Discovering robust biomarkers of neurological disorders from functional MRI using graph neural networks: A Review

YH Chan, D Girish, S Gupta, J Xia, C Kasi, Y He… - arXiv preprint arXiv …, 2024 - arxiv.org
Graph neural networks (GNN) have emerged as a popular tool for modelling functional
magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant …

ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI

Y Fang, J Zhang, L Wang, Q Wang, M Liu - arXiv preprint arXiv …, 2024 - arxiv.org
Functional magnetic resonance imaging (fMRI) has been increasingly employed to
investigate functional brain activity. Many fMRI-related software/toolboxes have been …

Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification

Y Ma, C Zhang, X Wang, Q Wang, L Cao… - arXiv preprint arXiv …, 2024 - arxiv.org
Major depressive disorder (MDD) is a common mental disorder that typically affects a
person's mood, cognition, behavior, and physical health. Resting-state functional magnetic …