Table 2.

Statistical values of predicting effects modeled in mixed effect GLM analysis

EffectAll trial periodsChoice periodDelay period
dft valuep valuedft valuep valuedft valuep value
aPFC6510.860.406510.350.726560.300.77
vmPFC6515.870.0000***6514.520.0000***6564.400.0000***
AuC410.820.4241−1.990.05*41−2.050.04*
IR651−0.130.906510.210.83
aPFC × AuC651−3.800.0002***651−2.760.006**656−2.860.004**
aPFC × IR651−2.300.02*6510.530.57
vmPFC × IR6513.280.001**6511.480.14
AuC × IR651−1.970.05*651−2.150.03*
aPFC × IR × AuC6511.150.256511.210.23
Constant6512.200.02*651−1.670.10656−1.660.10
  • VS activation is predicted by vmPFC and aPFC activations with delay discounting (AuC) and IR value modulations. Separate models were tested for the full-trial, choice, and delay periods. For the delay period model, IR-related effects were not included because their potential impact on decision value should occur only during the choice period.

  • *p < 0.05;

  • **p < 0.01;

  • ***p < 0.001.