Table 2.

Differential analysis of topological properties of ALV networks with different mental states

Topological Properties	$F_{\theta }-A_{\theta }$	$F_{\alpha }-A_{\alpha }$	$F_{\beta }-A_{\beta }$
Deg	0.063	0.041	0.023
CPL	0.021	0.006	0.032
CC	0.008	0.012	0.031

Data analysis was performed using one-way ANOVA. $F_{\theta }$ indicates the fatigue state Theta band. $A_{\theta }$ indicates the awake state Theta band. $F_{\alpha }$, $A_{\alpha }$, $F_{\beta }$, $A_{\beta }$ represent the fatigue and awake states in the Alpha and Beta bands. Significant differences ($p<0.05$) between awake and fatigue state are highlighted in bold.