Purpose: Parkinson’s disease (PD) is a neurodegenerative disease characterized by progressive loss of dopaminergic neurons in the brain. To achieve better explorations of dopamine changes both centrally and peripherally, we employed uEXPLORER dynamic [11C]CFT PET/CT imaging combined with voxel-wise kinetic modeling. Methods: Eleven participants (five patients, PD and six healthy volunteers, HC) underwent 75-min dynamic scans were enrolled. Volumes of interest for four nigrostriatal nuclei (caudate, putamen, pallidum and substantial nigra) and three digestive organs (pancreas, stomach and duodenum) were delineated. Total-body parametric images of relative transporter rate constant (R1) and distribution volume ratio (DVR) using the simplified reference tissue model (SRTM2) were quantitatively generated by a linear regression with spatial-constraint algorithm. Standardized uptake value ratio (SUVR) at early and late phase were calculated as the semi-quantitative substitutes. Results: Significant differences between the two groups were identified in DVR and SUVRLP of putamen (P < 0.05) and SUVREP of stomach (P < 0.01). For HC group, negative correlations of R1 were achieved between stomach and both putamen and substantial nigra (all P < 0.05); positive correlations of DVR were identified between pancreas and all four brain nuclei (all P < 0.05). Yet in PD group, correlations of R1 or DVR between the targeted digestive and brain areas were considerably diminished. Similar trends in correlations were also found in SUVR analysis. Conclusions: We introduced a pioneering approach using dynamic total-body [11C]CFT PET/CT imaging to investigate distinctive patterns of potential “brain-GI” interplays, which may provide new insights towards the understanding of PD.