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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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Fifty-one discriminative functional connectivity are selected by feature selection. (A) The distribution of 51 discriminative functional connectivity in the brain. (B) All discriminative functional connectivity weight graphs. The color of the node in (A) represents the module to which the node belongs. Blue represents frontal, yellow represents occipital, red represents parietal, green represents subcortical and purple represents temporal. The color and thickness of the connectivity represent the weight of the connectivity. The weight refers to the weight value assigned to each feature in the Relief feature selection method.