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

doi:10.1109/TCDS.2022.3204782

	BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI
	Fan, Chen-Chen1,2 ; Yang, Hongjun1 ; Peng, Liang1 ; Zhou, Xiao-Hu1 ; Ni, Zhen-Liang1,2 ; Zhou, Yan-Jie1,2 ; Chen, Sheng1,2 ; Hou, Zeng-Guang1,3,4
发表期刊	IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
ISSN	2379-8920
	2023-09-01
卷号	15 期号:3 页码:1161-1169
通讯作者	Hou, Zeng-Guang(zengguang.hou@ia.ac.cn)
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.
关键词	Alzheimer's disease (AD) cognitive assessment convolutional neural networks (CNNs) graph neural networks structural magnetic resonance imaging (sMRI)
DOI	10.1109/TCDS.2022.3204782
关键词[WOS]	DIAGNOSIS
收录类别	SCI
语种	英语
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]
项目资助者	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
WOS研究方向	Computer Science ; Robotics ; Neurosciences & Neurology
WOS类目	Computer Science, Artificial Intelligence ; Robotics ; Neurosciences
WOS记录号	WOS:001089186500015
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/54278
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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100190, Peoples R China 4.Macau Univ Sci & Technol, Inst Syst Engn, CASIA MUST Joint Lab Intelligence Sci & Technol, Macau, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.