Skip to main content
. Author manuscript; available in PMC: 2019 Jan 18.
Published in final edited form as: Neuroimage. 2018 Feb 8;172:740–752. doi: 10.1016/j.neuroimage.2018.01.058

Fig. 10.

Fig. 10.

(a) The rfMRI data from N = 40 subjects, 2 sessions each, was temporally concatenated to generate a 2NT × V data matrix, as shown on the left. This data matrix was input to k-means clustering, with feature vector of dimension 2NT and k = 100, to generate a single common parcellation for all brains. (b) The BrainSync’ed data were arranged as T × 2NV matrix and input to k-means clustering with a feature vector of size T to jointly produce an individualized parcellation of each subject, as shown in Fig. 11.