. Author manuscript; available in PMC: 2020 Aug 1.

Published in final edited form as: J Cogn Neurosci. 2019 Oct 9;32(2):256–271. doi: 10.1162/jocn_a_01478

Table 4.

Stepwise Regression Models for Performance on the Sentence Processing Tasks. Independent variables included: pMTG=posterior middle temporal gyrus, MTG=middle temporal gyrus, IFGop=inferior frontal gyrus pars opercularis, IFGtri=inferior frontal gyrus pars triangularis, SMG=supramarginal gyrus, AG=angular gyrus, STG=superior temporal gyrus, STGpole=superior temporal gyrus pole, MTGpole=middle temporal gyrus pole, pSTG=posterior superior temporal gyrus. B=unstandardized beta value; SE B=standard error of beta; β=standardized beta

Scores (n=104)	ROIs	R² change	B	SE B	β	t	F-value	Adjusted R²	p-value
Total score							30.9	.466	<.001
	pMTG	.337	−17.24	2.70	−.50	−6.38			<.001
	AG	.122	−15.86	3.50	−.35	−4.54			<.001
	IFGtri	.023	−5.94	2.84	−.16	−2.09			.039

CAN score							16.4	.427	<.001
	AG	.248	−6.51	1.35	−.40	−4.81			<.001
	MTG	.095	−10.15	1.78	−.81	−5.69			<.001
	MTGpole	.062	4.21	2.08	.35	2.03			.045
	SMG	.025	−2.84	1.03	−.26	−2.76			.007
	STG	.026	3.48	1.62	.34	2.15			.034

Non-CAN score							23.7	.524	<.001
	pMTG	.371	−10.44	1.75	−.79	−5.98			<.001
	AG	.069	−4.24	1.26	−.24	−3.35			.001
	IFGop	.046	−3.70	.89	−.32	−4.18			<.001
	STG	.032	6.73	1.83	.61	3.67			<.001
	MTG	.031	−4.28	1.66	−.34	−2.57			.012

Non-CAN residuals							13.6	.329	<.001
	pSTG	.192	−4.16	.73	−.55	−5.73			<.001
	AG	.040
	IFGop	.038	−5.90	1.43	−.74	−4.13			<.001
	SMG	.053	3.49	.84	.45	4.13			<.001
	^*AG	−.017
	IFGtri	.049	4.60	1.68	.46	2.73			.008

=variable excluded.