Figure 5.

Correlation matrix and individual participant scatterplot. In the correlation matrix on the left, temporal relations between networks were computed for each resting state scan. The resulting correlation coefficients are plotted within superordinate squares of the matrix. As an example, superordinate square (A) demonstrates that auditory and default mode network time-courses are more highly correlated than are motor and salience networks (presented in superordinate square B). It is noteworthy that for this data set, the cool and warm colors tend to be consistent within superordinate matrix squares, indicating a degree of consistency in the observed temporal relations between networks. Square (C) provides the legend for the ordering of the comparisons. The scatterplot on the right (D) demonstrates that participants with high correlations between network timecourses remain high across repeat measurement. In contrast, those with little correspondence between timecourses remain low.