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. 2022 Aug 25;13:1005650. doi: 10.3389/fneur.2022.1005650

Table 2.

The selected DC features set for discriminating the MCI from nMCI group.

ID Feature Brain Network MCI nMCI Weight
Mean SD Mean SD SVM LR RF
1 Olfactory R DMN −0.095 0.292 −0.187 0.245 0.45695206 0.61365026 0.07962183
2 Cingulum Ant L DMN 0.174 0.336 0.293 0.385 −0.45212804 −0.41221711 0.08364737
3 Pallidum L Basal node network −0.11 0.383 0.088 0.477 0.03777478 −0.02233599 0.07402411
4 Transverse temporal L DMN 0.26 0.412 0.489 0.351 −0.28568111 −0.3511914 0.10909707
5 Cerebelum Crus1 R Cerebellum network 0.059 0.280 −0.088 0.289 0.57115715 0.49502768 0.10136584
6 Cerebelum 4 5 L Cerebellum network −0.027 0.221 0.151 0.239 −0.3993657 −0.3675441 0.17269695
7 Vemis 1 Cerebellum network −0.386 0.348 −0.258 0.272 −0.14545911 −0.44863276 0.09362268
8 Vemis 6 Cerebellum network −0.123 0.280 0.001 0.335 −0.47500579 −0.24829838 0.07821442
9 Vemis 8 Cerebellum network −0.419 0.310 −0.286 0.295 −0.37868619 −0.58716901 0.11912403
10 Vemis 10 Cerebellum network −0.399 0.304 −0.503 0.284 0.56859686 0.84123316 0.08858571

DMN, default mode network; MCI, mild cognitive impairment; nMCI, no mild cognitive impairment; SVM, support vector machine; LR, logistic regression; RF, random forest.