In this study, an ANN classifier focusing on the putamen region of DAT-SPECT images outperformed the classical biomarkers to differentiate PD from parkinsonism caused by other disorders, with an accuracy of 86% (sensitivity of 81.8% and sensitivity of 88.6%). This evidence concerns the gene SLC6A3 and Parkinsonism.