Table 1.

Summary of regression analyses between each of brain measures and alternative risk estimates

	Expected Utility Model	The percentages (%) of participants' choices				Mean- Variance Model
	risk tolerance	% of risky choices over all probability	% of risky choices on small probabilities	% of risky choices on intermediate probabilities	% of risky choices on large probabilities	Markowitz's risk-return parameter	Weber's risk-return parameter
Association with the node strength of amygdala
Left hemisphere	r=0.265, p=0.007	r=0.256, p=0.009	r=0.154, p=0.118	r=0.256, p=0.009	r=0.135, p=0.173	r=−0.226, p=0.021	r=−0.270, p=0.006
Right hemisphere	r=0.261, p=0.007	r=0.262, p=0.007	r=0.176, p=0.073	r=0.266, p=0.006	r=0.119, p=0.230	r=−0.227, p=0.021	r=−0.270, p=0.006
Association with functional connectivity
Left hemisphere	r=0.434, p<0.001	r=0.406, p<0.001	r=0.249, p=0.011	r=0.423, p<0.001	r=0.171, p=0.083	r=−0.397, p<0.001	r=−0.392, p<0.001
Right hemisphere	r=0.424, p<0.001	r=0.414, p<0.001	r=0.316, p=0.001	r=0.400, p<0.001	r=0.213, p=0.030	r=−0.367, p<0.001	r=−0.336, p<0.001
Association with white matter tract strength
Left hemisphere	r=−0.140, p=0.155	r=−0.082, p=0.406	r=−0.170, p=0.084	r=−0.140, p=0.153	r=0.197, p=0.044	r=0.147, p=0.135	r=0.108, p=0.271
Right hemisphere	r=−0.278, p=0.004	r=−0.238, p=0.015	r=−0.209, p=0.033	r=−0.290, p=0.003	r=0.049, p=0.617	r=0.234, p=0.016	r=0.260, p=0.007
Association with GMV in amygdala
Left hemisphere	r=0.343, p=0.001	r=0.269, p=0.006	r=0.298, p=0.002	r=0.268, p=0.006	r=0.054, p=0.586	r=−0.323, p=0.001	r=−0.309, p=0.001
Right hemisphere	r=0.270, p=0.006	r=0.182, p=0.065	r=0.237, p=0.015	r=0.187, p=0.058	r=0.001, p=0.994	r=−0.224, p=0.022	r=−0.225, p=0.022

Bold indicates a significant association (p<0.05).