ANOVA of degree centrality reliability.

<p>ANOVA of degree centrality reliability.</p

Network sparsity based on different network thresholds.

<p>Network sparsity based on different network thresholds.</p

Brain hubs in session 2.

<p>Brain hubs in session 2.</p

Brain hubs across different networks.

<p>Subfigure A denotes brain hubs in session 1. Subfigure B denotes brain hubs in session 2. The brain hubs are indicated by a z-score >1.</p

Brain hubs in session 1.

<p>Brain hubs in session 1.</p

Pipeline for individual voxel-wise morphological connectivity.

<p>The pipeline contains the following steps: a) VBM transform; b) wavelet transform; c) Pearson correlation; d) thresholding; e) degree centrality. In pipeline b, the top three images represent the details of the wavelet transform, and the bottom three images represent the approximations of the wavelet transform. The brain mask was constructed by skull-stripping the template image in FMRIB Software Library (FSL).</p

Mean reliability of degree centrality with a threshold of 0.8.

<p>Subfigure A denotes the mean reliability of degree centrality for weighted networks with a threshold of 0.8. Subfigure B denotes the mean reliability of degree centrality for binarized networks with a threshold of 0.8.</p

Correlations of degree centrality reliability among different networks.

<p>Subfigure A denotes the correlations of degree centrality reliability for weighted networks. Subfigure B denotes the correlations of degree centrality reliability for binarized networks. w is the wavelet scale, and r is the threshold of the network.</p

Mean and standard deviation of ICC.

<p>Mean and standard deviation of ICC.</p

Violin plots of degree centrality reliability.

<p>Subfigure A denotes the violin plots of degree centrality reliability for weighted networks. Subfigure B denotes the violin plots of degree centrality reliability for binarized networks. w is the wavelet scale, and r is the threshold of the network.</p