, across subjects, as a 3D tensor. We then perform feature reduction and use sparse methods for diagnostic classification.