Fig. 1. Dynamic segregation and integration.
a Schematic diagram of dynamic segregation and integration analysis. The brain functional connectivity (FC) network temporally switches between segregated (low FC) and integrated (high FC) state. Using the NSP method, this dynamic transition can be studied separately in two dimensions: dynamic segregation and integration. The white lines indicate the mean values, and the ranges of the y-axis are indicated by the color bars. b Comparisons of integration strength HIn and c segregation strength HSe between the healthy control (HC, n = 50) and schizophrenia (SCH, n = 50) groups. Each point indicates the value of an individual, and the boxplot of each group was also provided. ** indicates a significant group difference with p < 0.01, *** p < 0.001. d Relative changes in integration strength HIn and segregation strength HSe from HC to SCH in seven functional systems. All systems had significant alterations (p < 0.05, FDR corrected). e Comparisons of integration variability FIn, f segregation variability FSe between HC and SCH groups. g Relative changes in the integration variability FIn and segregation variability FSe from HC to SCH in seven functional systems. All systems had significant alterations (p < 0.05, FDR corrected). VIS: visual, MOT: motor, DOR: dorsal attention, SAL: salient attention, LIM: limbic, CON: control, DMN: default-mode network (see similar results for the brain parcellation of 500 regions in Supplementary Fig. 3).