Abstract

developed which accomplishes entirely non-invasive CBF measurements in 3 dimensions within 24 seconds, allowing calculating other flow dynamics, including arterial transit time (ATT). Objective: To determine CBF, ATT and other parameters of perfusion dynamics in normal ageing, AD and MCI using the new ASL-MRI technique. Methods: Fifteen cognitively normal subjects, 6 patients with AD and 4 subjects with MCI were studied on a 4 Tesla MRI scanner. The dynamic ASL-MRI series contained 12 serial 3D GRASE image frames of the brain with variable delay times after labeling. CBF and ATT were obtained from fitting a two-compartment perfusion model to the data. CBF and ATT of the PC as a function of age and disease were determined by linear regressions. Results: Figure 1 depicts CBF and ATT maps from a 65y control subject and 72y AD patient, showing substantial CBF reduction and ATT prolongation in the patient. In CN, CBF is negatively correlated with age (R 0.55, p 0.002), declining 1.5% per year, while ATT increases with age (R 0.27, p 0.04) 0.5% per year. Independent of age, AD was associated with significant CBF reductions (35% lower than controls, p 0.04) while MCI had CBF reductions intermediate between controls and AD. Independent of age, AD was furthermore associated with marked increase of ATT (34% longer than CN, p 0.005). Increased ATT in MCI was a trend (18% longer, p 0.06). CBF alone correctly classified 82% of the patients and 67% of the MCI. Adding ATT improved classification to 100% for AD and 78% for MCI. Conclusions: The new finding is prolonged ATT in AD and MCI. Furthermore, the ATT changes were independent of CBF changes and improved the classification of AD and MCI.

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