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. 2018 May 18;12:327. doi: 10.3389/fnins.2018.00327

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Copyright © 2018 Sandini, Zöller, Scariati, Padula, Schneider, Schaer, Van De Ville and Eliez.

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 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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Correlation between structural covariance network architecture and working memory. Method: Mean WM scores and measures of SC network architecture are computed in each window and correlated using Pearson's correlation. The process is repeated for 900 BSs in each window to define confidence intervals of correlations. Correlations are furthermore repeated after controlling for the effect of age. (A) Correlations in HCs before controlling for age. (B) Correlations in HCs after controlling for age. (C) Correlations in 22q11DS before controlling for age. (D) Correlations in 22q11DS after controlling for age.