Fig. 5.
Connectivity state transitions during the isoflurane maintenance period. (A) the transition probability matrix, with each off-diagonal element indicating the probability of switching from any state in a given row to another state in the given column, while the element on the diagonal line indicating the probability of staying in a certain state. (B) Relative to random transitions, cortical connectivity is more probable to stay in a certain state. (Top left) The mean transition probability matrix from N = 1,000 surrogate data generated by permutating the temporal order while keeping the occurrence rates of states. (Bottom left) The cells in black indicated that for all the states, the persistence probability in the state is higher than random transitioning (false discovery rate [FDR]-adjusted P < 0.05). (Right) The significant persistence probabilities in each state after subtracting the mean of those from surrogate data. (C) A few between-state transitions are more probable and not random. (Top left) The mean between-state transition probabilities from N = 1,000 surrogate data generated by randomly permutating the retained time series after removing the state stays. (Bottom left) The cells in black indicated that the transition probability is higher than random level (FDR-adjusted P < 0.05). (Right) The significant between-state transition probabilities after subtracting the mean of those from surrogate data. (D) Graphical representation of significant state transitions. Each node indicates a state, the size of the node is proportional to the persistence probability in each state, and the directed, weighted edges are proportional to the transition probability between the two states. BS, burst suppression.