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Brain activation (% signal change) in these regions when making decisions was extracted using a method suggested by learn more Mumford (http://mumford.fmripower.org/perchange_guide.pdf). Robust regression was used to minimize the impact of outliers in the behavioral data, using iteratively reweighted least squares implemented in the robustfit command in the MATLAB Statistics Toolbox (Tom et al., 2007). Reported r-values reflect (non-robust) Pearson product-moment correlation values, whereas the reported p-values and regression lines are based on the robust regression results (Tom et al., 2007). Results Behavior results Demographic variables Participants in the study fell within the normal range of the body mass index (BMI). Average BMI was 21.88 �� 1.62, with a range of 19.1�C25. IQ scores were all within a normal range (118.29 �� 8.6, range = 103�C132). Participants reported 2.57 �� 1.88 on the hunger rating scale (1-not at all hungry; 10-extremely hungry), reflecting the fact that they were being evaluated in a non-food deprived state. With regard to dietary intake, participants reported consuming 2.95 �� 2.15 servings/day of vegetables and 1.0 �� 0.84 servings/day of fatty and sugary snacks. Participants reported consuming significantly more vegetables than snacks in their daily life [T(23) = 3.52, p MRIP on consumption of vegetables or snacks, BMI, IQ, or IGT net scores and hunger ratings. Partial correlations Table ?Table11 shows partial correlations among the following variable measures: vegetables, snacks, BMI, IQ, the IGT net scores, and hunger ratings after controlling for age and gender. Vegetable consumption did not correlate with consumption of snacks (r = ?0.01, p > 0.05). Although these relationships were not statistically significant, vegetable and snack consumption were negatively and positively correlated with mTOR inhibitor BMI (r = ?0.19, r = 0.21, respectively). Moreover, none of the variables were significantly correlated with the IGT net scores. Finally, the more vegetables the participants consumed in their daily life, the higher their self-reported hunger rating prior to the fMRI session (r = 0.43, p