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DVDY_21297_sm_suppinfofig1.tif1811KFigure S1. The weighted degree centrality measurements of the topographical analysis, which were significantly and positively correlated with psychometric intelligence, are displayed as red dots. Furthermore, the connections of the significant degrees, which exhibit a significant correlation with the RAPM, are presented as grey lines between the nodes.
DVDY_21297_sm_suppinfofig2.tif79KFigure S2. The correlation analysis (age-uncorrected) between performance in the RAPM and the six electrode clusters of all frequency bands in the eyes open condition are displayed. The correlation coefficient is plotted on the y-axis. The only significant relationship was found in the right posterior cluster of the upper alpha band.
DVDY_21297_sm_suppinfofig3.tif29KFigure S3. Without removing the effect of age, the intracortical source localization analysis (with Fisher's permutation test) revealed a statistical trend towards a significant relationship between upper alpha activity and psychometric intelligence (p< 0.05, corrected for multiple comparisons). The cluster with the highest correlation (peak correlation was at 0.392) is displayed in red. X, Y, Z are the MNI-coordinates of the local maximum.
DVDY_21297_sm_suppinfotab1.doc69KTable S1. All hub regions of the intracortical graph-theoretical network analysis and their Brodmann area label are listed. The significant positive correlation coefficients between their degree centrality measurements and the performance in the RAPM are in bold numbers highlighted.
DVDY_21297_sm_suppinfotab2.doc70KTable S2 All hub regions of the intracortical graph-theoretical network analysis and their Brodmann area label are listed. The significant negative correlation coefficients between their degree centrality measurements and the performance in the RAPM are in bold numbers highlighted.
DVDY_21297_sm_suppinfotab3.doc151KTable S3. Listed are the small-world indices of the differently thresholded mean correlation matrix of the topographical analysis. Across the whole range of relevant correlation thresholds, the threshold of r = 0.35 (bold) elucidated the network, which represents the best small-world network organization.
DVDY_21297_sm_suppinfotab4.doc131KTable S4. Presented are the correlations coefficients of the partial correlation analysis between the small-world indices of the topographical analysis and the intelligence performance. In addition the p value if the correlations are listed. Cw = clustering coefficient; CL = path length.
DVDY_21297_sm_suppinfotab5.doc1821KTable S5. All hub regions of the topographical analysis and the X, Y, Z coordinates in the MNI-space of the electrodes are listed. The significant positive correlation coefficients between their degree centrality measurements and the performance in the RAPM are in bold numbers highlighted.
DVDY_21297_sm_suppinfotab6.doc28KTable S6. Listed are the correlations coefficients of the age-uncorrected correlation analysis between the small-world indices (C = Clustering Coefficient; L = path length) of the intracortical graph-theoretical network analysis and the intelligence performance. In addition, the p value whit the correlations are presented (p< 0.05, corrected for multiple comparisons).
DVDY_21297_sm_suppinfotab7.doc133KTable S7. Listed are the correlation coefficients of the partial correlation analysis between the small-world indices of the intracortical graph-theoretical network analysis and the intelligence performance for all further frequency bands (not upper alpha). The p-values associated with the correlation coefficients are also presented. There were no significant correlations.
DVDY_21297_sm_suppinfotab8.doc82KTable S8. Listed are the results of the betweenness centrality analysis. Betweenness centrality relies on the calculation of shortest distances in the network. Nodes that occur on many shortest paths (geodesics) between other nodes have higher betweenness centrality than those that do not. A node with high betweenness centrality is interpreted as a gatekeeper that is able to control the information flow through the node. For the alpha2 frequency bands, all nodes of the intracortical graph-theoretical network analysis, which revealed significantly positive or negative correlation between betweenness centraliy and intelligence, are listed with their Brodmann area label and the correlation coefficients (p<0.05, uncorrected for multiple comparisons).

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