The improved FOCUSS combined with the fMRI priors for EEG source localization and its preliminary application.
- Author:
Peng XU
1
;
Xu LEI
;
Dezhong YAO
Author Information
1. Center of Neuroinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain Mapping;
Electroencephalography;
methods;
Image Processing, Computer-Assisted;
methods;
Linear Models;
Magnetic Resonance Imaging;
methods
- From:
Journal of Biomedical Engineering
2008;25(6):1425-1429
- CountryChina
- Language:Chinese
-
Abstract:
The sources generating the scalp recordings can be more precisely estimated with the use of fMRI priors. In this paper, an improved source localization algorithm which combines the fMRI priors into the iteration procedure of FOCUSS is presented. The modified algorithm consists of three steps: Firstly, the statistical parameters of fMRI are estimated with the ruler of SPM; Secondly, a diagonal weight matrix is constructed with the estimated parameters; Finally, the weight matrix is integrated into the iteration procedure of FOCUSS. The method was used to localize the EEG sources in the form discrimination experiments, where the fMRI and EEG were recorded, and the results preliminarily confirmed the validity of method.
