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REST-meta-MDD

Benchmarks

Task NameDataset NameSOTA ResultTrend
Brain network diagnosisREST-meta-MDD site S1
Accuracy63.5
52
Brain network classificationREST-meta-MDD
Accuracy70.13
38
MDD DiagnosisREST-meta-MDD site 20 (test)
Accuracy69.25
30
MDD ClassificationREST-meta-MDD (10-fold Cross-val)
Accuracy83.44
17
Major Depressive Disorder vs. Normal Control ClassificationREST-meta-MDD AAL Atlas
Accuracy70.43
14
MDD DiagnosisREST-meta-MDD (Site S25)
Accuracy64.5
14
Psychiatric Diagnosis ClassificationREST-meta-MDD leave-one-site-out cross-validation rs-fMRI (test)
Classification Accuracy (S1)68.1
13
Brain network diagnosisREST-meta-MDD site S14
Accuracy69.1
12
Brain network diagnosisREST-meta-MDD site S12
Accuracy60.8
12
Brain network diagnosisREST-meta-MDD site S9
Accuracy67.4
12
MDD ClassificationREST-meta-MDD (test)
Accuracy66.87
10
Time-series generationREST-meta-MDD (test)
Context-FID0.105
7
MDD DiagnosisREST-meta-MDD Harvard-Oxford atlas parcellation
Accuracy68.85
5
MDD DiagnosisREST-meta-MDD (Site S8)
Accuracy70.55
2
MDD DiagnosisREST-meta-MDD (Site S21)
Accuracy57.9
2
MDD DiagnosisREST-meta-MDD Automated Anatomical Labeling parcellation
Accuracy68.53
2
Showing 16 of 16 rows