Appendix 2—table 13. Correlations between the volumes of MTL subregions and changes in model-building accuracy from pre-test to post-test in the Navigation Model Building task.

Condition	ROI	r	p	Method
Verbal Memory N=26	Ant-HIP	0.125	0.544	Pearson
	Post-HIP	–0.158	0.438	Spearman
	HIP	0.066	0.749	Pearson
	LHIP	0.025	0.905	Pearson
	RHIP	0.096	0.640	Pearson
	CA1	–0.048	0.816	Pearson
	CA23DG	0.137	0.504	Pearson
	ERC	–0.009	0.965	Pearson
	PHC	0.074	0.721	Spearman
	PRC	0.345	0.085	Pearson
	SUB	0.017	0.936	Pearson
Navigation N=27	Ant-HIP	–0.035	0.863	Spearman
	Post-HIP	0.008	0.969	Pearson
	HIP	0.078	0.701	Pearson
	LHIP	0.046	0.821	Pearson
	RHIP	0.102	0.612	Pearson
	CA1	0.322	0.102	Pearson
	CA23DG	–0.068	0.737	Pearson
	ERC	–0.065	0.746	Pearson
	PHC	–0.038	0.852	Pearson
	PRC	–0.129	0.520	Pearson
	SUB	0.074	0.715	Pearson
Video N=21	Ant-HIP	–0.083	0.722	Pearson
	Post-HIP	–0.231	0.313	Pearson
	HIP	0.039	0.868	Pearson
	LHIP	–0.020	0.931	Pearson
	RHIP	0.092	0.690	Spearman
	CA1	0.129	0.577	Pearson
	CA23DG	–0.181	0.432	Pearson
	ERC	0.203	0.377	Spearman
	PHC	0.046	0.842	Pearson
	PRC	–0.407	0.067	Pearson
	SUB	0.235	0.304	Pearson