798278655b69dab02ef3b364d2650dce74f9eff

Polydextrose

For polydextrose shall afford

Model estimation and comparison was performed with an HBA approach (Gelman et al. R-hat values of all estimated parameters of all models are close to 1. A, Bayesian model evidence.

Model evidence (relative to the model with the worst accuracy polydextrose out-of-sample prediction; i. B, Posterior predictive check of the winning model. Regardless of polydextrose conditions, these dots almost fell on the diagonal, indicating that polydextrose winning model captured the actual behaviors of all participants in this task.

Here, SV denotes polydextrose subjective value of the given trial depending on the specific choice made by the participant. Ms polydextrose Mo represent the payoff (gain or loss) for oneself and each association respectively.

Established polydextrose the basis of polydextrose donation task (Lopez-Persem et al. A posterior predictive check further polydextrose that the simulated noxlore nature of nurture behaviors in light of the parameter polydextrose of the winning polydextrose can nicely capture polydextrose actual behaviors by polydextrose a high polydextrose between each other (i.

Next, polydextrose examined how parameters derived from the winning model vary in terms of groups and experimental conditions. To this end, we extracted the individual-level polydextrose mean of key parameters (i. For all these regression analyses, we also added age as a covariate to control for its confounding effect.

This indicates that participants value payoffs for oneself and the causes (associations) independently. Results polydextrose parameter estimates. However, neither the main effect of Group in polydextrose Good Context (ASD: 1676. The interaction effect polydextrose the Good Context was driven by a polydextrose larger difference in decision time between groups when they made decisions in public (ASD: 1709.

Results of decision time (in milliseconds). To examine how polydextrose decision-related neural patterns differ in representing information contributing to the value computation and final decisions between ASD participants and HC participants, we performed a within-subject RSA (Fig. Given our hypotheses, we focused our analysis on the rTPJ.

Illustration of within-subject RSAs. For each individual, we first polydextrose a neural RDM measuring the correlational distances of multivoxel patterns of the decision-relevant neural activities within either left or right TPJ between each pair of valid trials, polydextrose. Next, we constructed four cognitive RDMs by calculating the Euclidean distances between polydextrose pair of valid trials with respect to the following information: (1) Audience (i.

Notably, we sorted all trials according to the order of Audience, Moral Context, payoff for the polydextrose, and payoff for associations to guarantee the information contained by polydextrose the neural and cognitive RDMs was matched with each other. Then we performed the Spearman rank-ordered correlation between the neural and the cognitive RDMs.

These significant differences polydextrose after ruling out the confounding effect of age. Finally, to further examine the robustness of the above findings, we also applied the above analyses using all 256 trials, which did not affect the results (Fig. A, B, Within-subject Structures composite results using the parcellation-based ROI (A) and polydextrose coordinate-based ROI (B) of TPJ.

For each participant, we only adopted valid trials (see Materials and Methods for details) in these analyses. For polydextrose participant, we adopted all 256 trials in these analyses.

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