Table 2.

The results of 48 linear mixed effect models (24 for Dataset 1 and 24 for Dataset 2), where the response variable was the phase of the signal. The effects of choices in artifact removal, EEG transformation, and filter are outlined in the table. The effects are shown separately for each frequency bands. Significant p-values are marked with asterisks (*).

Category	Factor	Model Number	Band	Dataset 1		Dataset 2
				p	F	p	F
Peaks	Artifact removal	1	Theta	0.8540	0.03	0.9835	0
		2	Mu	0.9414	0.01	0.8791	0.02
		3	Beta	0.7915	0.07	0.9774	0
		4	Gamma	0.7467	0.1	0.8507	0.04
	EEG transformation	5	Theta	0.0016 *	6.43	0.7114	0.34
		6	Mu	0.4775	0.74	0.7152	0.34
		7	Beta	0.4565	0.78	0.8154	0.2
		8	Gamma	0.5925	0.52	<0.0001 *	37.2
	Filter	9	Theta	<0.0001 *	64.94	<0.0001 *	199.87
		10	Mu	<0.0001 *	28.92	<0.0001 *	124.03
		11	Beta	<0.0001 *	19.76	<0.0001 *	91.64
		12	Gamma	0.0534	3.74	<0.0001 *	248.94
Troughs	Artifact removal	13	Theta	0.4906	0.48	0.4763	0.51
		14	Mu	0.918	0.01	0.8828	0.02
		15	Beta	0.9619	0	0.9739	0
		16	Gamma	0.3493	0.88	0.8176	0.05
	EEG transformation	17	Theta	<0.0001 *	16.09	0.3556	1.03
		18	Mu	0.3422	1.07	0.7311	0.31
		19	Beta	0.8887	0.12	0.119	2.13
		20	Gamma	0.0096 *	4.65	<0.0001 *	137.21
	Filter	21	Theta	0.0785	3.1	<0.0001 *	162.35
		22	Mu	0.0095 *	6.74	<0.0001 *	129.54
		23	Beta	<0.0001 *	15.2	<0.0001 *	94.82
		24	Gamma	0.1117	2.53	<0.0001 *	161.87