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. Author manuscript; available in PMC: 2024 Dec 1.
Published in final edited form as: J Magn Reson Imaging. 2023 Apr 11;58(6):1892–1900. doi: 10.1002/jmri.28722

Table 2:

Summary of the correlation and regression (adjusted for age, sex and antihypertensive medication) analyses evaluating the effect of MAP on cerebral hemodynamics across age groups.

Spearman’s
correlation
Linear regression
Age
groups
Dependent
variable
ρ p value Beta B (SE) p value
Young group Gray matter CBF −0.180 0.001 −0.101 −0.001 (0.000) 0.040
White matter CBF 0.011 0.841 −0.012 −0.000 (0.000) 0.834
Gray matter ATT 0.083 0.120 −0.016 0.000 (0.000) 0.741
White matter ATT 0.044 0.411 −0.018 0.000 (0.000) 0.713
Younger-old group Gray matter CBF −0.295 <0.001 −0.271 −0.002 (0.001) <0.001
White matter CBF −0.204 0.002 −0.241 −0.002 (0.000) <0.001
Gray matter ATT 0.130 0.053 0.032 0.000 (0.000) 0.598
White matter ATT 0.125 0.064 0.085 0.000 (0.000) 0.185
Oldest-old group Gray matter CBF −0.284 0.005 −0.176 −0.002 (0.001) 0.079
White matter CBF −0.232 0.024 −0.177 −0.001 (0.001) 0.089
Gray matter ATT 0.119 0.249 0.095 0.000 (0.000) 0.334
White matter ATT 0.022 0.834 −0.002 0.000 (0.000) 0.981

The dependent variables were log transformed in linear regression models, which include age, sex, anti-hypertensive use and MAP as independent variables. ρ= Spearman’s rho correlation coefficient. Beta and B represent standardized and unstandardized coefficients, respectively. SE=Standard error.