FIG. 1.

Overview of dynamic correlation factor analysis. (a) Dynamic correlation analysis uses the z-transformed correlations of the time courses among all regions of interest within sliding windows (W1…Wn) as an input to a factor analysis, yielding factors that describe sets of edges with covarying connectivity. (b) The dotted blue lines show sliding window correlations among nodes with covarying connectivity within a factor as shown in (a), and the heavy blue line is the mean of these values. One can observe that there is a relationship between the mean correlation and the factor score, but the latter is a more direct measurement of the coupling. During a scan, these correlations may be more tightly coupled, yielding a high factor score (first red circle) or more loosely coupled, yielding a lower factor score (second red circle).