State sequences in brain activity. A, Time dependence of most probable states from left and right hemispheric brain activity for three subjects. For each of six brain regions, we selected the most active electrode, fit the ARHMM to the broadband γ power on these six electrodes, and then estimated the sequence of latent brain states that best explains the observed activity. The top shows states as a trial-by-trial raster, and the bottom shows the fraction of trials on which each state was most probable. B, Interactions between brain regions during the corresponding named network states, plotted as in . Black arrows indicate state transition probabilities according to the inferred state transition matrix. C, Dissimilarity between brain states between and within subjects. Dissimilarity is measured as the difference between integrated PDC magnitude, according to . Extended Data shows the same analysis, using not the most active electrodes in each region but instead the multi-electrode activity patterns with greatest variance within each region.