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. 2017 Jan 6;37(9):3184–3192. doi: 10.1177/0271678X16683690

Table 1.

Regression coefficients for age and sex (n = 186).

Age
Sex (F > M)
Model 1 Model 2 Model 1 Model 2
Spatial CoV (%) β = .207 ċċ p = .004† β = .163 ċċ p = .028* β = −.245 ċċ p = .001† β = −.204 ċċ p = .004†
ATT (ms) β = .158 ċċ p = .031* β = .122 ċċ p = .106 β = −.273 ċċ p < .001† β = −.242 ċċ p=.001†
CBFnon-crushed (mL/100 g/min) β = −.164 ċċ p = .026* β = −.144 ċċ p = .051 β = .108 ċċ p = .142 β = .071 ċċ p = .321
CBFcrushed (mL/100 g/min) β = −.186 ċċ p = .011* β = −.160 ċċ p = .032* β = .231 ċċ p = .002† β = .185 ċċ p = .009†

Note: Estimated standardized coefficients (β) and permutation-adjusted p-values are shown for separate linear regressions between demographic parameters age and sex (predictors) and perfusion parameters (dependent variables). Models 1 and 2 are unadjusted and adjusted for head motion and partial volume effects, respectively. M > F stands for higher mL/100 g/min in male compared to female. *p < 0.05, †p < 0.01.

ATT: arterial transit time; CBF: cerebral blood flow; CoV: coefficient of variance.