<p>After computing the inter-regional correlations (left), three thresholds were applied (p < 0.05, 0.025 and 0.01) and the most robust correlation coefficients (center) composed the networks (right). Networks were generated for SHAM (top), SHAM-nH (middle) and dHPC (bottom) matrices. In the matrices, colors reflect correlation strength (scale, right). In the network, the colors of the nodes are coded according to the <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1006207#pcbi.1006207.g002" target="_blank">Fig 2</a>, and the sizes of the nodes represent their degree (number of connections).</p
<p>Red lines indicate positive correlations, while black lines indicate negative correlations. The l...
<p>(a) Complex network representation of the positive connections among crime and property DSAMs. Ea...
<p>Matrices illustrating both within and between network connectivity values for the DMN and TNP for...
<p><b>A</b>. Matrices showing inter-regional correlations for Fos expression at the short (upper) an...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
<p>(A) Averaged correlation matrices for JM, control sample and conditions. Bottom rows shows t-valu...
<p>(A) Pearson degree correlation coefficient for the model network of size <i>N</i> = 10<sup>5</sup...
<p>(A) Example graph representation of matrix in (5B), nodes colored by subpopulation, edges colored...
<p>Each brain region is represented by a sphere. Sphere size = mean connectivity degree; sphere tran...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...
<p>(<b>a</b>) We estimate dynamic functional connectivity; colors represent arbitrary connection str...
<p>(A) Cumulative distributions of the Fisher’s Z transformed correlation coefficients from the SHAM...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
<p>Thickness of lines indicates proportion of participants (%) with a given pair-wise connection, de...
<p>The graphs show the binarized matrices (left for the older group and right for the younger group)...
<p>Red lines indicate positive correlations, while black lines indicate negative correlations. The l...
<p>(a) Complex network representation of the positive connections among crime and property DSAMs. Ea...
<p>Matrices illustrating both within and between network connectivity values for the DMN and TNP for...
<p><b>A</b>. Matrices showing inter-regional correlations for Fos expression at the short (upper) an...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
<p>(A) Averaged correlation matrices for JM, control sample and conditions. Bottom rows shows t-valu...
<p>(A) Pearson degree correlation coefficient for the model network of size <i>N</i> = 10<sup>5</sup...
<p>(A) Example graph representation of matrix in (5B), nodes colored by subpopulation, edges colored...
<p>Each brain region is represented by a sphere. Sphere size = mean connectivity degree; sphere tran...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...
<p>(<b>a</b>) We estimate dynamic functional connectivity; colors represent arbitrary connection str...
<p>(A) Cumulative distributions of the Fisher’s Z transformed correlation coefficients from the SHAM...
<p>Because network topologies can be difficult to decipher in large networks, here we illustrate the...
<p>Thickness of lines indicates proportion of participants (%) with a given pair-wise connection, de...
<p>The graphs show the binarized matrices (left for the older group and right for the younger group)...
<p>Red lines indicate positive correlations, while black lines indicate negative correlations. The l...
<p>(a) Complex network representation of the positive connections among crime and property DSAMs. Ea...
<p>Matrices illustrating both within and between network connectivity values for the DMN and TNP for...