Table 1.

Independent ability to predict spatial neglect as assessed using logistic regression

Region	P value	P value (partial model)
AR	0.0393	—
Corpus Callosum	0.9695	0.2210
Cingulum	0.0267	0.1207
CT	0.0039*	—
Fornix	0.8752	0.9642
IOF	0.0077	0.0059*
OR	0.635	—
SLF	0.0161	0.7829
SOF	0.4817	0.0506
UF	0.0133	0.0069
Volume	0.0111	0.00001*

Note: A logistic regression was conducted with the absence or presence of spatial neglect as the dependent variable and the extent of injury to each of the white matter fiber tracts from the Jülich atlas as the independent variables. Overall lesion volume was included as a predictor. Logistic regression assesses partial correlation—measuring whether adding the variable improves the model when all the other variables are already known. Asterisks (*) highlight regions that survived a 5% Bonferroni correction (P < 0.0045 for the 11-factor comparison). We also conducted a partial model where the AR, Corpus Callosum, and OR were excluded (Bonferroni threshold P < 0.00625 for the 8-factor comparison). The results from this partial model are shown in the right column.