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Author

Ting Mei

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2 papers indexed here

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Sep 2026

DPGR-Net: A disentangled population-guided graph neural network for major depressive disorder identification.

Major depressive disorder (MDD) is a brain disorder characterized by substantial individual heterogeneity, and its accurate diagnosis remains challenging in clinical practice. Graph neural networks applied to functional brain networks (FBNs) constructed from resting-state functional magnetic resonance imaging (rs-fMRI)...

Xuan He, Ting Mei, Huan-Huan Du et al. · 0 citations
Sep 2026

Modeling inter-subject heterogeneity improves multisite rs-fMRI identification of major depressive disorder: An interpretable graph neural network approach.

BACKGROUND Major depressive disorder (MDD) is a highly heterogeneous affective disorder, and the identification of reliable neuroimaging markers remains challenging. Resting-state functional magnetic resonance imaging offers a promising approach for characterizing altered brain functional organization in MDD. However,...

Ting Mei, Man-Yun Zhu, Hongbo Zhu et al. · 0 citations

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