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Dataset Information

Arterial Spin Labeling Magnetic Resonance Imaging in Healthy Adults: Mathematical Model Fitting to Assess Age-Related Perfusion Pattern.


ABSTRACT:

Objective

To investigate the age-dependent changes in regional cerebral blood flow (CBF) in healthy adults by fitting mathematical models to imaging data.

Materials and methods

In this prospective study, 90 healthy adults underwent pseudo-continuous arterial spin labeling imaging of the brain. Regional CBF values were extracted from the arterial spin labeling images of each subject. Multivariable regression with the Akaike information criterion, link test, and F test (Ramsey's regression equation specification error test) was performed for 7 models in every brain region to determine the best mathematical model for fitting the relationship between CBF and age.

Results

Of all 87 brain regions, 68 brain regions were best fitted by cubic models, 9 brain regions were best

SUBMITTER: Hu Y 

PROVIDER: S-EPMC8236374 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature