The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker products

被引:36
作者
Bijma, F [1 ]
de Munck, JC [1 ]
Heethaar, RM [1 ]
机构
[1] Vrije Univ Amsterdam, Med Ctr, Dept PMT, MEG Ctr, Amsterdam, Netherlands
关键词
magnetoencephalography; spatiotemporal covariance; Kronecker product; alpha activity; temporal stationarity;
D O I
10.1016/j.neuroimage.2005.04.015
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The single Kroneeker product (KP) model for the spatiotemporal covariance of MEG residuals is extended to a sum of Kronecker products. This sum of KP is estimated such that it approximates the spatiotemporal sample covariance best in matrix norm. Contrary to the single KP, this extension allows for describing multiple, independent phenomena in the ongoing background activity. Whereas the single KP model can be interpreted by assuming that background activity is generated by randomly distributed dipoles with certain spatial and temporal characteristics, the sum model can be physiologically interpreted by assuming a composite of such processes. Taking enough terms into account, the spatiotemporal sample covariance matrix can be described exactly by this extended model. In the estimation of the sum of KP model, it appears that the sum of the first 2 KP describes between 67% and 93%. Moreover, these first two terms describe two physiological processes in the background activity: focal, frequency-specific alpha activity and more widespread non-frequency-specific activity. Furthermore, temporal nonstationarities due to trial-to-trial variations are not clearly visible in the first two terms, and, hence, play only a minor role in the sample covariance matrix in terms of matrix power. Considering the dipole localization, the single KP model appears to describe around 80% of the noise and seems therefore adequate. The emphasis of further improvement of localization accuracy should be on improving the source model rather than the covariance model. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:402 / 415
页数:14
相关论文
共 31 条
  • [1] [Anonymous], 1995, MATRIX DIFFERENTIAL
  • [2] A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurements
    Bijma, F
    de Munck, JC
    Huizenga, HM
    Heethaar, RM
    [J]. NEUROIMAGE, 2003, 20 (01) : 233 - 243
  • [3] Visual and auditory evoked phase resetting of the alpha EEG
    Brandt, ME
    [J]. INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 1997, 26 (1-3) : 285 - 298
  • [4] SIGNAL TO NOISE RATIO AND RESPONSE VARIABILITY MEASUREMENTS IN SINGLE TRIAL EVOKED-POTENTIALS
    COPPOLA, R
    TABOR, R
    BUCHSBAUM, MS
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1978, 44 (02): : 214 - 222
  • [5] A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data sets
    de Munck, JC
    Bijma, F
    Gaura, P
    Sieluzycki, CA
    Branco, MI
    Heethaar, RM
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004, 51 (12) : 2123 - 2128
  • [6] Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise
    de Munck, JC
    Huizenga, HM
    Waldorp, LJ
    Heethaar, RM
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (07) : 1565 - 1572
  • [7] A RANDOM DIPOLE MODEL FOR SPONTANEOUS BRAIN ACTIVITY
    DEMUNCK, JC
    VIJN, PCM
    DASILVA, FHL
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1992, 39 (08) : 791 - 804
  • [8] Estimating evoked dipole responses in unknown spatially correlated noise with EEG/MEG arrays
    Dogandzic, A
    Nehorai, A
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2000, 48 (01) : 13 - 25
  • [9] Single-trial variability in event-related BOLD signals
    Duann, JR
    Jung, TP
    Kuo, WJ
    Yeh, TC
    Makeig, S
    Hsieh, JC
    Sejnowski, TJ
    [J]. NEUROIMAGE, 2002, 15 (04) : 823 - 835
  • [10] SELAVCO - A METHOD TO DEAL WITH TRIAL-TO-TRIAL VARIABILITY OF EVOKED-POTENTIALS
    GASSER, T
    MOCKS, J
    VERLEGER, R
    [J]. ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, 1983, 55 (06): : 717 - 723