<p>Black dots represent the highest-performing network from each of the 100 experiments from both the PA and P&CC treatments. Both the sparsity (<i>p</i> = 1.08 × 10<sup>−16</sup>) and modularity (<i>p</i> = 1.19 × 10<sup>−5</sup>) of networks significantly correlates with their performance. Performance was measured in 80 randomly generated environments (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004128#sec016" target="_blank">Methods</a>). Significance was calculated by a <i>t</i>-test of the hypothesis that the correlation is zero. Notice that many of the lowest-performing networks are close to the maximum of 150 connections.</p
<p>Values are represented as the mean (S.D.). For each participant, two functional connectivity netw...
Average recall performance 〈PCI〉 in the complete loop for different DDN networks as a function of th...
<p>The shape sizes and enclosed numbers indicate the number of networks at that coordinate (an empty...
<p>The algorithms for quantifying hierarchy and modularity are described in Methods. The bars below ...
<p>Modularity is measured via a widely used approximation of the standard <i>Q</i> modularity score ...
<p>We scan over <b>(A)</b> observation probability <i>p</i><sub>obs</sub>, <b>(B)</b> network size <...
<p>Pearson’s product-moment correlations show a significant positive correlation between the modular...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>(<b>A</b>) TE p-value histogram for real and randomized data. Real data show many more pairs of n...
<p><b>(A)</b> Original ANNs for the networks with the best and worst test fitness. Inset text is the...
<p>The gray areas indicate the sparsity range over which the parameters derived from all individual ...
<p>Correlation of the size of MDSs with the clustering coefficient (A) and modularity (B) in SF netw...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>Values are represented as the mean (S.D.). For each participant, two functional connectivity netw...
Average recall performance 〈PCI〉 in the complete loop for different DDN networks as a function of th...
<p>The shape sizes and enclosed numbers indicate the number of networks at that coordinate (an empty...
<p>The algorithms for quantifying hierarchy and modularity are described in Methods. The bars below ...
<p>Modularity is measured via a widely used approximation of the standard <i>Q</i> modularity score ...
<p>We scan over <b>(A)</b> observation probability <i>p</i><sub>obs</sub>, <b>(B)</b> network size <...
<p>Pearson’s product-moment correlations show a significant positive correlation between the modular...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>(<b>A</b>) TE p-value histogram for real and randomized data. Real data show many more pairs of n...
<p><b>(A)</b> Original ANNs for the networks with the best and worst test fitness. Inset text is the...
<p>The gray areas indicate the sparsity range over which the parameters derived from all individual ...
<p>Correlation of the size of MDSs with the clustering coefficient (A) and modularity (B) in SF netw...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>Error bars correspond to standard deviation of the mean for 1000 comparable random null networks ...
<p>Values are represented as the mean (S.D.). For each participant, two functional connectivity netw...
Average recall performance 〈PCI〉 in the complete loop for different DDN networks as a function of th...
<p>The shape sizes and enclosed numbers indicate the number of networks at that coordinate (an empty...