[1] Jiang Haiteng, Lu Qing, Han Yinglin, Yao Zhijian, et al. Single-trial evoked brain responsesmodeled by multichannel matching pursuit [J]. Journal of Southeast University (English Edition), 2010, 26 (4): 546-549. [doi:10.3969/j.issn.1003-7985.2010.04.009]

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Single-trial evoked brain responsesmodeled by multichannel matching pursuit()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

26

Issue:

2010 4

Page:

546-549

Research Field:

Biological Science and Medical Engineering

Publishing date:

2010-12-30

Info

Title:

Single-trial evoked brain responsesmodeled by multichannel matching pursuit

Author(s):

Jiang Haiteng¹;  Lu Qing¹;  Han Yinglin²;  Yao Zhijian²;  Liu Gang¹

¹Research Center for Learning Science, Southeast University, Nanjing 210096, China
²Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China

Keywords:

magnetoencephalography(MEG);  single trial;  multichannel matching pursuit;  source reconstruction

PACS:

Q64;TP301.4

DOI:

10.3969/j.issn.1003-7985.2010.04.009

Abstract:

A multichannel matching pursuit(MMP)algorithm is proposed to decompose the one-dimensional multichannel non-stationary magnetoencephalography(MEG)signal at a single-trial level. The single-channel matching pursuit(MP)linearly decomposes the signal into a set of Gabor atoms, which are adaptively chosen from an overcomplete dictionary with good time-frequency characters. The MMP is the extension of the MP, which represents multichannel signals using linear combination of Gabor atoms with the same occurrence, frequency, phase, and time width, but varying amplitude in all channels. The results demonstrate that the MMP can optimally reconstruct the original signal and automatically remove artifact noises. Moreover, the coherence between the 3D source reconstruction and the prior knowledge of psychology further suggests that the MMP is effective in MEG single-trial processing.

References:

[1] Cao J T, Murata N, Cichocki A, et al. Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization [J]. Neurocomputing, 2002, 49(1/2/3/4): 255-277.
[2] Studer D, Hoffmann U, Koenig T. From EEG dependency multichannel matching pursuit to sparse topographic EEG decomposition [J]. Journal of Neuroscience Methods, 2006, 153(2): 261-275.
[3] Gratkowski M, Haueisen J, Arendt-Nielsen L, et al. Time-frequency filtering of MEG signals with matching pursuit[J]. Journal of Physiology-Paris, 2006, 99(1): 47-57.
[4] Durka P J, Ircha D, Blinowska K J. Matching pursuit [J]. IEEE Transactions on Signal Processing, 2001, 49(3): 507-510.
[5] Gribonval R, Rauhut H, Schnass K, et al. Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms [J]. Journal of Fourier Analysis and Applications, 2008, 14(5/6): 655-687.
[6] Koenig T, Marti-Lopez F, Valdes-Sosa P. Topographic time-frequency decomposition of the EEG [J]. NeuroImage, 2001, 14(2): 383-390.
[7] Durka P J. Adaptive time-frequency parametrization of epileptic spikes [J]. Physical Review E, 2004, 69(5): 51914.
[8] Wellcome Trust Center for Neuroimaging. Statistical parametric mapping[EB/OL]. [2008-10-12]. http://www.fil.ion.ucl.ac.uk/spm.
[9] Friston K, Harrison L, Daunizeau J, et al. Multiple sparse priors for the M/EEG inverse problem [J]. NeuroImage, 2008, 39(3): 1104-1120.
[10] Liotti M, Woldorff M G, Perez R, et al. An ERP study of the temporal course of the Stroop color-word interference effect [J]. Neuropsychologia, 2001, 38(5): 701-711.
[11] Larson M J, Kaufman D A S, Perlstein W M. Neural time course of conflict adaptation effects on the Stroop task [J]. Neuropsychologia, 2009, 47(3): 663-670.
[12] Mallat S G, Zhang Z F. Matching pursuit with time frequency dictionaries [J]. IEEE Transactions on Signal Processing, 1993, 41(12): 3397-3415.

Memo

Memo:

Biographies: Jiang Haiteng(1985—), male, graduate; Lu Qing(corresponding author ), female, doctor, associate professor, luq@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.30900356, 81071135), the National High Technology Research and Development Program of China(863 Program)(No.2008AA02Z410).
Citation: Jiang Haiteng, Lu Qing, Han Yinglin, et al.Single-trial evoked brain responses modeled by multichannel matching pursuit[J].Journal of Southeast University(English Edition), 2010, 26(4):546-549.

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