COMPARISON OF BOUNDARY-ELEMENT MODELS AND A FINITE-DIFFERENCE FORWARD MODEL

边界元模型与有限差分正演模型的比较

• 批准号: 7957663
• 负责人: MATTI HAMALAINEN
• 金额: $ 19.63万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2010-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7957663
• 关键词: Animal Model; Boundary Elements; Computer Retrieval of Information on Scientific Projects Database; Data Analyses; Electroencephalography; Electromagnetics; Functional Imaging; Functional Magnetic Resonance Imaging; Funding; Grant; Human; Imaging technology; Institution; Location; Modeling; Optics; Research; Research Personnel; Resources; Signal Transduction; Solutions; Source; United States National Institutes of Health; Weight; hemodynamics; novel; research study

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. IIn our previous studies we have introduced fMRI-weighted MEG and EEG source estimates employing cortical constraints. In this approach, fMRI and MEG/EEG data are analyzed independently and the locations of significant fMRI activity are employed in the MEG/EEG inverse model to bias the solution toward the fMRI result. The aim of this project is to extend this approach by refining the use of cortical constraints, by creating novel ways to utilize fMRI information in MEG/EEG source modeling, and by integrating the analysis of fMRI/MEG/EEG to a single combined inverse model. The prerequisite of the combined modeling approach is a model for the relationship between the hemodynamic and electromagnetic signals that are being studied in our combined human fMRI, MEG, EEG, and optical studies as well as experiments in animal models conducted by our collaborators.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 在我们以前的研究中，我们已经介绍了fMRI加权MEG和EEG源估计采用皮层约束。 在这种方法中，fMRI和MEG/EEG数据被独立地分析，并且显著的fMRI活动的位置被 在MEG/EEG逆模型中使用，以使解决方案偏向fMRI结果。该项目的目的是扩大 这种方法通过改进皮层约束的使用，通过创造新的方法来利用MEG/EEG中的fMRI信息， 源建模，并通过整合分析的fMRI/MEG/EEG到一个单一的组合逆模型。的前提 组合建模方法是用于血液动力学和电磁信号之间的关系的模型 这些都是我们在人体功能磁共振成像、脑磁图、脑电图和光学研究以及动物实验中所研究的 由我们的合作者进行的模型。