ADHD-200

The ADHD-200 dataset is a neuroimaging benchmark that contains functional MRI data used to evaluate the identification of Attention Deficit Hyperactivity Disorder (ADHD) through brain connectivity analysis.

Papers using ADHD-200 (3)

HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification2023A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders2025D-GATNet: Interpretable Temporal Graph Attention Learning for ADHD Identification Using Dynamic Functional Connectivity2026