Multimodal Autism Spectrum Disorder Diagnosis Method Based on DeepGCN

Multimodal data play an important role in the diagnosis of brain diseases. This study constructs a whole-brain functional connectivity network based on functional MRI data, uses non-imaging data with demographic information to complement the classification task for diagnosing subjects, and proposes...

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Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering 2023, Vol.31, p.3664-3674
Hauptverfasser:	Wang, Mingzhi, Guo, Jifeng, Wang, Yongjie, Yu, Ming, Guo, Jingtan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Autism autism spectrum disorders Biological neural networks Brain brain networks Classification Convolutional neural networks Deep learning Diagnosis Explosions Feature extraction Functional magnetic resonance imaging graph convolutional neural network Graph neural networks Graph theory Machine learning Measurement Medical diagnosis Medical imaging multimodal Neural networks Neuroimaging Symmetric matrices
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