Systematic review of 65 GNN studies on resting-state fMRI finds high classification performance but low reproducibility of disorder-specific biomarkers across papers, with few transdiagnostic signals.
, year 2018
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Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review
Systematic review of 65 GNN studies on resting-state fMRI finds high classification performance but low reproducibility of disorder-specific biomarkers across papers, with few transdiagnostic signals.