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. Author manuscript; available in PMC: 2011 Aug 1.
Published in final edited form as: Neurobiol Aging. 2010 Jun 11;31(8):1429–1442. doi: 10.1016/j.neurobiolaging.2010.04.022

Table 2.

Rank order list with relative SVM weights for MRI, ApoE, Age, Sex and BMI in AD and MCI classification. Hippocampal volumes were the most influential feature for differentiating AD from controls, closely followed by ApoE genotype, which outperformed all the other MRI-derived markers. For classifying subjects as either MCI or controls, the exact same features were useful, in the same order of priority. This is somewhat in line with expectation, as hippocampal volume is so widely used and is perhaps the most well-validated MRI measure in AD studies. This rank order refers to a situation in which all measures are used jointly for classification. Also, the gray highlighted measures are the ones that, when used jointly, gave the best classification accuracy in our independent test datasets (see Figure 1 for ROC curves)

Biomarker
Rank AD vs. control
(weight / wi2)
MCI vs. control
(weight / wi2)
1 MRI Hipa
0.1664
MRI Hip
0.1045
2 ApoE
0.1063
ApoE
0.0938
3 Age
0.0369
Age
0.0188
4 MRI Ventb
0.0349
MRI Vent
0.0103
5 MRI Tempc
0.0210
MRI Temp
0.0045
6 BMI
0.0147
BMI
0.0019
7 Sex
0.0013
Sex
0.0009
a

Hippocampal volume summary

b

Ventricular volume summary

c

Temporal lobe summary from tensor-based morphometry (TBM)

Groups of biomarkers yielding the highest leave-one-out accuracy are highlighted.