<p>(A) The size of the largest connected component of structural networks as function of sparsity, (B) The mean betweenness centrality as function of sparsity, (C) The global vulnerability as function of sparsity.</p
<p>(A) Clustering coefficient, <i>C<sub>p</sub></i>; (B) characteristic path length, <i>L<sub>p</sub...
<p> is numerically easier to indicate the global efficiency than (see Material and Methods). As the...
The average fraction of nodes disconnected from the largest connected component of the network by sp...
<p>S = 0.17 is the lowest sparsity value that could guarantee each network was fully connected with ...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>The sparsity of CA3 layer vs. the threshold of CA3 units, from the numerical integration of Eq....
<p>The graphs show the absolute path lengths (Gamma γ = C<sub>p</sub><sup>real</sup>/C<sub>p</sub><s...
<p>Connections of cortical structural network for strategic/executive control with other networks me...
<p>The gray areas indicate the sparsity range over which the parameters derived from all individual ...
<p>The error bar represents the standard deviation of a parameter at a given sparsity across all sub...
<p>The graphs show the changes in (red line), (green line) and (blue line) in the networks of old...
<p>Network modularity of functional brain networks as a function of sparsity among PD patients and n...
<p>(A) Connectivity matrix of high-resolution cortical connectivity. (B–D) Averaged connection matri...
<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> is numerically easier to indicate the global efficiency than (see Material and Methods). As the...
The average fraction of nodes disconnected from the largest connected component of the network by sp...
<p>S = 0.17 is the lowest sparsity value that could guarantee each network was fully connected with ...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>λ = normalized shortest path length, γ = normalized clustering coefficient, E<sub>glob</sub> = gl...
<p>The sparsity of CA3 layer vs. the threshold of CA3 units, from the numerical integration of Eq....
<p>The graphs show the absolute path lengths (Gamma γ = C<sub>p</sub><sup>real</sup>/C<sub>p</sub><s...
<p>Connections of cortical structural network for strategic/executive control with other networks me...
<p>The gray areas indicate the sparsity range over which the parameters derived from all individual ...
<p>The error bar represents the standard deviation of a parameter at a given sparsity across all sub...
<p>The graphs show the changes in (red line), (green line) and (blue line) in the networks of old...
<p>Network modularity of functional brain networks as a function of sparsity among PD patients and n...
<p>(A) Connectivity matrix of high-resolution cortical connectivity. (B–D) Averaged connection matri...
<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> is numerically easier to indicate the global efficiency than (see Material and Methods). As the...
The average fraction of nodes disconnected from the largest connected component of the network by sp...
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