Rmones moderated the neural response to social context, we correlated individual differences in AI RG7800MedChemExpress RG7800 activation with our developmental measures. Results order Luminespib showed a significant positive association between estradiol level and AI activation for Social > Monetary Play (r ?0.27, P ?0.048, n ?56), indicating that girls with higher levels of estradiol tended to show increased activation of bilateral AI for risk taking in the|Social Cognitive and Affective Neuroscience, 2017, Vol. 12, No.Fig. 4. Regions of activation when comparing social rank with monetary feedback contexts for (A) risk taking (i.e. Social > Monetary Play), and for (B) positive outcomes (i.e. Social > Monetary Gain) as well as (C) negative outcomes (i.e. Social > Monetary Loss) upon the choice to play, presented at P < 0.001 uncorrected, k ! 10 voxels.Fig. 5. (A) Average activation, across the group, in bilateral AI for trials on which participants chose to play--plotted separately for gain and loss outcomes--and for trials on which participants chose to pass, plotted separately for the monetary (white bars) and social rank feedback context (gray bars). Error bars represent standard errors. (B) Scatterplots of estradiol level plotted against risk taking-related (i.e. Play ixation) insula activation in the monetary feedback context (left) and social rank feedback context (right).social rank compared to monetary feedback context. Specifically, higher estradiol levels corresponded with increased AI activation for risk taking (compared to fixation) in the social rank feedback context (r ?0.39, P ?0.003), but not in the monetary feedback context (r ?0.21, P ?0.12); these correlations were marginally different from one another (Steiger's Z ?1.8, P ?0.073; Figure 5B).Results of a linear regression analysis in which AI activation during risk taking in the social rank feedback context was predicted by estradiol level while controlling for age, showed that estradiol level (b ?0.34, P ?0.017) but not age (b ?0.11, P ?0.44) accounted for 16 of the variance in AI activation, F(2, 53) ?5.2, P ?0.009. Results of a regression analysis with AI activation during risk taking in the monetary feedback context as theZ. A. Op de Macks et al.|dependent variable showed that neither estradiol level (b ?0.18, P ?0.24), nor age (b ?0.07, P ?0.63) accounted for the individual differences AI activation, F(2, 53) ?1.3, P ?0.27. Together, these findings suggest that girls with higher estradiol levels-- independent of age--are more likely to engage bilateral AI for risky decisions in the social rank feedback context, but not in the monetary feedback context. None of the other developmental measures were associated with differences in AI activation between the feedback contexts (testosterone level: r ?0.17, P ?0.20, n ?57; pubertal stage: r ?0.06, P ?0.66, n ?58; BMI: r ?0.09, P ?0.53, n ?56). See Supplementary Materials for correlations of individual differences in AI activation with differences in RPI, subjective task experience and task behavior.consistently inducing status-seeking behavior (i.e. increased risk taking) and/or changes in reward-related brain processes across the group. Our goal with the current design of the task was to control for the visual experience during the feedback phases, which may have resulted also in a more similar emotional experience across the two types of feedback. In future studies, the motivation to increase social status as opposed to winning money could be differentiated mo.Rmones moderated the neural response to social context, we correlated individual differences in AI activation with our developmental measures. Results showed a significant positive association between estradiol level and AI activation for Social > Monetary Play (r ?0.27, P ?0.048, n ?56), indicating that girls with higher levels of estradiol tended to show increased activation of bilateral AI for risk taking in the|Social Cognitive and Affective Neuroscience, 2017, Vol. 12, No.Fig. 4. Regions of activation when comparing social rank with monetary feedback contexts for (A) risk taking (i.e. Social > Monetary Play), and for (B) positive outcomes (i.e. Social > Monetary Gain) as well as (C) negative outcomes (i.e. Social > Monetary Loss) upon the choice to play, presented at P < 0.001 uncorrected, k ! 10 voxels.Fig. 5. (A) Average activation, across the group, in bilateral AI for trials on which participants chose to play--plotted separately for gain and loss outcomes--and for trials on which participants chose to pass, plotted separately for the monetary (white bars) and social rank feedback context (gray bars). Error bars represent standard errors. (B) Scatterplots of estradiol level plotted against risk taking-related (i.e. Play ixation) insula activation in the monetary feedback context (left) and social rank feedback context (right).social rank compared to monetary feedback context. Specifically, higher estradiol levels corresponded with increased AI activation for risk taking (compared to fixation) in the social rank feedback context (r ?0.39, P ?0.003), but not in the monetary feedback context (r ?0.21, P ?0.12); these correlations were marginally different from one another (Steiger's Z ?1.8, P ?0.073; Figure 5B).Results of a linear regression analysis in which AI activation during risk taking in the social rank feedback context was predicted by estradiol level while controlling for age, showed that estradiol level (b ?0.34, P ?0.017) but not age (b ?0.11, P ?0.44) accounted for 16 of the variance in AI activation, F(2, 53) ?5.2, P ?0.009. Results of a regression analysis with AI activation during risk taking in the monetary feedback context as theZ. A. Op de Macks et al.|dependent variable showed that neither estradiol level (b ?0.18, P ?0.24), nor age (b ?0.07, P ?0.63) accounted for the individual differences AI activation, F(2, 53) ?1.3, P ?0.27. Together, these findings suggest that girls with higher estradiol levels-- independent of age--are more likely to engage bilateral AI for risky decisions in the social rank feedback context, but not in the monetary feedback context. None of the other developmental measures were associated with differences in AI activation between the feedback contexts (testosterone level: r ?0.17, P ?0.20, n ?57; pubertal stage: r ?0.06, P ?0.66, n ?58; BMI: r ?0.09, P ?0.53, n ?56). See Supplementary Materials for correlations of individual differences in AI activation with differences in RPI, subjective task experience and task behavior.consistently inducing status-seeking behavior (i.e. increased risk taking) and/or changes in reward-related brain processes across the group. Our goal with the current design of the task was to control for the visual experience during the feedback phases, which may have resulted also in a more similar emotional experience across the two types of feedback. In future studies, the motivation to increase social status as opposed to winning money could be differentiated mo.
