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. 2022 Feb 14;16:812624. doi: 10.3389/fnins.2022.812624

TABLE 1.

The GEV results on different microstate detection methods with different topographical clustering strategies.

(A) GEV values (mean ± standard deviation)

Case 1 Case 2 Case 3 Case 4 Case 5 valence Case 5 arousal
MS1 0.0780 ± 0.0382 0.1209 ± 0.0424 0.0758 ± 0.0375 0.0721 ± 0.0369 0.0712 ± 0.0369 0.0763 ± 0.0375
MS2 0.0839 ± 0.0318 0.0593 ± 0.0309 0.0919 ± 0.0348 0.0919 ± 0.0346 0.0984 ± 0.0362 0.0893 ± 0.0342
MS3 0.1635 ± 0.0551 0.2084 ± 0.0706 0.1752 ± 0.0587 0.1665 ± 0.0554 0.1742 ± 0.0578 0.1738 ± 0.0584
MS4 0.1780 ± 0.0562 0.1176 ± 0.0476 0.1617 ± 0.0535 0.1726 ± 0.0552 0.1608 ± 0.0541 0.1652 ± 0.0539
Total 0.6711 ± 0.0497 0.6738 ± 0.0523 0.6733 ± 0.0512 0.6725 ± 0.0508 0.6732 ± 0.0511 0.6732 ± 0.0511

(B) GEV proportions.

Proportion (100%) MS1 MS2 MS3 MS4

Task-Free Case 1 18.91% 18.93% 30.62% 31.55%
Case 2 23.47% 16.15% 33.86% 26.52%
Case 3 18.05% 20.16% 30.79% 31.00%
Case 4 17.67% 19.67% 30.59% 32.07%
Task-Guided Case 5 (valence) 17.51% 20.80% 30.91% 30.78%
Case 5 (arousal) 18.11% 19.76% 30.76% 31.37%
Cronbach’s α 0.9784 0.9782 0.9840 0.9862