Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity

Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is increasingly used for the diagnosis of brain disorders. However, state-of-the-art studies used to build the FCN using a single brain parcellation atlas at a certain spatial scale, which largely neglected...

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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 35; číslo 11; s. 15182 - 15194
Hlavní autori:	Liu, Mianxin, Zhang, Han, Shi, Feng, Shen, Dinggang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.11.2024
Predmet:	Aged Alzheimer Disease - diagnosis Alzheimer Disease - diagnostic imaging Atlases as Topic Brain - diagnostic imaging Brain Diseases - diagnostic imaging Brain disorder brain multiscale hierarchy Deep Learning Feature extraction Female functional connectivity network (FCN) Functional magnetic resonance imaging graph convolutional neural network Head Humans Image Processing, Computer-Assisted - methods Imaging Learning systems Magnetic heads Magnetic Resonance Imaging - methods Male Neural Networks, Computer Neuroimaging Neuroimaging - methods
ISSN:	2162-237X, 2162-2388, 2162-2388
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