Efficient electromagnetic source imaging with adaptive standardized LORETA/FOCUSS
Efficient electromagnetic source imaging with adaptive standardized LORETA/FOCUSS
复制标题
通过自适应标准化 LORETA/FOCUSS 进行高效电磁源成像
DOI：
10.1109/tbme.2005.845365
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发表时间：
2005
影响因子：
4.6
通讯作者：
J. Haueisen
中科院分区：
文献类型：
--
作者：
P. Schimpf;Hesheng Liu;C. Ramon;J. Haueisen
脑功能成像和基于头皮电位场的源定位需要求解一个具有多解的不适定逆问题。这使得有必要纳入先验知识，以选择一个特定的解决方案。对于某些特定对象头部模型的计算挑战是，许多逆算法需要以期望的分辨率对候选源空间进行全面采样。在这项研究中，我们提出了一种算法，可以准确地重建局部源活动的细节，从候选源空间的稀疏采样。通过自适应程序，增加源分辨率的空间范围减少，向前计算最小化。使用该算法，我们能够仅使用全分辨率导联场的6%至11%来计算逆，其定位精度与通过全采样源空间的穷举搜索没有显著差异。该技术是，因此，适用于与解剖学上的现实，特定主题的应用程序与空间集中的源活动的前向模型。
Functional brain imaging and source localization based on the scalp's potential field require a solution to an ill-posed inverse problem with many solutions. This makes it necessary to incorporate a priori knowledge in order to select a particular solution. A computational challenge for some subject-specific head models is that many inverse algorithms require a comprehensive sampling of the candidate source space at the desired resolution. In this study, we present an algorithm that can accurately reconstruct details of localized source activity from a sparse sampling of the candidate source space. Forward computations are minimized through an adaptive procedure that increases source resolution as the spatial extent is reduced. With this algorithm, we were able to compute inverses using only 6% to 11% of the full resolution lead-field, with a localization accuracy that was not significantly different than an exhaustive search through a fully-sampled source space. The technique is, therefore, applicable for use with anatomically-realistic, subject-specific forward models for applications with spatially concentrated source activity.
DOI：
10.1016/0013-4694(95)00107-a
发表时间：
1995-10-01
期刊：
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子：
--
作者：
GORODNITSKY, IF;GEORGE, JS;RAO, BD
通讯作者：
RAO, BD