Table 3

Performance comparison of different network construction methods based on different modal data

DataMethodNC versus ADEMCI versus LMCILMCI versus AD
ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)
fMRISCC78.7276.0981.2578.6775.0072.9278.1375.5277.0873.4780.8577.16
KCC79.7977.7881.6379.7176.2575.0078.1276.5678.1374.4781.6378.05
PCC87.2377.2790.2883.3885.0085.7184.2184.9684.3885.3783.6484.50
SNPSCC75.5376.674.4775.5372.5071.1575.0073.0873.9670.0078.2674.13
KCC77.6674.4780.8577.6673.7571.4277.4274.4276.0473.4778.7276.10
PCC84.4887.5081.4884.4983.7588.3778.3883.3883.3381.4084.9183.15
DualSCC82.9883.3382.6983.0178.7576.0982.3579.2279.1778.2680.0079.13
KCC84.0485.3783.0284.1980.0078.2682.3580.2180.2179.5580.7780.16
PCC93.6295.3592.1693.7591.2591.6790.6391.1591.9592.1191.8491.97
DataMethodNC versus ADEMCI versus LMCILMCI versus AD
ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)
fMRISCC78.7276.0981.2578.6775.0072.9278.1375.5277.0873.4780.8577.16
KCC79.7977.7881.6379.7176.2575.0078.1276.5678.1374.4781.6378.05
PCC87.2377.2790.2883.3885.0085.7184.2184.9684.3885.3783.6484.50
SNPSCC75.5376.674.4775.5372.5071.1575.0073.0873.9670.0078.2674.13
KCC77.6674.4780.8577.6673.7571.4277.4274.4276.0473.4778.7276.10
PCC84.4887.5081.4884.4983.7588.3778.3883.3883.3381.4084.9183.15
DualSCC82.9883.3382.6983.0178.7576.0982.3579.2279.1778.2680.0079.13
KCC84.0485.3783.0284.1980.0078.2682.3580.2180.2179.5580.7780.16
PCC93.6295.3592.1693.7591.2591.6790.6391.1591.9592.1191.8491.97

The bold values indicate the highest results of each indicator under each classification task and each data modality, and the proposed approach always performs the best.

Table 3

Performance comparison of different network construction methods based on different modal data

DataMethodNC versus ADEMCI versus LMCILMCI versus AD
ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)
fMRISCC78.7276.0981.2578.6775.0072.9278.1375.5277.0873.4780.8577.16
KCC79.7977.7881.6379.7176.2575.0078.1276.5678.1374.4781.6378.05
PCC87.2377.2790.2883.3885.0085.7184.2184.9684.3885.3783.6484.50
SNPSCC75.5376.674.4775.5372.5071.1575.0073.0873.9670.0078.2674.13
KCC77.6674.4780.8577.6673.7571.4277.4274.4276.0473.4778.7276.10
PCC84.4887.5081.4884.4983.7588.3778.3883.3883.3381.4084.9183.15
DualSCC82.9883.3382.6983.0178.7576.0982.3579.2279.1778.2680.0079.13
KCC84.0485.3783.0284.1980.0078.2682.3580.2180.2179.5580.7780.16
PCC93.6295.3592.1693.7591.2591.6790.6391.1591.9592.1191.8491.97
DataMethodNC versus ADEMCI versus LMCILMCI versus AD
ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)ACC (%)SEN (%)SPE (%)BAC (%)
fMRISCC78.7276.0981.2578.6775.0072.9278.1375.5277.0873.4780.8577.16
KCC79.7977.7881.6379.7176.2575.0078.1276.5678.1374.4781.6378.05
PCC87.2377.2790.2883.3885.0085.7184.2184.9684.3885.3783.6484.50
SNPSCC75.5376.674.4775.5372.5071.1575.0073.0873.9670.0078.2674.13
KCC77.6674.4780.8577.6673.7571.4277.4274.4276.0473.4778.7276.10
PCC84.4887.5081.4884.4983.7588.3778.3883.3883.3381.4084.9183.15
DualSCC82.9883.3382.6983.0178.7576.0982.3579.2279.1778.2680.0079.13
KCC84.0485.3783.0284.1980.0078.2682.3580.2180.2179.5580.7780.16
PCC93.6295.3592.1693.7591.2591.6790.6391.1591.9592.1191.8491.97

The bold values indicate the highest results of each indicator under each classification task and each data modality, and the proposed approach always performs the best.

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