. 2019 Jul 2;23:101919. doi: 10.1016/j.nicl.2019.101919

Table 5.

Summary of backward stepwise regressions predicting five DCM connection components from lesion variables.

	Overall model
DCM Variable	(df) F-stat	p-value	R²	Lesion Predictors	p-value
CC1: RH connectivity	(3,26) 4.48	0.012*	0.341	LC3: β = −0.280, t = −1.759	0.090
				LC4: β = 0.404, t = 2.535	0.018*
				LC5: β = −0.315, t = −1.976	0.059^
CC2: Target bilateral frontal ROIs	–	–	–	–	–
CC3: IntraLH, target frontal ROIs	(3,26) 3.15	0.042*	0.266	LC2: β = 0.529, t = 2.705	0.012*
				LC3: β = 0.311, t = 1.738	0.094
				Vol.: β = −5.853⁻⁰⁶, t = −2.269	0.032*
CC4: IntraLH, target LITG	(2,27) 3.91	0.032*	0.225	LC1: β = −0.353, t = −1.680	0.104
CC4: IntraLH, target LITG	(2,27) 3.91	0.032*	0.225	Vol.: β = 7.417⁻⁰⁶, t = 2.797	0.009**
CC5: Target bilateral posterior ROIs	(4,25) 3.32	0.026*	0.347	LC1: β = 0.443, t = 1.951	0.062^
				LC4: β = 0.360, t = 1.751	0.092
				LC5: β = 0.594, t = 3.385	0.002**
				Vol.: β = −8.528⁻⁰⁶, t = −2.515	0.019*

Notes: Dashes indicate intercept-only model for DCM PC2 predicted by lesion variables. CC = connectivity component, LC = lesion component, RH = Right hemisphere, ROIs = regions of interest, IntraLH = left intrahemispheric connections, Vol. = total lesion volume. Variance inflation factors (VIFs) for all models were < 3.0. Significance for p-values: ^ 0.08 <> 0.05, * < 0.05, ** < 0.01, *** < 0.001.