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

Yi Hao Chan, Deepank Girish, Sukrit Gupta, Jing Xia, Chockalingam Kasi, Yinan He, Conghao Wang, Jagath C. Rajapakse

Abstract: Highlights•A wide range of predictors and attributors have been used in existing fMRI studies.•Robustness of salient features highlighted by attributors remains underexplored.•We propose a taxonomy to classify state-of-the-art GNNs customised to fMRI datasets.•We propose a framework to evaluate potential biomarkers derived via machine learning.•Some key features at the level of regions of interest were consistent across studies.

External IDs:dblp:journals/neuroimage/ChanGGXKHWR25