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. 2015 Jun 9;5:10105. doi: 10.1038/srep10105

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Copyright © 2015, Macmillan Publishers Limited

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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Effects of COMT Val¹⁵⁸Met genotypes on the eigenvector centrality of the brain network and working memory performance. (A) A two-sample t test of eigenvector centrality maps revealed significantly (P < 0.05, corrected) higher centrality in the left parahippocampal cortex (peak voxel MNI coordinates: X = −24, Y = −20, Z = −28; T = 2.939; cluster size = 27) in the Val/Val individuals than the Met carriers. (B) For illustrative purposes, the mean eigenvector centrality within the significant cluster is displayed in the bar graph for the two different genotype groups (mean ± SD). (C) Individual eigenvector centrality within the significant cluster is significantly (P = 0.008) positively correlated with the individual 2-back WM correct rate. The P value is shown with age and gender as covariates in the association analysis. PPA, parahippocampal cortex; WM, working memory.