Fig. 5. Dynamics of the FHA-DC during both fMRI scans.

4A-4B). We ran connICA on each 120 second sliding window during the baseline resting scan (A) and task-rest fMRI scan (B). The presence of the component (as reflected by Pearson’s correlation coefficient, r) includes all subjects, regardless of the FHA status. The best matching correlation between the dynamic FC-component and the “static” FHA-DC (left inset, from Fig. 2A3) is shown across each sliding window centroid. Matching between components was measured by Pearson’s correlation coefficient between the (vectorized) connectivity profiles. Vertical dashed lines indicate the separation between 4-minute “static” blocks (Figs. 1 and 2). Shaded gray bars indicate standard deviation across 25 bootstrap runs (see Methods for details). Blue dots indicate dynamic functional connectivity windows during which FHA groups significantly differ (p< 0.05), starting approximately 20 seconds after task cessation, and lasting for about 3 min, with an average peak correlation with the FHA-DC static result of 0.85 ± 0.15. Note the absence of significant correlations (on average 0.15 ± 0.05) between the originally extracted FHA-DC during REST POST1 and connectivity during the baseline resting scan as assessed using the sliding window.