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. 2019 Jul 9;13:685. doi: 10.3389/fnins.2019.00685

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Copyright © 2019 Zhou, Zhang, Feng and Lo.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Sliding window based whole functional connectivity (WFC). (A) The whole brain dynamic functional connectivity matrix was computed with 14.4 s non-overlapping sliding window (length of 20 time points). The corresponding top 100 significant FCs are shown for illustration at upper right of the matrix. (B) An example of the community clustering results across time and subjects. The similar (reoccurred) network patterns were clustered into 3 modules, representing 3 states. The similarity of dynamic functional connectivity was defined as their Pearson correlation coefficient.