Table 2. Choice Model Results.

Average of best-fitting beta weights for Choice Model.

Predictor	Beta (SE)	Confidence Intervals
Immediate reward presentation
Main effect	−4.0701 (0.634)***	[−5.3434 −2.7967]
DATE/DAYS (DATE: 1, DAYS: −1)	0.1429 (0.226)	[−0.3107 0.5965]
Choice (Delayed: 1, Immediate: −1)	0.2880 (0.211)	[−0.1351 0.7111]
Delayed reward presentation
Main effect	0.3278 (0.706)	[−1.0903 1.7460]
DATE/DAYS (DATE: 1, DAYS: −1)	0.1173 (0.318)	[−0.5213 0.7560]
Choice (Delayed: 1, Immediate: −1)	1.5338 (0.330)****	[0.8703 2.1972]

Regressors are immediate and delayed reward presentation (main effect), and these regressors parametrically modulated by DATE/DAYS (−1 = DAYS; 1 = DATE), and choice (1 = delayed reward chosen; −1 = immediate reward chosen).

^***p < 0.001,

^****p < 0.0001.