Table 2 Summary of statistical analysis results for ERPs in the reactive driving task.

Brain region	ERP	Latency (ms)	Predictor	β	SE	t-value	p value	Cohen’s d	95% CIs
Brain region	ERP	Latency (ms)	Predictor	β	SE	t-value	p value	Cohen’s d	Lower	Upper
Frontal	N2	246	Intercept	− 0.868	0.296	− 2.936	0.004	0.56	− 1.457	− 0.28
	N2	246	Condition	− 0.001	0.065	− 0.009	0.993	0	− 0.13	0.129
	SFN	301	Intercept	− 0.938	0.197	− 4.755	0	0.92	− 1.33	− 0.546
	SFN	301	Condition	0.003	0.057	0.059	0.953	0.01	− 0.11	0.116
Parietal	P2	180	Intercept	1.72	0.413	4.163	0	0.8	0.898	2.542
	P2	180	Condition	0.038	0.077	0.494	0.623	0.09	− 0.115	0.19
	P3	297	Intercept	2.062	0.393	5.25	0	1.01	1.281	2.843
	P3	297	Condition	− 0.137	0.087	− 1.563	0.122	0.3	− 0.311	0.037
Occipital	N1	117	Intercept	− 4.246	0.607	− 6.998	0	1.35	− 5.453	− 3.039
	N1	117	Condition	0.066	0.056	1.191	0.237	0.23	− 0.045	0.177
	P2	215	Intercept	1.775	0.587	3.026	0.003	0.58	0.608	2.942
	P2	215	Condition	0.072	0.083	0.875	0.384	0.17	− 0.092	0.237

β denotes the estimates, SE is the standard error, and Cohen’s d represents the standardized effect size. The LME model analyzed data from 84 observations, which were collected from 28 participants.

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