[Problem] The present invention provides a tendency discrimination device for objectively determining, based on brain information obtained by MRI, the tendency of an object that is to be determined. [Solution] When creating a discriminator in a tendency discrimination device, the grey matter volume and the degree of diffusion anisotropy of a frontal pole as a region of interest are computed for each of a plurality of test subjects (S104) on the basis of an anatomical image and a diffusion weighted image obtained through MRI (S102). The discriminator is created by machine learning of information and the relationship between the grey matter volume and the fractional anisotropy (S108), the information being obtained by classifying the results of tests carried out to determine the tendencies of the plurality of the test subjects.
TENDENCY DISCRIMINATION DEVICE, TASK EXECUTION ASSISTING DEVICE, TENDENCY DISCRIMINATION COMPUTER PROGRAM AND TASK EXECUTION ASSISTING COMPUTER PROGRAM