“…Classification performance rates of the MCI‐model did not improve over those of the AD‐model or mild‐AD‐model. The incorporation of additional prior, biological knowledge (Rathore et al, ), or other information derived from imaging‐ and nonimaging biomarkers such as cerebrovascular status (De Bruijn et al, ), the load (De Bruijn et al, ; Dong et al, ; Fan et al, ), or location of white matter hyperintensities (McAleese et al, ), cerebral blood flow (Bron et al, ), resting‐state functional MRI (de Vos et al, ; Schouten et al, ), PET‐derived biomarkers (Dukart et al, ; Li et al, ), or additional cognitive assessment scores including measures of cognitive reserve (Allegri et al, ; Moradi et al, ; Vieira, Pinaya, & Mechelli, ; Wang et al, ) may further augment classification accuracy without increasing diagnostic complexity. While cognitive assessment scores would most likely provide a valuable contribution to the detection of MCI (Moradi et al, ; Wang et al, ), we did not consider these for this study.…”