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Images were slice time corrected and spatially realigned, and then co-registered to a segmented structural image using the mean functional volume.
The normalization parameters determined for the mean functional volume were then applied to the corresponding functional image volumes for each subject.
Prior to statistical analysis the functional volumes were spatially realigned to the first volume of the series and a mean functional volume was generated for each individual to which the anatomical images were then coregistered.
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A mean functional image volume was constructed for each subject for each run from the realigned image volumes.
The mean functional MRI volume and MP-RAGE were co-registered using mutual information, and the MP-RAGE segmented and normalized to the Montreal Neurological Institute MNII) T1 template.
The T1-weighted structural image was coregistered to the mean of the functional volumes.
The images were stereotactically normalised into the standard space defined by the Montreal Neurological Institute MNII) template using the mean of the functional volumes, and smoothed with a Gaussian filter of 6 mm full-width at half-maximum.
The images were then stereotactically normalized into the standard space defined by the Montreal Neurological Institute MNII) template using the mean of the functional volumes, and smoothed with a Gaussian filter of 6 mm full-width at half maximum to increase signal-to-noise ratio and facilitate group analysis.
In the first step, we carried out 3D motion correction by aligning each functional volume to the mean image of all volumes.
On the spatially aligned SC SPECT image, two relative metrics of functional liver volume (FLV) and liver function magnitude were calculated: the ratio of an uptake threshold-defined functional volume to ALV and the ratio of mean liver counts within the ALV to mean spleen counts (L/Smean).
Indeed, there is no functional volume (functional richness index) with 1 or 2 species.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com