Author

Qingchuan Zhang

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Sep 2026

Mixture-of-Experts Electroencephalography-Functional Magnetic Resonance Imaging Fusion for Interpretable Computer-Assisted Brain Disorder Diagnosis.

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) provide complementary information about brain function, and have shown significant promise in detecting functional abnormalities in various brain disorders. However, the distinct signal characteristics and disparate representational spaces of...

Rui-Zhe Zhong, Hai-Sheng Li, Qing-Chuan Zhang · Journal of Visualized Experi... · 0 citations

Jul 2026

Multi-Scale Structural MRI Features Reveal Task-Based Functional Connectivity and Its Alterations in Psychiatric Disorders: A Collaborative Graph Attention Network Approach

The Collaborative Graph Attention Multi-Task Network (CoGA-MTN), a deep learning framework that integrates multi-scale structural features to jointly predict task-based functional connectivity (FC) and identify potential disease-related network alterations, is introduced.

Qingchuan Zhang, Zhen-Qiao Liu, Wen-Jie Dou et al. · Brain Topography · 0 citations

Open access Jul 2026

TF-JointMAE: a self-supervised multi-representation EEG learning framework for Alzheimer’s disease spectrum classification

A self-supervised masked autoencoder pre-training on multiple public EEG datasets demonstrates that TF-JointMAE effectively improves the robustness of EEG representations, providing potential auxiliary support for AD-spectrum classification and clinical decision-making.

Min Zuo, Hong Zhu, Zhen-Qiao Liu et al. · Cognitive Neurodynamics · 0 citations