Fig. 5: Visualization of the top 20 salient ROIs identified by two pathways in the ABCD dataset.
From: Rethinking functional brain connectome analysis: do graph deep learning models Help
Color intensity represents the importance of each ROI, with darker shades indicating lower importance and brighter shades indicating higher importance. a For the GAT pathway, node importance is calculated by summing the attention scores across all its connections, corresponding to each row in the attention heatmap. The identified salient ROIs are primarily concentrated in the Central Executive Network (CE) and Default Mode Network (DMN), with key regions located in the frontal and temporal lobe. b, c For the LM pathway, node importance is calculated separately for positive and negative weights. Salient ROIs identified from the LM pathway’s positive weights are concentrated in the Ventral Salience Network (VS) and Somatomotor Network (SM), predominantly in the temporal lobe, while negative weights highlight regions within the DMN, particularly in the frontal and parietal lobes.
