Group-ICA estimated RSNs based on 27-component analysis (A) and 70-component analysis (B).

<p>All sixteen non-artefactual components from the 27-component analysis (A) and 12 non-artefactual components exhibiting significant or marginal significant amplitude-vs-SSRT correlations from the 70-component analysis (B) were shown. The number of each component was based on the ranking of variance explained by the component. A summary of the functions of the components shown in subfigure (A) can be found in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066572#pone.0066572.s013" target="_blank">Table S1</a>.</p

Significant negative correlation of RSN amplitude (timeseries standard deviation) vs. SSRT.

<p>The results obtained at two decomposing dimensions, arranged according to their correspondence in the function of components. The threshold (determining inclusion in this table) was <i>p</i><0.05 (FDR corrected), which corresponds to uncorrected for the 27-component analysis and uncorrected for the 70-component analysis. For components exhibiting significant SSRT correlations, their counterparts obtained at the other decomposing dimension were also listed here even if they did not survive the threshold, and are indicated by ^a.</p

The effects of spatial smoothing and z-transformation upon spatial-map-vs-SSRT correlations.

<p>The <i>negative</i> spatial-map-vs-SSRT correlation maps were thresholded at <i>p</i><0.05 (TFCE corrected for multiple comparisons across space, and for two-sided tests, but not corrected across multiple RSNs). <i>Non-Z-Map</i> indicates SSRT correlations on the spatial maps produced directly by dual-regression, and <i>Z-Map</i> indicates the correlations produced by the z-transformed version of these spatial maps. <i>No Smooth</i> indicates SSRT correlations based on the unsmoothed (i.e., only the 5-mm FWHM smoothing at the preprocessing stage) spatial maps, and <i>10-mm smooth</i> indicates the SSRT correlations based on the spatial maps additionally smoothed with a Gaussian kernel of FWHM 10 mm. The correlation maps were superimposed on their respective <i>group-mean</i> spatial maps obtained by Group-ICA and then on the MNI152 template. The <i>group-mean</i> spatial maps were provided here to show whether the significant regions lie within or outside the group-level RSNs. Red-yellow indicates significant regions in the <i>group-mean</i> spatial map, blue indicates significant spatial-map-vs-SSRT correlations that do not overlap with the group-mean map, and green indicates regions of overlap. The results were based on components corresponding to primary-medial (high eccentricity) visual networks, namely, component No. 14 from the 27-component analysis and component No. 54 from the 70-component analysis. The spatial-map-vs-SSRT correlations based on the z-transformed and 10-mm smoothed components were also shown though no significant voxel was observed. It can be seen that a greater number of significant voxels, if any, could be detected based on non-z-transformed and 10-mm smoothed spatial maps.</p

Network matrix vs. SSRT correlations from the 27-component analysis that survived a threshold of uncorrected <i>p</i><0.01.

*<p>indicated that the SSRT correlation survived a threshold of <i>p</i><0.05 (FDR corrected). R-values in bold indicate that the SSRT correlation survived the threshold of uncorrected <i>p</i><0.01.</p

Correlation of SSRT vs. the full/partial (within-subject) RSN timeseries correlation matrices across subjects.

<p>Correlation of SSRT vs. the full/partial (within-subject) RSN timeseries correlation matrices across subjects.</p