Cerebral small vessel disease (SVD) is one of the most common vascular causes of dementia, and a major contributor of age-related cognitive decline. We evaluated cerebral perfusion using arterial spin labeling (ASL), in terms of its predictive power of cognitive impairment in a group of SVD patients. We employed a multiple-delay pulsed ASL acquisition and fitted an extended kinetic model to the signal in order to derive cerebral blood flow (CBF) as well as bolus arrival time (BAT) maps. Regression analysis demonstrated that CBF in gray matter (GM) significantly contributed to explaining cognitive impairments in processing speed.
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