Research Paper#Neuroimaging, Machine Learning, Graph Neural Networks🔬 ResearchAnalyzed: Jan 3, 2026 06:23
Spectral GNN for fMRI Cognitive Task Classification
Published:Dec 31, 2025 14:54
•1 min read
•ArXiv
Analysis
This paper introduces a novel Spectral Graph Neural Network (SpectralBrainGNN) for classifying cognitive tasks using fMRI data. The approach leverages graph neural networks to model brain connectivity, capturing complex topological dependencies. The high classification accuracy (96.25%) on the HCPTask dataset and the public availability of the implementation are significant contributions, promoting reproducibility and further research in neuroimaging and machine learning.
Key Takeaways
Reference
“Achieved a classification accuracy of 96.25% on the HCPTask dataset.”