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(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低空间分辨率和功能磁共振成像(FMRI)的低时间分辨率,从而提供更全面的时空脑动力学图像。这种方法利用核磁共振成像的能力来定位在任务期间激活的大脑内部的3-d区域。主要功能包括聚焦于从fMRI扫描中识别出的感兴趣区域,以及计算正向解而不是解决逆问题。了解这些激活部位的皮质表面的折叠或局部形状允许找到传感器的一组权重系数,以提高磁强计或这些特定区域的电极组的灵敏度,即专注于活动区域。结果将使我们能够以脑电或脑磁图(毫秒)的时间分辨率观察局部活动的时间进程。本项目使用的数据集将包括143个通道的脑磁图、120个电极的脑电、高分辨率磁共振成像和功能磁共振成像,将在1999年记录,在听觉-运动协调和听觉感知任务中使用来自相同受试者的所有技术。该数据库将在我们的网站上提供,并可供其他研究人员用于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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