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. Author manuscript; available in PMC: 2013 Jan 16.
Published in final edited form as: Neuroimage. 2011 Oct 4;59(2):895–907. doi: 10.1016/j.neuroimage.2011.09.069

Table 2.

Comparison of performances of five different methods on Experiment 1. The reported values are the correlation coefficient (for MMSE and ADAS-Cog regression) and accuracy (for AD vs. HC and MCI vs. HC classification), averaged on 10-fold tests (with standard deviation also reported).

Methods Correlation coefficient Classification accuracy


MMSE ADAS-Cog AD vs. HC MCI vs. HC
MRI-based 0.504 ± 0.038 0.609 ± 0.014 0.848 ± 0.026 0.739 ± 0.028
PET-based 0.658 ± 0.027 0.670 ± 0.018 0.845 ± 0.035 0.797 ± 0.023
CSF-based 0.465 ± 0.019 0.474 ± 0.013 0.805 ± 0.022 0.536 ± 0.044

CONCAT 0.658 ± 0.023 0.695 ± 0.011 0.920 ± 0.033 0.800 ± 0.024
Proposed M3T 0.697 ± 0.022 0.739 ± 0.012 0.933 ± 0.022 0.832 ± 0.015

AD = Alzheimer’s Disease, HC = Healthy Control, MCI = Mild Cognitive Impairment, MMSE = Mini-Mental State Examination, ADAS-Cog = Alzheimer’s Disease Assessment Scale - Cognitive Subscale