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. Author manuscript; available in PMC: 2023 Jan 17.
Published in final edited form as: Neuroimage. 2022 Nov 7;264:119737. doi: 10.1016/j.neuroimage.2022.119737

Fig. 11.

Fig. 11.

We show 10 states captured by k-means on the temporal DCs estimated by DICE on FBIRN complete dataset. The rows shows the means and the percentage of time spent by HC and SZ subjects in each state. We see that DICE can capture more states than the standard (4–5) states captured by window-based approaches. The additional states not present in Fig. 10 show the change of direction in connectivity. State 9 shows the opposite direction of connectivity between VIN and other networks, where VIN has mostly incoming edges. The ratio of time spent by HC and SZ subject in different states is similar to the results of Fig. 10.