Table 5.

r and p^a and Rho and Z^b values for correlations between PCA factors and DTI metrics

	Working memory				Motor				Problem solving
	r	p	Rho	Z	r	p	Rho	Z	r	p	Rho	z
Genu
FA	.63	.0010	.65	.0020	.64	.0008	.67	.0012	.60	.0019	.68	.0012
ADC	.43	.0349	.44	.0331	.67	.0003	.67	.0013	.67	.0004	.69	.0010
Splenium
FA	.02	.9293	.07	.7545	.35	.0977	.26	.2186	.29	.1692	.29	.1649
ADC	.31	.1453	.39	.0623	.57	.0040	.69	.0009	.50	.0133	.50	.0163
Fornix
FA	.63	.0009	.57	.0067	.68	.0003	.74	.0004	.68	.0003	.61	.0037
ADC	.67	.0004	.61	.0035	.66	.0005	.77	.0002	.61	.0014	.61	.0033
Superior cingulum
FA	.34	.1074	.33	.1140	.59	.0026	.50	.0158	.17	.4266	.16	.4429
ADC	.44	.0325	.50	.0169	.54	.0067	.51	.0154	.21	.3372	.24	.2549
Posterior cingulum
FA	.07	.7336	.05	.8024	.19	.3734	.02	.9137	.23	.2814	.26	.2124
ADC	.13	.5512	.26	.2064	.29	.1763	.32	.1301	.35	.0980	.40	.0545
inferior cingulum
FA	.36	.0817	.38	.0665	.47	.0217	.42	.0453	.49	.0149	.46	.0280
ADC	.22	.3129	.30	.1467	.20	.3429	.33	.1140	.17	.4336	.25	.2363
inferior long. fasciculus
FA	.16	.4510	.08	.7167	.56	.0044	.37	.0750	.51	.0114	.44	.0367
ADC	.01	.9806	.07	.7355	.40	.0548	.46	.0265	.30	.1485	.29	.1675
Uncinate fasciculus
FA	.29	.1778	.33	.1188	.65	.0006	.62	.0032	.40	.0531	.43	.0414
ADC	.41	.0477	.50	.0173	.63	.0010	.71	.0007	.44	.0298	.40	.0535

^aSingle regression.

^bSpearman rank.

Correlations significant at the .05 level are in red; those meeting family-wise Bonferroni correction (p=.012, 1-tailed, a=.05, n=8) are in red and bold.