. 2019 Jul 23;24:101952. doi: 10.1016/j.nicl.2019.101952

Table 3.

Variance in patient fingerprints explained by clinical variables.

Fingerprint target region	Variance explained (R²)	Model
Fingerprint target region	Variance explained (R²)	F (regression df, residual df)	p
L vprem	0.238	3.95 (3,38)	0.015
R SMG	0.230	3.79 (3,38)	0.018
L caud	0.245	4.12 (3,38)	0.013
L SMG	0.242	4.04 (3,38)	0.014

Multiple linear regression analysis results indicating the amount of variance in pars opercularis (Pop) functional connectivity explained by a combination of 3 clinical variables in brain tumour patients: histological grade, volume of lesion overlap with anatomically-defined “Broca's area” and volume of lesion overlap with the healthy control task-activated fluency network. Functional connectivity between Pop and four network regions was significantly predicted by the clinical characteristics of individual patients (all p < 0.05). The coefficients for individual clinical predictors are detailed in the Results. L/R = left/right hemisphere. Vprem = ventral premotor cortex. SMG = supramarginal gyrus. Caud = caudate nucleus.