BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI
文献类型：期刊论文
| 作者 | Fan, Chen-Chen3,4 ; Yang, Hongjun4; Peng, Liang4; Zhou, Xiao-Hu4; Ni, Zhen-Liang3,4; Zhou, Yan-Jie3,4; Chen, Sheng3,4; Hou, Zeng-Guang1,2,4
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| 刊名 | IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
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| 出版日期 | 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. |
| WOS关键词 | DIAGNOSIS |
| 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研究方向 | Computer Science ; Robotics ; Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:001089186500015 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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