Spatial-temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram
文献类型：期刊论文
| 作者 | Shan, Xiaocai2,3; Cao, Jun3; Huo, Shoudong2; Chen, Liangyu4; Sarrigiannis, Ptolemaios Georgios1; Zhao, Yifan3 |
| 刊名 | HUMAN BRAIN MAPPING
 |
| 出版日期 | 2022-06-25 |
| 页码 | 16 |
| ISSN号 | 1065-9471 |
| 关键词 | artificial intelligence brain association electroencephalogram graph convolutional neural network machine learning |
| DOI | 10.1002/hbm.25994 |
| 英文摘要 | Functional connectivity of the human brain, representing statistical dependence of information flow between cortical regions, significantly contributes to the study of the intrinsic brain network and its functional mechanism. To fully explore its potential in the early diagnosis of Alzheimer's disease (AD) using electroencephalogram (EEG) recordings, this article introduces a novel dynamical spatial-temporal graph convolutional neural network (ST-GCN) for better classification performance. Different from existing studies that are based on either topological brain function characteristics or temporal features of EEG, the proposed ST-GCN considers both the adjacency matrix of functional connectivity from multiple EEG channels and corresponding dynamics of signal EEG channel simultaneously. Different from the traditional graph convolutional neural networks, the proposed ST-GCN makes full use of the constrained spatial topology of functional connectivity and the discriminative dynamic temporal information represented by the 1D convolution. We conducted extensive experiments on the clinical EEG data set of AD patients and Healthy Controls. The results demonstrate that the proposed method achieves better classification performance (92.3%) than the state-of-the-art methods. This approach can not only help diagnose AD but also better understand the effect of normal ageing on brain network characteristics before we can accurately diagnose the condition based on resting-state EEG. |
| WOS关键词 | NEURAL-NETWORKS ; SYNAPSE LOSS ; EEG SIGNALS ; DISEASE ; SYNCHRONIZATION ; DIAGNOSIS ; CORRELATE ; CORTEX ; MODEL |
| 资助项目 | National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility |
| WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000815594500001 |
| 资助机构 | National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility ; National Institute for Health Research (NIHR) Sheffield Biomedical Research Centre (Translational Neuroscience)/NIHR Sheffield Clinical Research Facility |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/105880]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 |
| 通讯作者 | Zhao, Yifan |
| 作者单位 | 1.Royal Devon & Exeter NHS Fdn Trust, Exeter, Devon, England 2.Chinese Acad Sci, Inst Geol & Geophys, Beijing, Peoples R China 3.Cranfield Univ, Sch Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England 4.China Med Univ, Shengjing Hosp, Dept Neurosurg, Shenyang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shan, Xiaocai,Cao, Jun,Huo, Shoudong,et al. Spatial-temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram[J]. HUMAN BRAIN MAPPING,2022:16. |
| APA | Shan, Xiaocai,Cao, Jun,Huo, Shoudong,Chen, Liangyu,Sarrigiannis, Ptolemaios Georgios,&Zhao, Yifan.(2022).Spatial-temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram.HUMAN BRAIN MAPPING,16. |
| MLA | Shan, Xiaocai,et al."Spatial-temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram".HUMAN BRAIN MAPPING (2022):16. |
入库方式： OAI收割
来源：地质与地球物理研究所
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