Discovering robust biomarkers of psychiatric disorders from resting-state functional MRI via graph neural networks: A systematic review

Graph neural networks (GNN) have emerged as a popular tool for modeling functional magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant improvements in disorder classification performance via more sophisticated GNN designs and highlighted salient features that co...

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Bibliographic Details

Published in:	NeuroImage
Main Authors:	Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse
Format:	Article
Language:	English
Published:	Elsevier 2025-10-01
Subjects:	Biomarker discovery Feature attributions Graph neural networks Model explainability Psychiatric disorders Resting-state fMRI
Online Access:	http://www.sciencedirect.com/science/article/pii/S1053811925004252