BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI

doi:10.1109/TCDS.2022.3204782

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI
	Fan, Chen-Chen 3,4; Yang, Hongjun 4; Peng, Liang 4; Zhou, Xiao-Hu 4; Ni, Zhen-Liang 3,4; Zhou, Yan-Jie 3,4; Chen, Sheng 3,4; Hou, Zeng-Guang 1,2,4
刊名	IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
	2023-09-01
卷号	15 期号:3 页码:1161-1169
关键词	Alzheimer's disease (AD) cognitive assessment convolutional neural networks (CNNs) graph neural networks structural magnetic resonance imaging (sMRI)
ISSN号	2379-8920
DOI	10.1109/TCDS.2022.3204782
通讯作者	Hou, Zeng-Guang(zengguang.hou@ia.ac.cn)
英文摘要	Alzheimer's disease (AD) is an irreversible neurodegenerative disease, the most common form of dementia, affecting millions worldwide. Neuroimaging-based early AD diagnosis has become an effective approach, especially by using structural magnetic resonance imaging (sMRI). The convolutional neural network (CNN)-based method is challenging to learn dependencies between spatially distant positions in the various brain regions due to its local convolution operation. In contrast, the graph convolutional network (GCN)-based work can connect the brain regions to capture global information but is not sensitive to the local information in a single brain region. Unlike a separate CNN or GCN-based method, we proposed a brain-inspired global-local information fusion network (BGL-Net) to diagnose AD. It essentially inherits the advantages of both CNN and GCN. The experiments on three public data sets demonstrate the effectiveness and robustness of our BGL-Net. Our method achieved the best performance on three popular public data sets compared with the existing CNN and GCN-based methods. In addition, our visualization results of the learned brain connection on AD and normal people agree with many current AD clinical research.
资助项目	National Key Research and Development Program of China[2018YFC2001700] ; National Natural Science Foundation of China[61720106012] ; National Natural Science Foundation of China[U1913601] ; National Natural Science Foundation of China[62073319] ; National Natural Science Foundation of China[62003343] ; National Natural Science Foundation of China[62222316] ; Beijing Natural Science Foundation[L172050] ; Beijing SciTech Program[Z211100007921021] ; ANSO Collaborative Research Project[ANSO-CR-PP-2020-03] ; Youth Innovation Promotion Association of CAS[2020140] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32040000]
WOS关键词	DIAGNOSIS
WOS研究方向	Computer Science ; Robotics ; Neurosciences & Neurology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001089186500015
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Beijing SciTech Program ; ANSO Collaborative Research Project ; Youth Innovation Promotion Association of CAS ; Strategic Priority Research Program of Chinese Academy of Science
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54277]
专题	多模态人工智能系统全国重点实验室
通讯作者	Hou, Zeng-Guang
作者单位	1.Macau Univ Sci & Technol, Inst Syst Engn, CASIA MUST Joint Lab Intelligence Sci & Technol, Macau, Peoples R China 2.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Fan, Chen-Chen,Yang, Hongjun,Peng, Liang,et al. BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI[J]. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS,2023,15(3):1161-1169.
APA	Fan, Chen-Chen.,Yang, Hongjun.,Peng, Liang.,Zhou, Xiao-Hu.,Ni, Zhen-Liang.,...&Hou, Zeng-Guang.(2023).BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI.IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS,15(3),1161-1169.
MLA	Fan, Chen-Chen,et al."BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI".IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS 15.3(2023):1161-1169.