A region of inferior parietal lobule was also found to track estimation uncertainty. Such a finding relates to previous studies that have assessed neural correlates of ambiguity during economic decision-making (Bach et al., 2011 and Huettel et al., 2006). In those studies, subjects were provided with partial information regarding the probabilities associated with obtaining a reward outcome and could not improve

their estimate of those probabilities through sampling. In contrast, in our case, estimation uncertainty reduces over trials as the number of samples of an option increases provided there is no jump in the outcome probabilities. 3-Methyladenine mw Although findings of neural overlap must be treated with caution, by showing that ambiguity and estimation uncertainty do appear to engage at least partly overlapping regions, our finding suggests that the two may engage similar underlying computational processes. Now turning to risk, we found significant correlations with this variable in inferior frontal gyrus as well as a region of lingual gyrus bilaterally.

In previous studies describing neural representations of risk, activity has also been reported in the inferior frontal gyrus (Huettel et al., 2005) and the adjacent anterior insula (Huettel et al., 2005; Preuschoff et al., 2008). Other studies have reported activations in additional brain regions not found at our whole-brain-corrected threshold, including the anterior cingulate cortex (Christopoulos et al., DAPT price 2009) and the intraparietal sulcus. Furthermore, we found activity in the lingual gyrus, an area typically not found to correlate with risk per se, although Callan et al. (2009) found that lingual gyrus is involved in tracking resolution of uncertainty, and Bruguier et al. (2010) reported enhanced lingual gyrus activation when insider trading risk increased in the context of a financial market. One potential account for the differences in activation

patterns found here is that because we are modeling other uncertainty components at the same time and therefore accounting for confounding variance, this confers found a greater sensitivity to uncover signals specifically pertaining to risk on the present study, as opposed to those confounding variables. Furthermore, in many previous studies assessing risk perception, reward probabilities were presented explicitly in a descriptive fashion (Christopoulos et al., 2009, Huettel et al., 2005 and Preuschoff et al., 2008; also see d’Acremont et al., 2009), while in our task, neural representations of risk are acquired through direct sampling from a distribution of reward. Thus, putative differences between neural systems involved in descriptive versus experiential learning may account partially for involvement of distinct brain areas to those found in studies on risk representations in descriptive tasks. Finally, we observed activity in cuneus correlating with the learning rate.