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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Pattern Recognit. 2018 Dec 7;88:421–430. doi: 10.1016/j.patcog.2018.12.001

Table 1:

Comparison with other existing studies using rs-fMRI data for MCI vs. NC classification.

Method Subjects ACC (%) AUC SEN (%) SPE (%)
Wee et al. [36] 25 MCI+25 NC 84.0 0.870 84.0 84.0
Wang et al. [29] 37 MCI+47 NC 85.7 0.904 86.5 85.1
Challis et al. [52] 39 MCI+50 NC 81.0 – 79.0 83.0
Zhang et al. [53] 22 MCI+18 NC 87.5 0.929 90.9 83.3
Proposed 52 MCI+52 NC 88.5 0.965 86.2 90.4