Dynamic PET scans were acquired on the High Resolution Research Tomograph scanner (Siemens/CTI, Knoxville, TN, USA) for 60 min starting with [18F]-FE-PE2I bolus injection over 1 min. After reconstruction and motion correction52 , individual images were registered to MNI space by registering the PET image to the high-resolution MPRAGE image of the same subject and visit using SPM1253 . The MPRAGE images were spatially normalized to MNI space54 (link) and the estimated warping parameters were subsequently applied to the corresponding PET images. The registration and normalization quality of the MPRAGE and PET scans was checked visually. Three bilateral regions of interest were identified in each PET image; the putamen and caudate from the AAL template in the MNI space55 (link), and a hand-drawn SN mask which was used in our previous studies56 (link)–58 . For every region, a time-activity curve was extracted and modeled using the simplified reference tissue model (SRTM) with the cerebellum as reference region to estimate the regional binding potential (BPND) and relative input parameter (R1). A voxel-level approach, still using the cerebellum curve as reference, was applied to normalized images to create parametric BPND maps59 (link).
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