BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Understanding which brain regions are related to a specific neurological disorder or cognitive stimuli has been an important area of neuroimaging research. We propose BrainGNN, a graph neural network (GNN) framework to analyze functional magnetic resonance images (fMRI) and discover neurological bio...

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Veröffentlicht in:	Medical image analysis 2021-12, Vol.74, p.102233-102233, Article 102233
Hauptverfasser:	Li, Xiaoxiao, Zhou, Yuan, Dvornek, Nicha, Zhang, Muhan, Gao, Siyuan, Zhuang, Juntang, Scheinost, Dustin, Staib, Lawrence H., Ventola, Pamela, Duncan, James S.
Format:	Artikel
Sprache:	eng
Schlagworte:	ASD Autism Autism Spectrum Disorder - diagnostic imaging Biomarker Biomarkers Brain Brain - diagnostic imaging Brain mapping Clustering Cognitive ability Connectome Datasets fMRI Functional magnetic resonance imaging GNN Graph neural networks Humans Image analysis Image processing Magnetic Resonance Imaging Medical imaging Neural networks Neural Networks, Computer Neuroimaging Neurological diseases Regularization
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