Fig. 3.

Resting-state functional connectivity. a) Resting-state connectome matrices for patients (upper panel) and controls (lower panel). In both cases, connectivity is calculated via the assessment of burst coincidence between regions. The glass brains show the spatial structure of the information in the corresponding connectome matrices. The red lines show 5% of connections with the highest functional connectivity value. b) The glass brain plot shows the 2% of connections with the largest difference between patients and controls. c) Whole-brain functional connectivity assessment in patients and controls. Each data point represents the average connectivity across all connections, for a single individual (i.e. the overall sum of all of the matrix elements in the connectomes shown in (a) divided by the number of connections). Whole head connectivity – computed via assessment of burst coincidence – is significantly (p = 0.031; Wilcoxon sum rank test) diminished in patients. d) Glass brain showing the connections selected using recursive Random Forest Feature selection and violin plot showing the average connectivity for those connections in both groups. e) Scatter plot showing the relationship between symptom severity and burst connectivity in the rRF-FS selected connections. Spearman correlation for the combined data points gave R = -0.72; p = 8x10^-8. Spearman correlation for the mTBI group only gave R = -0.45; p = 0.03. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)