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Preprocessing included slice timing for correcting differences in the timing of acquisition between slices, realignment of functional time series for correcting head motion, coregistration of functional and anatomical data, segmentation for extracting grey matter, spatial normalization to the Montreal Neurological Institute MNII) space, and spatial smoothing (Gaussian kernel, 6 mm FWHM).
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In mice urinary concentrations were normalized for creatinine to correct for differences in urine dilution.
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Functional images were corrected for differences in slice timing using 4-point sinc-interpolation, corrected for head movement using FSL's MCFLIRT.
The raw data were corrected for differences using a total lane intensity correction.
Then, functional images were corrected for differences in the acquisition timing of each slice and were motion (realignment) corrected using SPM8.
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