Table 2: Description of the linear mixed models.

Model specification is using the R syntax. AIC: Akaike information criterion; BIC: Bayesian information criterion; LL: log-likelihood value; EEG mean: individual mean amplitude ERPs time-locked to the predictors in time window 500ms-650ms or 700ms-950ms; Predictability: Predictability condition (“High Predictability”, HP; “Low Predictability”, LP); HS: mean-centered hypnotizability according to the SHSS:C; ROI: region of interest (Figure 2). Models m1, m2, and m3 are detailed in Table 3, Table 4, and Table 5, respectively.

Model	Model Specifications	df	AIC	BIC	LL	Deviance
Behavioral Data
m1	RT ~ Predictability + Predictability:Group + Predictability:HS + Predictability:Group:HS + (1 | Participant)	14	10147	10226	−5059	10119
Neurophysiological Data
500ms-650ms
m2	EEG mean ~ Predictability + Predictability:ROI + Predictability:Group + Predictability:HS + Predictability:Group:ROI + Predictability:HS:ROI + Predictability:Group:HS + Predictability:Group:HS:ROI + (1 | ROI) + (1 | Participant)	27	34863	35063	−17405	34809
700ms-950ms
m3	EEG mean ~ Predictability + Predictability:ROI + Predictability:Group + Predictability:HS + Predictability:Group:ROI + Predictability:HS:ROI + Predictability:Group:HS + Predictability:Group:HS:ROI + (1 | ROI) + (1 | Participant)	27	37278	37478	−18612	37224