<p>The graphs show the changes in <i>γ</i> (solid line) and <i>λ</i> (dashed line) in the functional brain networks of AD (red), aMCI (green), and NC (blue) groups at (A) low parcellation scale and (B) high parcellation scale with respect to sparsity. For all the three groups, <i>γ</i> was significantly greater than 1 and <i>λ</i> was relatively close to 1, indicating prominent small-world properties for all groups.</p
<p>The graphs show the absolute path lengths (Gamma γ = C<sub>p</sub><sup>real</sup>/C<sub>p</sub><s...
It is shown that the statistical properties of connections between regions of the brain and their de...
An increasing number of network metrics have been applied in network analysis. If metric relations w...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>(A) The functional networks of all cognitive conditions showed a higher clustering coefficient (<...
<p>Here stands for the normalized clustering coefficient, for the normalized characteristic path l...
<p>The gray areas indicate the sparsity range over which the parameters derived from all individual ...
<p><b>A</b> and <b>B</b>, The graphs show the small-world parameters (, and ) of smaller-sample net...
<p>The graphs show the changes in (red line), (green line) and (blue line) in the networks of old...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>(A) Clustering coefficient, <i>C<sub>p</sub></i>; (B) characteristic path length, <i>L<sub>p</sub...
<p>Global and local efficiency (<i>y</i>-axis) as a function of cost (<i>x</i>-axis) for a random gr...
<p>σ = Small-world index; CN = cognitively normal; MCI = mild cognitive impairment; AD = Alzheimer’s...
It is nearly 20 years since the concept of a small-world network was first quantitatively defined, b...
<p>The graphs show the absolute path lengths (Gamma γ = C<sub>p</sub><sup>real</sup>/C<sub>p</sub><s...
It is shown that the statistical properties of connections between regions of the brain and their de...
An increasing number of network metrics have been applied in network analysis. If metric relations w...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>(A) The functional networks of all cognitive conditions showed a higher clustering coefficient (<...
<p>Here stands for the normalized clustering coefficient, for the normalized characteristic path l...
<p>The gray areas indicate the sparsity range over which the parameters derived from all individual ...
<p><b>A</b> and <b>B</b>, The graphs show the small-world parameters (, and ) of smaller-sample net...
<p>The graphs show the changes in (red line), (green line) and (blue line) in the networks of old...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>(A) Clustering coefficient, <i>C<sub>p</sub></i>; (B) characteristic path length, <i>L<sub>p</sub...
<p>Global and local efficiency (<i>y</i>-axis) as a function of cost (<i>x</i>-axis) for a random gr...
<p>σ = Small-world index; CN = cognitively normal; MCI = mild cognitive impairment; AD = Alzheimer’s...
It is nearly 20 years since the concept of a small-world network was first quantitatively defined, b...
<p>The graphs show the absolute path lengths (Gamma γ = C<sub>p</sub><sup>real</sup>/C<sub>p</sub><s...
It is shown that the statistical properties of connections between regions of the brain and their de...
An increasing number of network metrics have been applied in network analysis. If metric relations w...