EEG-fMRI融合技术在静息态中的应用

发布时间：2018-04-27 10:03

本文选题：EEG-fMRI同时技术 + 静息态　；参考：《华南师范大学学报(社会科学版)》2017年06期

【摘要】：静息态下大脑的自发脑活动规律,对理解其对认知活动的影响以及潜在临床应用具有重要意义。同时,由于EEG与f MRI各有其缺点,对探索脑活动有各自的限制。因此,EEG-f MRI融合技术通过结合两者的优势,具有高时间和空间分辨率的特点,能更全面地研究静息态下的脑活动机制。国内外的EEG-f MRI同时技术仍处于发展阶段,加上多模态分析有其难点,例如信号噪音因人而异难以去除、融合分析方法繁多复杂、实验限制太多等,使大多研究者对其望而却步。EEGf MRI同时技术在静息态下有不同的数据处理方法,包括特殊的伪迹去除以及数据的三种融合方法。在伪迹去除方面,梯度伪迹可以通过平均伪迹模板减法(AAS)和f MRI伪迹切片模板去除(FASTR)去除,而心电伪迹则可以通过平均伪迹模板减法(AAS)、最优基础选择(OBS)和独立成分分析(ICA)去除。在数据融合方面,总结出EEG与f MRI独立对比分析、EEG-informed f MRI和f MRI-infomed EEG三种方法;其中EEG-informed f MRI是较为常用的处理方法,一般利用EEG的三种信号指标与BOLD信号做相关分析,包括功率谱(Power Spectrum)、全脑域同步(Global Field Synchronization)和微状态(Microstate)。
[Abstract]:The regularity of brain spontaneous brain activity in resting state is of great significance in understanding its influence on cognitive activity and its potential clinical application. At the same time, because of the disadvantages of EEG and f MRI, the exploration of brain activity has its own limitations. Therefore, EEG-f MRI fusion technology can comprehensively study the brain activity mechanism in resting state by combining the advantages of the two techniques and the characteristics of high temporal and spatial resolution. At home and abroad, the EEG-f MRI technology is still in the developing stage, and there are some difficulties in multi-modal analysis, such as the difficulty of signal noise, the complexity of fusion analysis methods, the limitation of experiments, and so on. At the same time, many researchers have different methods of data processing under resting state, including special artifact removal and data fusion. In terms of artifact removal, gradient artifact can be removed by average artifact template subtraction (AASS) and f MRI artifact slice template (FASTRT), while ECG artifact can be removed by average artifact template subtraction (AASS), optimal basis selection (MRI) and independent component analysis (ICA). In the aspect of data fusion, three methods of independent comparative analysis between EEG and f MRI are summarized, in which EEG-informed f MRI is a common processing method, and the three signal indexes of EEG are generally used to do correlation analysis with BOLD signal. It includes Power Spectrum, Global Field synchronization and Microstate.
【作者单位】：华南师范大学心理学院;山东中医药大学西医外科教研室;台北医学大学大脑与意识研究中心;
【基金】：国家自然科学基金面上项目“刺激诱发的BOLD信号时间变化性的改变与相应脑血流改变的关系:GABA-A受体的调节作用”(31771294)
【分类号】：R445.2

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