Table 3.

Mean (SD) and t-test results of brain network characteristics.

	Brain network characteristics	df	Peer-feedback	Non-feedback	t	p	Cohen’s d
Delta	CC	26	0.28 (0.02)	0.28 (0.02)	0.24	0.814	0.09
	AC	26	0.19 (0.05)	0.17 (0.05)	2.65	0.017	1.04
	GE	26	0.24 (0.02)	0.24 (0.02)	−1.65	0.110	0.65
	LE	26	0.34 (0.01)	0.34 (0.01)	−1.31	0.202	0.51
Theta	CC	26	0.28 (0.02)	0.28 (0.03)	<0.001	1	<0.001
	AC	26	0.19 (0.05)	0.17 (0.04)	−0.86	0.395	0.34
	GE	26	0.24 (0.01)	0.24 (0.01)	0.33	0.746	0.13
	LE	26	0.34 (0.01)	0.35 (0.01)	−1.14	0.265	0.45
Alpha	CC	26	0.28 (0.03)	0.28 (0.03)	−0.36	0.726	0.14
	AC	26	0.18 (0.05)	0.18 (0.04)	0.06	0.955	0.02
	GE	26	0.24 (0.01)	0.24 (0.01)	−0.10	0.923	0.04
	LE	26	0.35 (0.01)	0.35 (0.01)	−0.39	0.703	0.15
Beta	CC	26	0.28 (0.02)	0.28 (0.03)	−1.51	0.144	0.59
	AC	26	0.19 (0.05)	0.17 (0.04)	2.64	0.014	1.04
	GE	26	0.24 (0.02)	0.24 (0.01)	0.63	0.534	0.25
	LE	26	0.34 (0.01)	0.35 (0.01)	−2.59	0.016	1.02

CC, clustering coefficient; AC, assortativity coefficient; GE, global efficiency; LE, local efficiency. Significant effects are marked in bold.