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 3

values of statistical tests on the small-world parameters using the Pearson correlation.

Pearson
HCs-MCIHCs-AD

DensityCpLpElocEgCpLpElocEg
0.100.12680.91870.11550.95250.00030.23920.00370.2360
0.110.30870.96840.25610.83270.00150.00150.00150.1167
0.120.26590.96900.21930.83130.00560.11490.04470.1338
0.130.45450.74720.40510.64610.00530.15260.03090.1665
0.140.52020.79360.45540.72490.01420.13860.06790.1429
0.150.58590.96210.34930.85370.02940.16360.08110.1651
0.160.47220.95180.16440.98340.02740.13160.04530.1332
0.170.52620.86940.23570.93600.02430.10510.05540.1043
0.180.57610.93500.29650.99770.02270.11230.03790.1089
0.190.69390.98290.47840.97800.04050.07550.05290.0751
0.200.53940.95600.25430.94570.06020.06920.08090.0702
0.210.49870.96680.20590.97060.06210.06060.06130.0610
0.220.63090.95750.31230.09480.05140.04600.05400.0453
0.230.83530.94460.46970.95710.05300.05090.07790.0517
0.240.96060.96960.71090.93540.05810.04190.10520.0421
0.250.80440.94030.41140.92640.05130.04310.05970.0428
0.260.98470.81360.71720.80840.07570.04920.07880.0489
0.270.84340.84570.93010.83830.09860.04750.11620.0469
0.280.81730.75180.89960.74470.12580.04570.19490.0449
0.290.74880.79700.75850.79040.11130.05470.17810.0536
0.300.74820.86930.85520.86330.11580.05860.16670.0564
0.310.77210.94820.82420.96170.08400.04520.09610.0443
0.320.83270.98760.94350.99670.07090.03760.06140.0367
0.330.84010.94030.93040.92540.08350.02910.10040.0282
0.340.79370.95220.92740.96560.08120.02890.07630.0282
0.350.78320.84180.86050.85180.07880.03880.10170.0382
0.360.80130.93210.88000.94390.06920.03210.08950.0315
0.370.80550.84330.79440.85460.06320.02880.09270.0282
0.380.73310.76470.72070.77510.05770.03440.07490.0337
0.390.73620.72840.69660.73590.06350.06880.09190.0678
0.400.75690.61680.74070.62290.07050.06520.07620.0644
0.410.76400.61470.73130.61980.06680.09860.07620.0979
0.420.75560.58890.69800.59300.06580.11950.07840.1189
0.430.74050.60040.67960.60440.06920.16130.079800.1608
0.440.72790.47100.67950.47310.06230.20470.06780.2043
0.450.75560.45330.72020.45490.04950.17660.05170.1763
0.460.79770.46040.77250.46200.04610.13500.04260.1348
0.470.80880.95590.78940.95620.04380.15730.04020.1571
0.480.82370.67410.80260.67430.04220.28810.04340.2880
0.490.83590.93030.79230.93070.04110.23090.04170.2309
0.500.81420.87110.82030.87130.04420.23900.04340.2390