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. 2017 Sep 11;28(10):3414–3428. doi: 10.1093/cercor/bhx204

Figure 1.

Figure 1.

Methods overview. (a) We calculated co-activation across studies between every cortical voxel and the rest of the brain, including subcortex. We then applied Ward hierarchical clustering to obtain whole-brain clustering results. We chose 2 spatial scales to focus on using the silhouette method (Kober et al. 2008; Pauli et al. 2016) and selected clusters in LFC from the whole-brain clustering solutions. (b) We contrasted the whole-brain co-activation of each cluster with LFC at large, identifying voxels across the brain that showed differential co-activation. (c) We generated functional preference profiles for each cluster by determining which latent psychological topics (Blei et al. 2003) best predicted the cluster’s activation across studies in the database.