Research Article
A Brain Network Constructed on an L1-Norm Regression Model Is More Sensitive in Detecting Small World Network Changes in Early AD
Table 4
values of statistical tests on the small-world parameters using L1-norm regularization.
| | L1 | HCs-MCI | HCs-AD |
| Density | Cp | Lp | Eloc | Eg | Cp | Lp | Eloc | Eg | 0.10 | 0.6404 | 0.6401 | 0.2053 | 0.6698 | 0.0094 | 0.0609 | 0.0087 | 0.0650 | 0.11 | 0.8735 | 0.6150 | 0.4472 | 0.6107 | 0.0571 | 0.0276 | 0.0464 | 0.0289 | 0.12 | 0.2529 | 0.8256 | 0.6400 | 0.8083 | 0.1530 | 0.0240 | 0.02705 | 0.0221 | 0.13 | 0.3362 | 0.7639 | 0.7519 | 0.7210 | 0.1158 | 0.0309 | 0.2327 | 0.0249 | 0.14 | 0.5208 | 0.6125 | 0.7867 | 0.5841 | 0.2948 | 0.0321 | 0.7430 | 0.0250 | 0.15 | 0.1987 | 0.5490 | 0.2687 | 0.5339 | 0.4026 | 0.0240 | 0.9364 | 0.0188 | 0.16 | 0.0615 | 0.5434 | 0.0315 | 0.5273 | 0.5959 | 0.0164 | 0.5482 | 0.0128 | 0.17 | 0.1097 | 0.3825 | 0.0414 | 0.3702 | 0.4658 | 0.0106 | 0.5719 | 0.0077 | 0.18 | 0.1713 | 0.3504 | 0.0392 | 0.3455 | 0.4488 | 0.0086 | 0.5532 | 0.0056 | 0.19 | 0.1935 | 0.3035 | 0.0329 | 0.3001 | 0.3856 | 0.0088 | 0.7197 | 0.0058 | 0.20 | 0.2930 | 0.3442 | 0.0780 | 0.3360 | 0.4392 | 0.0052 | 0.6151 | 0.0031 | 0.21 | 0.2393 | 0.3440 | 0.0634 | 0.3292 | 0.4695 | 0.0090 | 0.5605 | 0.0061 | 0.22 | 0.2863 | 0.3161 | 0.0749 | 0.3060 | 0.3866 | 0.0162 | 0.8317 | 0.0117 | 0.23 | 0.1949 | 0.3589 | 0.0224 | 0.3522 | 0.4969 | 0.0205 | 0.5873 | 0.0176 | 0.24 | 0.1506 | 0.3247 | 0.0116 | 0.3107 | 0.5647 | 0.0151 | 0.6287 | 0.0132 | 0.25 | 0.1500 | 0.2947 | 0.0203 | 0.2876 | 0.5015 | 0.0155 | 0.8236 | 0.0131 | 0.26 | 0.1252 | 0.3362 | 0.0079 | 0.3272 | 0.5859 | 0.0226 | 0.6054 | 0.0204 | 0.27 | 0.1268 | 0.3625 | 0.0055 | 0.3528 | 0.5271 | 0.0157 | 0.5921 | 0.0146 | 0.28 | 0.1231 | 0.5806 | 0.0073 | 0.5630 | 0.4757 | 0.0063 | 0.6751 | 0.0058 | 0.29 | 0.1084 | 0.4627 | 0.0083 | 0.4503 | 0.4424 | 0.0020 | 0.8784 | 0.0019 | 0.30 | 0.1204 | 0.4288 | 0.0073 | 0.4158 | 0.3962 | 0.0028 | 0.9967 | 0.0026 | 0.31 | 0.1390 | 0.5207 | 0.0168 | 0.5065 | 0.4080 | 0.0045 | 0.8910 | 0.0043 | 0.32 | 0.1529 | 0.4481 | 0.0241 | 0.4324 | 0.4109 | 0.0050 | 0.8349 | 0.0048 | 0.33 | 0.1489 | 0.4787 | 0.0297 | 0.4626 | 0.4345 | 0.0072 | 0.8090 | 0.0070 | 0.34 | 0.1563 | 0.5108 | 0.0366 | 0.5022 | 0.4657 | 0.0067 | 0.8855 | 0.0065 | 0.35 | 0.1744 | 0.6842 | 0.0422 | 0.6702 | 0.4738 | 0.0038 | 0.9402 | 0.0037 | 0.36 | 0.1311 | 0.6812 | 0.0357 | 0.6682 | 0.5861 | 0.0042 | 0.9568 | 0.0041 | 0.37 | 0.1139 | 0.9121 | 0.0365 | 0.9262 | 0.5866 | 0.0017 | 0.9777 | 0.0017 | 0.38 | 0.1082 | 0.9140 | 0.0371 | 0.9014 | 0.6304 | 0.0018 | 0.9563 | 0.0017 | 0.39 | 0.1125 | 0.1125 | 0.9457 | 0.0470 | 0.6672 | 0.0024 | 0.9689 | 0.0024 | 0.40 | 0.9689 | 0.9824 | 0.0502 | 0.9936 | 0.7539 | 0.0041 | 0.9337 | 0.0041 | 0.41 | 0.0883 | 0.8723 | 0.0513 | 0.8820 | 0.7815 | 0.0096 | 0.9568 | 0.0096 | 0.42 | 0.0963 | 0.7882 | 0.0510 | 0.7959 | 0.8187 | 0.0253 | 0.9438 | 0.0253 | 0.43 | 0.0869 | 0.2272 | 0.0435 | 0.2263 | 0.8455 | 0.0293 | 0.9137 | 0.0293 | 0.44 | 0.0900 | 0.2301 | 0.0533 | 0.2293 | 0.8602 | 0.0400 | 0.9498 | 0.0400 | 0.45 | 0.0550 | 0.3039 | 0.0282 | 0.3031 | 0.9713 | 0.0641 | 0.7727 | 0.0641 | 0.46 | 0.0496 | 0.7239 | 0.0267 | 0.7225 | 0.9647 | 0.1426 | 0.7920 | 0.1426 | 0.47 | 0.0419 | 0.8847 | 0.0256 | 0.8838 | 0.9285 | 0.2016 | 0.7830 | 0.2016 | 0.48 | 0.0428 | 0.5887 | 0.0291 | 0.5882 | 0.9356 | 0.1712 | 0.8272 | 0.1712 | 0.49 | 0.0397 | 0.6768 | 0.0297 | 0.6765 | 0.8201 | 0.1953 | 0.7302 | 0.1953 | 0.50 | 0.0403 | 0.6358 | 0.0346 | 0.6355 | 0.7253 | 0.2424 | 0.6726 | 0.2424 |
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