| A review of EEG and MEG for brainnetome research | |
Zhang, Xin1,2 ; Lei, Xu3,4,5; Wu, Ting5,6; Jiang, Tianzi1,2,5,7; Tianzi Jiang
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| 发表期刊 | COGNITIVE NEURODYNAMICS
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| 2014-04-01 | |
| 卷号 | 8期号:2页码:87-98 |
| 文章类型 | Review |
| 摘要 | The majority of brain activities are performed by functionally integrating separate regions of the brain. Therefore, the synchronous operation of the brain's multiple regions or neuronal assemblies can be represented as a network with nodes that are interconnected by links. Because of the complexity of brain interactions and their varying effects at different levels of complexity, one of the corresponding authors of this paper recently proposed the brainnetome as a new -ome to explore and integrate the brain network at different scales. Because electroencephalography (EEG) and magnetoencephalography (MEG) are noninvasive and have outstanding temporal resolution and because they are the primary clinical techniques used to capture the dynamics of neuronal connections, they lend themselves to the analysis of the neural networks comprising the brainnetome. Because of EEG/MEG's applicability to brainnetome analyses, the aim of this review is to identify the procedures that can be used to form a network using EEG/MEG data in sensor or source space and to promote EEG/MEG network analysis for either neuroscience or clinical applications. To accomplish this aim, we show the relationship of the brainnetome to brain networks at the macroscale and provide a systematic review of network construction using EEG and MEG. Some potential applications of the EEG/MEG brainnetome are to use newly developed methods to associate the properties of a brainnetome with indices of cognition or disease conditions. Associations based on EEG/MEG brainnetome analysis may improve the comprehension of the functioning of the brain in neuroscience research or the recognition of abnormal patterns in neurological disease. |
| 关键词 | Eeg Meg Brainnetome Brain Network |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 关键词[WOS] | INDEPENDENT COMPONENT ANALYSIS ; FUNCTIONAL BRAIN CONNECTIVITY ; SMALL-WORLD NETWORK ; HIGH-RESOLUTION EEG ; ALZHEIMERS-DISEASE ; SOURCE LOCALIZATION ; GENERALIZED SYNCHRONIZATION ; CORTICAL CONNECTIVITY ; GRANGER CAUSALITY ; WORKING-MEMORY |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Neurosciences & Neurology |
| WOS类目 | Neurosciences |
| WOS记录号 | WOS:000332734200001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/3194 |
| 专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
| 通讯作者 | Tianzi Jiang |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Southwest Univ, Minist Educ, Key Lab Cognit & Personal, Chongqing, Peoples R China 4.Southwest Univ, Sch Psychol, Chongqing, Peoples R China 5.Univ Elect Sci & Technol China, Sch Life Sci & Technol, Minist Educ, Key Lab NeuroInformat, Chengdu 610054, Peoples R China 6.Nanjing Med Univ, Nanjing Brain Hosp, Dept Magnetoencephalog, Nanjing 210029, Jiangsu, Peoples R China 7.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia |
| 第一作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Zhang, Xin,Lei, Xu,Wu, Ting,et al. A review of EEG and MEG for brainnetome research[J]. COGNITIVE NEURODYNAMICS,2014,8(2):87-98. |
| APA | Zhang, Xin,Lei, Xu,Wu, Ting,Jiang, Tianzi,&Tianzi Jiang.(2014).A review of EEG and MEG for brainnetome research.COGNITIVE NEURODYNAMICS,8(2),87-98. |
| MLA | Zhang, Xin,et al."A review of EEG and MEG for brainnetome research".COGNITIVE NEURODYNAMICS 8.2(2014):87-98. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Zhang-Cog Neurodyn-2（391KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 | |
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