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. Author manuscript; available in PMC: 2017 Jun 1.
Published in final edited form as: Neuroimage. 2016 Mar 4;133:111–128. doi: 10.1016/j.neuroimage.2016.02.074

Table 2.

Total state transitions along with the mean percentages of correct state transitions (with respect to total detected state transitions and actual state transitions given in the parentheses) are shown for all window sizes and SNs. The second row contains the SN type along with the total number of state transitions for each one in the parenthesis. The total number of transitions is dependent on the window size as well as the actual number of states in a SN. QPeriodicSN and 50SN have the most state transitions (14 and 17) and all the windows show the maximum number of transitions for these SNs (columns 3 & 4) but the largest of them occurs for smallest window of 25 TRs (row 3, column 3 and 4). Mean percentages of correct state transitions with respect to the total and actual state transitions are largest for an equal interval SN when the window size is equal to the state durations ((row 4, column 4), (row 5, column 5), and (row 6, column 6)). Furthermore, the state transitions are fairly well identified if the window size is less the state durations.

Mean total state transitions (mean((correct state transitions/total state transitions) × 100), mean ((correct state transitions/actual state transitions) × 100)) for nine subjects for filtered (0.016–0.08 Hz) simulated networks
RandSN (9) QPeriodicSN (14) 50SN (17) 100SN (8) 200SN (4)
25 TRs (17 s) window 39 (16, 68) 39 (32, 90) 44 (28, 73) 33 (19, 81) 42 (6, 64)
50 TRs (33 s) window 15 (37, 63) 25 (40, 70) 25 (59, 86) 13 (45, 74) 9.6 (27, 64)
100 TRs (65 s) window 13 (17, 25) 18 (27, 33) 15 (12, 10) 12 (57, 86) 5.8 (44, 64)
200 TRs (129 s) window 4.3 (15, 7) 7.1 (3, 2) 10 (0, 0) 6.8 (8, 6.9) 6 (48, 72)