Figure 3:

Comparisons of FNC between PWH and SN using t-statistic. A t-statistic was calculated between two groups of subjects (PWH and SN) in each entry in the subject-level FNC matrices, which resulted in a t-statistic matrix (32 × 32). (a) The two heatmaps show the t-statistic matrices at baseline (TL1) and one month after training (TL2) in the adaptive group. Warmer colors indicate higher t-statistic hence stronger connectivity between RSNs in the PWH group than that in the SN group. (b) Same as (a), but the t-statistic matrices are thresholded at p < 0.05, and uses the same color scale. (c) The number of survived nodes with a changing threshold of t-statistic. An analysis like the ROC was performed to compare the differences between TL1 and TL2, which resulted in the metric discrimination index (DI) shown in the panel. (d) The two heatmaps show the t-statistic matrices at TL1 and TL2 in the non-adaptive group. (e) Same as (d), but the t-statistic matrices are thresholded at p < 0.05, and uses the same color scale. (f) The number of survived nodes with a changing threshold of t-statistic. (a–c) Adaptive: SN (n = 28), PWH adaptive (n = 30). (d–f) Non-adaptive: SN (n = 25), PWH (n = 23).