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. 2017 Sep 4;8:456. doi: 10.3389/fneur.2017.00456

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Copyright © 2017 Liang, Lee, Youn, Kim and Kim.

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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Illustration of network construction and analysis based on surface electroencephalographic (EEG) recording. (A) EEG recording: 19 channels surface-EEG recording with a sampling frequency of 200 Hz. (B) Correlation matrix (MATLAB pcolor plot): correlation coefficients among 19 channels with the diagonal elements set as 0. (C) Brain network plots: the edge strength is represented as thickness of the line. (D) Graph measures: calculation of brain network parameters, such as degree, betweenness centrality, cluster coefficient, characteristic path length, and efficiency.