We then developed a novel feature selection and construction method based on partial least squares regression (PLSr) to generate an interpretable and interoperable disease-specific biomarker (i.e. grey matter atrophy due to AD) that predicts memory deficits as measured by ADNI-Mem, discriminates sMCI vs. pMCI individuals and relates to individual tau burden, as measured by flortaucipir PET in an independent sample. Here, MAPT is linked to Alzheimer disease.