课题基金 / 基金详情

COMBINING EEG, MEG, FMRI

COMBINING EEG, MEG, FMRI
结合脑电图、脑磁图、功能磁共振成像
批准号:
6085068
负责人:
Armin Fuchs
金额:
$13.36万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-08-11 至 2003-07-31

项目摘要

项目成果

相关文献

中文摘要
翻译
本项目的目的是提供一种新的方法来结合不同的非侵入性脑成像技术,即脑电图(EEG),脑磁图(MEG),磁共振成像(MRI)和功能磁共振成像(fMRI),以克服电生理技术的空间分辨率差和fMRI的时间分辨率低,从而提供一个更完整的时空脑动力学视图。 这种方法利用了核磁共振成像的能力来定位大脑内部在任务过程中被激活的三维区域。 主要功能包括关注从fMRI扫描中识别出的感兴趣区域,并计算正解而不是求解逆问题。在这些激活位点处的皮层表面的折叠或局部形状的知识允许找到用于传感器的一组权重系数,以增加磁力计或电极组对于这些特定区域的灵敏度,即,聚焦于活动区域。 其结果将使我们能够以EEG或MEG的时间分辨率(毫秒)观察局部活动的时间过程。本项目中使用的数据集将包括143通道MEG、120电极EEG、高分辨率MRI和fMRI,将于1999年在听觉运动协调和听觉感知任务期间使用来自相同受试者的所有技术进行记录。该数据库将在我们的网站上提供,并可供其他研究人员使用,以测试和改进分析和可视化算法。
英文摘要
The aim of this project is to provide a new approach to combining the different non-invasive brain imaging technologies, i.e. electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI) and functional MRI (fMRI) in order to overcome the poor spatial resolution of the electrophysiological techniques and the low temporal resolution of fMRI thus providing a more complete view of spatiotemporal brain dynamics. The approach takes advantage of the capabilities of MRI to locate the 3-d regions inside the brain that are activated during a task. Key features include focusing on regions of interest identified from fMRI scans and calculating forward solutions instead of solving an inverse problem. Knowledge of the folding or local shape of the cortex surface at these activation sites allows for a set of weight coefficients for sensors to be found to increase the sensitivity of the magnetometer or set of electrodes for these particular regions, i.e. to focus on the activity regions. The outcome will enable us to observe the time course of local activities with the temporal resolution of EEG or MEG (milliseconds). The dataset to be used in this project will consist of 143- channel MEG, 120-electrode EEG, high-resolution MRI and fMRI to be recorded in 1999 with all technologies from the same subjects during auditory-motor coordination and auditory perception tasks. This database will be made available on our web site and can be used by other researchers to test and improve analysis and visualization algorithms.
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