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September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

MLC-GCN: Multi-Level Connectomes Based GCN for AD Detection

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Authors

YFYinghua FuXZXinglin ZengJZJiarui Zhang

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Overview

Graph convolutional network improves detection of Alzheimer's disease by leveraging functional connectivity, suggesting enhanced clinical diagnostics.

Key Points

  • The MLC-GCN classifier significantly enhances detection of Alzheimer's disease through improved functional connectivity analysis.
  • This method outperformed existing classifiers on ADNI and OASIS-3 datasets, showcasing its effectiveness.
  • Using a multi-graph generation block, this approach allows for differentiation between Alzheimer's and cognitive normal controls.
  • Results indicate that multi-level connectomes can assist in locating disease-related brain areas, which is crucial for clinical diagnosis.

Cite This Study

Fu et al. (2025) studied this question.

synapsesocial.com/papers/68d4597b31b076d99fa5cd90https://doi.org/10.58530/2025/0223
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Detection2026
  2. 2Multiomics-based graph convolutional neural network for Alzheimer’s disease diagnosis and MCI progression prediction2025
  3. 3Neuroconnectomics fusion: advancing Alzheimer's disease classification through the integration of GCN-MLP and multifeatured fMRI analysis2024
  4. 4A novel spatiotemporal graph convolutional network framework for functional connectivity biomarkers identification of Alzheimer’s disease2024 · 8 citations
  5. 5Advancing Alzheimer's Disease Detection Harnessing Graph Convolutional Networks For Enhanced Early Identification2024 · 2 citations