notesum.ai
Published at November 13A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis
cs.CV
cs.AI
Released Date: November 13, 2024
Authors: Feiyu Yin, Yu Lei, Siyuan Dai, Wenwen Zeng, Guoqing Wu, Liang Zhan, Jinhua Yu

| Ref | Year | Modality | Subject | Method | Task | ACC(%) | SEN(%) | SPE(%) | AUC |
| [30] | 2021 | fMRI | 191MCI, 179NC | MMTGCN | NC vs. MCI | 86.0 | 86.9 | 85.1 | 0.903 |
| [31] | 2022 | fMRI | 68MCI, 69NC | BFN | NC vs. MCI | 90.5 | 91.2 | 89.9 | 0.952 |
| [32] | 2022 | fMRI | 72EMCI, 53LMCI, 64NC | dEC+cwGAT | NC vs. EMCI | 90.9 | 90.4 | 91.4 | 0.967 |
| EMCI vs. LMCI | 89.8 | 87.6 | 91.4 | 0.940 | |||||
| [33] | 2024 | fMRI | 168EMCI, 120LMCI, 154NC | MGCA-RAFFNet | NC vs. EMCI | 92.2 | 92.2 | 92.3 | 0.930 |
| EMCI vs. LMCI | 91.3 | 91.7 | 90.8 | 0.920 | |||||
| [34] | 2020 | fMRI+DTI | 36MCI, 37NC | Adaptive dFC | NC vs. MCI | 87.7 | 88.9 | 86.5 | 0.889 |
| [35] | 2024 | fMRI+DTI | 151MCI, 142NC | Cross-GNN | NC vs. MCI | 82.6 | 84.6 | 82.2 | / |
| [36] | 2021 | fMRI+DTI | 44EMCI, 38LMCI, 44NC | SAC-GCN | NC vs. EMCI | 85.2 | 90.9 | 79.5 | 0.898 |
| NC vs. LMCI | 89.0 | 89.5 | 88.6 | 0.928 | |||||
| EMCI vs. LMCI | 86.6 | 92.1 | 81.8 | 0.943 | |||||
| [9] | 2023 | fMRI+DTI | 86EMCI, 166LMCI, 163NC | MMP-GCN | NC vs. EMCI | 91.2 | 82.6 | 95.7 | / |
| NC vs. LMCI | 94.2 | 92.8 | 95.7 | / | |||||
| EMCI vs. LMCI | 92.4 | 93.7 | 89.5 | / | |||||
| Ours | 2024 | fMRI+DTI | 100MCI, 48EMCI, 21LMCI, 240NC | Brain-HAN | NC vs. MCI | 93.3 | 93.5 | 93.3 | 0.961 |
| NC vs. EMCI | 92.7 | 90.6 | 96.9 | 0.927 | |||||
| NC vs. LMCI | 94.4 | 92.1 | 97.0 | 0.972 | |||||
| EMCI vs. LMCI | 92.4 | 85.7 | 96.0 | 0.952 |