<p>ICC for the global efficiency (), the characteristic path length (), the mean betweenness centrality (), the mean local efficiency () and the mean clustering coefficient (). The results are shown for binary (over a range of densities) and weighted (w) networks. Error bars denote the standard deviation. Values significantly () higher than are indicated with *.</p
<p>The 95% confidence intervals and between-group differences in A) normalized clustering (ΔCC<sub>T...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>Mean clustering coefficient (C<sub>p</sub>) and mean absolute path length (L<sub>p</sub>) over a ...
<p>The results are shown for binary (over a range of densities) and weighted (w) networks. Error bar...
<p>The results are shown for binary (over a range of densities) and weighted (w) networks. Error bar...
<p>(A) The clustering coefficient and (B) the characteristic path length are shown as a function of ...
<p>(A–C) The global metric reliability was derived from HbO, HbR, and HbT, respectively. Five colors...
<p>The average across subjects of the weighted graph measures determined from the individual's netwo...
<p>The areas under the curves (AUCs) of each global metric were used to provide threshold-independen...
<p>These results are not further discussed because they don’t provided an added value, from a neuros...
<p><b>Graph theoretical characteristics of subject binary networks thresholded at the peak convergen...
<p>The 95% confidence intervals and between-group differences in normalized clustering (top), normal...
<p>It can be observed that larger values of in general lead to more clustered networks, and that hi...
<p>a) Comparison of the accuracy obtained by the proposed method (left side) and the classical netwo...
<p>The areas under the curves (AUCs) of each global metric were used to provide threshold-independen...
<p>The 95% confidence intervals and between-group differences in A) normalized clustering (ΔCC<sub>T...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>Mean clustering coefficient (C<sub>p</sub>) and mean absolute path length (L<sub>p</sub>) over a ...
<p>The results are shown for binary (over a range of densities) and weighted (w) networks. Error bar...
<p>The results are shown for binary (over a range of densities) and weighted (w) networks. Error bar...
<p>(A) The clustering coefficient and (B) the characteristic path length are shown as a function of ...
<p>(A–C) The global metric reliability was derived from HbO, HbR, and HbT, respectively. Five colors...
<p>The average across subjects of the weighted graph measures determined from the individual's netwo...
<p>The areas under the curves (AUCs) of each global metric were used to provide threshold-independen...
<p>These results are not further discussed because they don’t provided an added value, from a neuros...
<p><b>Graph theoretical characteristics of subject binary networks thresholded at the peak convergen...
<p>The 95% confidence intervals and between-group differences in normalized clustering (top), normal...
<p>It can be observed that larger values of in general lead to more clustered networks, and that hi...
<p>a) Comparison of the accuracy obtained by the proposed method (left side) and the classical netwo...
<p>The areas under the curves (AUCs) of each global metric were used to provide threshold-independen...
<p>The 95% confidence intervals and between-group differences in A) normalized clustering (ΔCC<sub>T...
<p>(A) Absolute values of the clustering coefficient (blue circles, left axis) and mean path length...
<p>Mean clustering coefficient (C<sub>p</sub>) and mean absolute path length (L<sub>p</sub>) over a ...