Table 1 ANOVA on indices derived from multiple-brain networks.

From: Multiple-Brain Connectivity During Third Party Punishment: an EEG Hyperscanning Study

  

Global efficiency

Local efficiency

Path length

Clustering

IBD

Modularity

Divisibility

Theta band

agency (d.f. = 1.14)

9.78*

5.97*

31.55*

0.66

0.026

6.42*

0.35

fairness (d.f. = 2.28)

0.51

0.22

0.24

1.76

5.69*

1.88

3.46

agency x fairness (d.f. = 2.28)

11.39*

1.94

1.26

0.05

11.13*

4.84*

9.62*

Alpha band

agency (d.f. = 1.14)

5.64*

3.31

23.93*

0.34

0.17

10.47*

1.26

fairness (d.f. = 2.28)

0.37

1.09

0.44

1.52

2.37

4.57*

7.54*

agency x fairness (d.f. = 2.28)

2.09

0.57

2.05

0.92

5.52*

3.78

6.13*

Beta band

agency (d.f. = 1.14)

0.18

0.01

5.78*

0.08

0.43

2.37

1.07

fairness (d.f. = 2.28)

0.79

0.16

0.39

1.24

0.43

0.13

0.63

agency x fairness (d.f. = 2.28)

19.04*

1.49

2.51

2.27

20.83*

11.66*

13.16*

Gamma band

agency (d.f. = 1.14)

0.09

0.52

15.28*

0.07

0.92

0.32

0.78

fairness (d.f. = 2.28)

0.73

0.55

0.39

1.77

0.84

1.62

2.98

agency x fairness (d.f. = 2.28)

12.09*

1.53

2.75

1.37

9.93*

1.89

2.01

  1. Results of repeated measures ANOVA computed on the considered graph indices in the four frequency bands. F-values are reported. Significant values (p < 0.05, FDR adjusted) are in bold and highlighted by an asterisk.
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