The choice of the source space and the Laplacian matrix in LORETA and the spatio-temporal Kalman filter EEG inverse methods
The choice of the source space and the Laplacian matrix in LORETA and the spatio-temporal Kalman filter EEG inverse methods
复制标题
LORETA中源空间和拉普拉斯矩阵的选择及时空卡尔曼滤波脑电逆方法
DOI:
10.1109/embc.2015.7318960
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
M. Siniatchkin
中科院分区:
文献类型:
--
作者:
N. Habboush;L. Hamid;N. Japaridze;G. Wiegand;U. Heute;U. Stephani;A. Galka;M. Siniatchkin
The discretization of the brain and the definition of the Laplacian matrix influence the results of methods based on spatial and spatio-temporal smoothness, since the Laplacian operator is used to define the smoothness based on the neighborhood of each grid point. In this paper, the results of low resolution electromagnetic tomography (LORETA) and the spatiotemporal Kalman filter (STKF) are computed using, first, a greymatter source space with the standard definition of the Laplacian matrix and, second, using a whole-brain source space and a modified definition of the Laplacian matrix. Electroencephalographic (EEG) source imaging results of five inter-ictal spikes from a pre-surgical patient with epilepsy are used to validate the two aforementioned approaches. The results using the whole-brain source space and the modified definition of the Laplacian matrix were concentrated in a single source activation, stable, and concordant with the location of the focal cortical dysplasia (FCD) in the patient's brain compared with the results which use a grey-matter grid and the classical definition of the Laplacian matrix. This proof-of-concept study demonstrates a substantial improvement of source localization with both LORETA and STKF and constitutes a basis for further research in a large population of patients with epilepsy.
DOI:
10.1016/j.clinph.2010.10.043
发表时间:
2011-06
期刊:
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
影响因子:
--
作者:
Wang G;Worrell G;Yang L;Wilke C;He B
通讯作者:
He B