MD-DGNN: A Metadata-Driven Dual Graph Neural Network based on Brain Functional Connectivity for ASD Classification.
Li; Zhang; Leng; Zhang · 2026 · IEEE journal of biomedical and health informatics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that requires early and efficient diagnosis. Functional magnetic resonance imaging (fMRI), with high temporal and spatial resolution, is a powerful tool for…
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Metadata source: PubMed · DOI 10.1109/jbhi.2026.3702096