Science Advances

Supplementary Materials

This PDF file includes:

  • Supplementary Methods 1
  • Supplementary Methods 2
  • Fig. S1. The four recurrent dynamic coordination patterns emerge at different dimensionalities.
  • Fig. S2. Network analysis of the identified patterns shows that consciousness-related patterns are characterized by higher spatial complexity, long-distance negative edges, community structure, and high efficiency.
  • Fig. S3. Network properties reflect the state of consciousness.
  • Fig. S4. Robustness of the extracted coordination patterns.
  • Fig. S5. Etiology, chronicity age, and gender do not mediate patients’ temporal dynamics.
  • Fig. S6. The structural connectivity network is defined from DSI and contains systems-based ROIs.
  • Fig. S7. Transition probabilities normalized by the patterns’ probabilities of occurrence.
  • Fig. S8. Entropy rate increases with respect to the state of consciousness.
  • Fig. S9. Pattern validation in dataset 2 (“Canada”) and dataset 3 (“Anesthesia”).
  • Fig. S10. Dataset slope comparisons.
  • Fig. S11. Replication of the structural-functional analysis with different granularity of the structural matrix reduction.
  • Table S1. Patients’ demographic and clinical characteristics per scanning site (n = 112).
  • Table S2. Network-level ROIs used as seed areas.
  • References (4648)

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