Table 3. Logistic regression model of Spectral Parameterization Resolved in Time (SPRiNT) parameters for predicting condition (eyes-closed vs eyes-open), with model fit error (mean absolute error [MAE]) as a predictor.

Predictors	Condition
	Log-Odds	CI	p
(Intercept)	–1.37	–8.83–4.07	0.620
Mean alpha centre frequency	0.23	–0.05–0.51	0.115
Std alpha centre frequency	–0.15	–1.08–0.79	0.751
Mean alpha power	–6.62	–8.73 to –4.73	<0.001
Std alpha power	5.15	1.05–9.46	0.016
Mean aperiodic slope	2.63	1.60–3.73	<0.001
Std aperiodic slope	–3.79	–10.21–2.89	0.253
Model fit MAE	59.96	–95.00–215.29	0.447
Observations	355
R2 Tjur	0.433