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. 2017 Dec 1;11:639. doi: 10.3389/fnins.2017.00639

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Copyright © 2017 Guo, Liu, Chen, Xu and Jie.

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) or licensor 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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Effect of different step sizes on classification results. (A) The effect of different step sizes on the classification results based on high-order functional connectivity network classification method. (B) The effect of different step sizes on the classification results based on HON-MST classification method. (A) Shows the curve of the accuracy, specificity, and sensitivity of the high-order functional connectivity network classification method of sliding windows with different step sizes of 1 step, 2 steps, 3 steps, 4 steps, and 5 steps, respectively. (B) Shows the curve of the accuracy, specificity, and sensitivity of the HON-MST classification method of sliding windows with different step sizes of 1, 2, 3, 4, and 5 steps, respectively.