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. 2017 Oct 6;140(12):3329–3345. doi: 10.1093/brain/awx254

Table 2.

Discriminant function analysis cross-validated classification accuracy by pathological diagnosis (per cent correctly classified) using components derived from specified analyses

Overall CBD PSP PiD TDP-A TDP-B TDP-C TDP-U aFTLD-U AD ALS
Clinical CATPCA, n = 109 28.4 0 22.2 25.0 0 51.9 25.0 0 37.5 46.7 25.0
Neuropsych testing PCA, n = 54 35.2 0 0 0 0 64.3 33.3 0 33.3 72.7 0
GM PCA, n = 82 48.8 0 28.6 60.0 16.7 70.0 83.3 12.5 75.0 66.7 25.0
WM PCA, n = 82 36.6 0 28.6 60.0 16.7 70.0 33.3 0 50.0 40.0 0
Clinical + GM + WM + Neuropsych PCA, n = 75a 57.3 16.7 40.0 50.0 20.0 77.8 66.7 50.0 75.0 66.7 50.0
A priori algorithm + discriminant function analysis, n = 83 60.2 16.7 66.7 85.7 40.0 78.9 66.7 50.0 25.0 66.7 0
A priori algorithm + discriminant function analysis + simulated amyloid/tau imaging, n = 89 70.8 25.0 42.9 85.7 57.1 94.4 87.5 50.0 50.0 100 0

AD = Alzheimer’s disease, aFTLD-U = atypical FTLD with ubiquitin positive inclusions, GM = grey matter, PiD = Pick’s disease, TDP-U = unclassifiable TDP-43, WM = white matter.

aMissing values imputed, stepwise component entry.