|本期目录/Table of Contents|

基于脑电和磁刺激的脑功能网络研究(PDF)

《纳米技术与精密工程》[ISSN:1672-6030/CN:12-1351/O3]

期数:
2015年5期
页码:
359-365
栏目:
神经工程学中的精密测量、计算与控制技术
出版日期:
2015-09-15

文章信息/Info

Title:
Study of Brain Functional Network Based on Electroencephalogram and Magnetic Stimulation
作者:
付灵弟12 徐桂芝12 郭苗苗12 尹宁12 于洪丽12
(1.河北工业大学电气工程学院生物医学工程系,天津 300130;
2. 河北工业大学河北省电磁场与电器可靠性省部共建重点实验室,天津 300130)
Author(s):
Fu Lingdi12 Xu Guizhi12 Guo Miaomiao12 Yin Ning12Yu Hongli12
(1.Department of Biomedical Engineering, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China;
2. Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability,
Hebei University of Technology, Tianjin 300130, China)
关键词:
脑电经颅磁刺激脑网络
Keywords:
electroencephalogram transcranial magnetic stimulation brain network
分类号:
R318
DOI:
10.13494/j.npe.20150052
文献标识码:
A
摘要:

大脑的结构和功能具有高度复杂性,其功能执行需要依赖于脑功能区之间的相互作用所构成的网络实现.脑电(EEG)作为一种无创医学检测技术因包含了大量的生理、病理信息且能够

反映大脑的功能活动状态,被广泛应用于脑科学以及认知神经科学的研究中.经颅磁刺激(TMS)技术作为一种新型的刺激方式,因具有众多显著优势被应用于临床研究并在人体神经功能调

控、疾病治疗以及康复理疗等方面表现出很好的应用前景.鉴于此,本文首先分析了脑网络研究的必要性及迫切性,回顾了近年来国内外基于EEG、功能磁共振成像(fMRI)等技术的脑功能

网络研究成果,重点介绍了基于EEG和TMS技术的脑功能网络的构建与分析,最后对脑网络研究中存在的问题及该领域面临的挑战进行了讨论.

Abstract:

The structure and function of the brain are highly complex, and the implementation of brain function depends on the regional connections.

Electroencephalogram (EEG), a noninvasive medical detection technique, contains a large number of physiological and pathological information, and thus can be used to

map functional activities of the brain, which is widely used in brain science and cognitive neuroscience research. Transcranial magnetic stimulation (TMS) as a novel

stimulus, demonstrates a promising application prospect in clinical research including regulation of human neural function, disease treatment and rehabilitation

therapy. In this paper, we analyze the necessity and urgency of brain network research, review the studies of brain functional network based on EEG and functional

magnetic resonance imaging (fMRI), and highlight the construction and analysis of brain functional network based on EEG and TMS technology. Finally, this paper

discusses key questions and the challenges in the field of brain network research.

参考文献/References

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备注/Memo

备注/Memo:
收稿日期: 2015-08-02.
基金项目: 国家自然科学基金资助项目(51377045);教育部高等学校博士学科点专项科研基金资助项目(20121317110002).
作者简介: 付灵弟(1988—), 女, 博士生.
通讯作者: 徐桂芝, 教授, gzxu@hebut.edu.cn.
更新日期/Last Update: 2015-11-27