Fig 3 -

HMM analysis: (A) Principal component analysis was calculated for each functional system and the three first components (one from each system) were used as the input signal for the Hidden Markov Model Analysis (HMM). (B) At each time point, the probability of occurrence of each network-state is displayed, next to the predominant one for the corresponding moment. (C) The average life-time (time spent at each network state) was calculated for each behavioral state and displayed together to observe the similarities between them (D) Entropy production was calculated by observing how asymmetrical the transitions between the network-states were. (E) The results, grouped by behavioral state indicated a higher level of transfer entropy in the AA/REM state (F) The joint transition probability between the network states is displayed for each behavioral state. Furthermore, the difference matrix (upper triangle minus lower triangle) is displayed to enhance the visualization of the effect (G) The level of determinism was calculated showing the highest value for the SWS state (H) The level of degeneracy was calculated showing the highest value for the SWS state (I) The level of mutual information was calculated showing the highest value for the SWS state.