Clustering of Brain Function Network Based on Attribute and Structural Information and Its Application in Brain Diseases

• Published in: Frontiers in neuroinformatics Vol. 13; p. 79
• Main Authors: Cui, Xiaohong, Xiao, Jihai, Guo, Hao, Wang, Bin, Li, Dandan, Niu, Yan, Xiang, Jie, Chen, Junjie
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 07.02.2020; Frontiers Media S.A
• Subjects: Alzheimer's disease; Bipolar disorder; Brain diseases; Brain mapping; Brain research; Clustering; Datasets; Functional magnetic resonance imaging; graph mining; Labeling; Medical imaging; Mental disorders; Methods; Neurodegenerative diseases; Neuroimaging; Neuroscience; Researchers; Schizophrenia; similarity; spectral clustering; Studies; sub-network kernels; Time series; graph mining; Alzheimer's disease; similarity; spectral clustering; sub-network kernels

At present, the diagnosis of brain disease is mainly based on the self-reported symptoms and clinical signs of the patient, which can easily lead to psychiatrists' bias. The purpose of this study is to develop a brain network clustering model to accurately identify brain diseases based on resti...