All subjects underwent an [18F]FDG–PET imaging session. [18F]FDG–PET scans were performed by a General Electric Discovery LS PET/CT or a multi-ring General Electric Discovery. The [18F]FDG–PET acquisition procedures conformed to the European Association of Nuclear Medicine guidelines (Varrone et al., 2009 (link)). Static emission images were acquired 45 min after injecting 185–250 MBq of [18F]FDG via a venous cannula, with a 15-min scan duration. Data obtained from steady-state static [18F]FDG–PET acquisition were demonstrated to be comparable to the [18F]FDG–PET data obtained from dynamic quantitative acquisition procedures (Signorini et al., 1999 (link)). All images were reconstructed using an ordered subset-expectation maximization algorithm. Attenuation correction was based on CT scans.
Image pre-processing was performed using the SPM12 software running in Matlab (MathWorks Inc., Sherborn, MA, United States). First, each [18F]FDG–PET image was spatially normalized to a specific [18F]FDG–PET template in the MNI space (Della Rosa et al., 2014 (link)). Images were spatially smoothed with an isotropic 3D Gaussian kernel (Full width at half maximum FWHM: 8-8-8 mm). Global mean scaling was applied to each image to account for between-subject uptake variability (Perani et al., 2014 (link)).
Image pre-processing was performed using the SPM12 software running in Matlab (MathWorks Inc., Sherborn, MA, United States). First, each [18F]FDG–PET image was spatially normalized to a specific [18F]FDG–PET template in the MNI space (Della Rosa et al., 2014 (link)). Images were spatially smoothed with an isotropic 3D Gaussian kernel (Full width at half maximum FWHM: 8-8-8 mm). Global mean scaling was applied to each image to account for between-subject uptake variability (Perani et al., 2014 (link)).
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