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: FLORIDA ATLANTIC UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-11 至 2003-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6085068
• 关键词: bioimaging /biomedical imaging; brain imaging /visualization /scanning; electroencephalography; functional magnetic resonance imaging; human data; image enhancement; magnetoencephalography; mathematical model; neuroregulation; sensorimotor system; sound perception; technology /technique development

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.

该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）和功能性MRI（fMRI），以克服电生理技术的空间分辨率差和fMRI的时间分辨率低的问题，从而提供更完整的视图。 时空大脑动力学。 该方法利用 MRI 的功能来定位任务期间激活的大脑内的 3D 区域。 主要功能包括关注从功能磁共振成像扫描中识别的感兴趣区域并计算正向解决方案而不是解决逆向问题。了解这些激活位点的皮层表面的折叠或局部形状可以找到一组传感器的权重系数，以增加磁力计或一组电极对这些特定区域的灵敏度，即聚焦于活动区域。 结果将使我们能够以脑电图或脑磁图（毫秒）的时间分辨率观察局部活动的时间过程。该项目使用的数据集将包括 143 通道 MEG、120 电极 EEG、高分辨率 MRI 和 fMRI，记录于 1999 年，使用来自同一受试者在听觉运动协调和听觉感知任务期间的所有技术。该数据库将在我们的网站上提供，其他研究人员可以使用它来测试和改进分析和可视化算法。