<p>Note: Global parameters across all three conditions were calculated for each subject and averaged as group means. <i>C</i><sub>p</sub>, clustering coefficient; <i>L</i><sub>p</sub>, characteristic path length; <i>E</i><sub>loc</sub>, local efficiency; <i>E</i><sub>glob</sub>, global efficiency; <i>σ</i>, small-worldness; <i>K</i>, average degree; <i>D</i><sub>p</sub>, physical distance; <i>Q</i>, modularity; <i>R</i>, robustness. The range of σ indicated that the functional network for each subject exhibits small-world attributes in each of the three cognitive conditions (σ > 1).</p><p>Mean global parameters of brain functional networks for the three cognitive conditions (RS: resting-state; VSW: visual stimulus watching task; VSD: visual...
<p>(A) Clustering coefficient, <i>C<sub>p</sub></i>; (B) characteristic path length, <i>L<sub>p</sub...
<p>Here stands for the normalized clustering coefficient, for the normalized characteristic path l...
<p>Average measures of local clustering, <i>l</i>C/<i>l</i>C<sub>rand</sub>, and characteristic path...
<p>(Top row) Within-subject effects of task complexity on the clustering coefficient <i>C</i><sub>p<...
<p>(A) The functional networks of all cognitive conditions showed a higher clustering coefficient (<...
<p>Note: ,,,,, and correspond to the integrated clustering coefficient, integrated characteristic p...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>Functional brain networks were constructed from seed-based resting-state fMRI functional connecti...
<p>Note: The validation of the nodal analysis was not performed due to the incompatibility across di...
<p>Box-plots show the median, interquartile range, and range for the wiring-cost. (A) Average degree...
<p>Bars show the differences in the areas under curves (AUC) of (A) small-world parameters (Cp, Lp, ...
<p>Box-plots of the average shortest path length (left) and the clustering coefficient (right) for...
<p>Note: <i>Cp</i>, the average clustering coefficient of all of the nodes in the brain network; <i>...
<p>Global and local efficiency (<i>y</i>-axis) as a function of cost (<i>x</i>-axis) for a random gr...
<p>Global mean metrics across all states were calculated for each subject and averaged as group mean...
<p>(A) Clustering coefficient, <i>C<sub>p</sub></i>; (B) characteristic path length, <i>L<sub>p</sub...
<p>Here stands for the normalized clustering coefficient, for the normalized characteristic path l...
<p>Average measures of local clustering, <i>l</i>C/<i>l</i>C<sub>rand</sub>, and characteristic path...
<p>(Top row) Within-subject effects of task complexity on the clustering coefficient <i>C</i><sub>p<...
<p>(A) The functional networks of all cognitive conditions showed a higher clustering coefficient (<...
<p>Note: ,,,,, and correspond to the integrated clustering coefficient, integrated characteristic p...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>Functional brain networks were constructed from seed-based resting-state fMRI functional connecti...
<p>Note: The validation of the nodal analysis was not performed due to the incompatibility across di...
<p>Box-plots show the median, interquartile range, and range for the wiring-cost. (A) Average degree...
<p>Bars show the differences in the areas under curves (AUC) of (A) small-world parameters (Cp, Lp, ...
<p>Box-plots of the average shortest path length (left) and the clustering coefficient (right) for...
<p>Note: <i>Cp</i>, the average clustering coefficient of all of the nodes in the brain network; <i>...
<p>Global and local efficiency (<i>y</i>-axis) as a function of cost (<i>x</i>-axis) for a random gr...
<p>Global mean metrics across all states were calculated for each subject and averaged as group mean...
<p>(A) Clustering coefficient, <i>C<sub>p</sub></i>; (B) characteristic path length, <i>L<sub>p</sub...
<p>Here stands for the normalized clustering coefficient, for the normalized characteristic path l...
<p>Average measures of local clustering, <i>l</i>C/<i>l</i>C<sub>rand</sub>, and characteristic path...