swLORETA: a novel approach to robust source localization and synchronization tomography

被引:134
作者
Palmero-Soler, Ernesto
Dolan, Kevin
Hadamschek, Volker
Tass, Peter A.
机构
[1] Res Ctr Julich, Inst Med, D-52425 Julich, Germany
[2] Res Ctr Julich, Virtual Inst Neuromodulat, D-52425 Julich, Germany
[3] Res Ctr Julich, Cent Inst Elect, D-52425 Julich, Germany
[4] Brain Imaging Ctr W, D-52425 Julich, Germany
[5] Univ Cologne, Dept Stereotax & Funct Neurosurg, D-50924 Cologne, Germany
关键词
ELECTROMAGNETIC TOMOGRAPHY; SLORETA;
D O I
10.1088/0031-9155/52/7/002
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Standardized low-resolution brain electromagnetic tomography ( sLORETA) is a widely used technique for source localization. However, this technique still has some limitations, especially under realistic noisy conditions and in the case of deep sources. To overcome these problems, we present here swLORETA, an improved version of sLORETA, obtained by incorporating a singular value decomposition-based lead field weighting. We show that the precision of the source localization can further be improved by a tomographic phase synchronization analysis based on swLORETA. The phase synchronization analysis turns out to be superior to a standard linear coherence analysis, since the latter cannot distinguish between real phase locking and signal mixing.
引用
收藏
页码:1783 / 1800
页数:18
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