Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation

Raoul P.P.P. Grasman; Hilde M. Huizenga; Lourens J. Waldorp; Peter C.M. Molenaar; Koen B.E. Böcker

doi:10.1016/j.dsp.2004.09.003

Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation

Raoul P.P.P. Grasman
, Hilde M. Huizenga
, Lourens J. Waldorp
, Peter C.M. Molenaar
, Koen B.E. Böcker

Human Development and Family Studies

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

In [R.P.P.P. Grasman et al., Frequency domain simultaneous source and source coherence estimation with an application to MEG, IEEE Trans. Biomed. Eng. 51 (1) (2004) 45-55] we proposed to analyze cross-spectrum matrices obtained from electro- or magnetoencephalographic (EEG/MEG) signals, to obtain estimates of the EEG/MEG sources and their coherence. In this paper we extend this method in two ways. First, by modelling such interactions as linear filters, and second, by taking the mean of the signals across different trials into account. To obtain estimates we propose a stochastic maximum likelihood (SML) method, and obtain the concentrated likelihood that includes the trial means.

Original language	English (US)
Pages (from-to)	56-72
Number of pages	17
Journal	Digital Signal Processing: A Review Journal
Volume	15
Issue number	1
DOIs	https://doi.org/10.1016/j.dsp.2004.09.003
State	Published - Jan 2005

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Signal Processing
Applied Mathematics
Electrical and Electronic Engineering
Computer Vision and Pattern Recognition
Statistics, Probability and Uncertainty
Computational Theory and Mathematics

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10.1016/j.dsp.2004.09.003

Cite this

@article{7321723795ea44ed9b5d4bb9e7fb4593,

title = "Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation",

abstract = "In [R.P.P.P. Grasman et al., Frequency domain simultaneous source and source coherence estimation with an application to MEG, IEEE Trans. Biomed. Eng. 51 (1) (2004) 45-55] we proposed to analyze cross-spectrum matrices obtained from electro- or magnetoencephalographic (EEG/MEG) signals, to obtain estimates of the EEG/MEG sources and their coherence. In this paper we extend this method in two ways. First, by modelling such interactions as linear filters, and second, by taking the mean of the signals across different trials into account. To obtain estimates we propose a stochastic maximum likelihood (SML) method, and obtain the concentrated likelihood that includes the trial means.",

author = "Grasman, \{Raoul P.P.P.\} and Huizenga, \{Hilde M.\} and Waldorp, \{Lourens J.\} and Molenaar, \{Peter C.M.\} and B{\"o}cker, \{Koen B.E.\}",

note = "Funding Information: The Netherlands Organization for Scientific Research (NWO) is gratefully acknowledged for funding this project. This research was conducted while R. Grasman (527-25-014), L. Waldorp (527-25-013), and K. B{\"o}cker (527-25-015) were supported by a grant of the NWO foundation for Behavioral and Educational Sciences of this organization awarded to H.M. Huizenga, P.C.M. Molenaar, L.J. Kenemans, and J.C. de Munck. We thank Dr. Conor V. Dolan for proofreading.",

year = "2005",

month = jan,

doi = "10.1016/j.dsp.2004.09.003",

language = "English (US)",

volume = "15",

pages = "56--72",

journal = "Digital Signal Processing: A Review Journal",

issn = "1051-2004",

publisher = "Elsevier Inc.",

number = "1",

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TY - JOUR

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AU - Grasman, Raoul P.P.P.

AU - Huizenga, Hilde M.

AU - Waldorp, Lourens J.

AU - Molenaar, Peter C.M.

AU - Böcker, Koen B.E.

N1 - Funding Information: The Netherlands Organization for Scientific Research (NWO) is gratefully acknowledged for funding this project. This research was conducted while R. Grasman (527-25-014), L. Waldorp (527-25-013), and K. Böcker (527-25-015) were supported by a grant of the NWO foundation for Behavioral and Educational Sciences of this organization awarded to H.M. Huizenga, P.C.M. Molenaar, L.J. Kenemans, and J.C. de Munck. We thank Dr. Conor V. Dolan for proofreading.

PY - 2005/1

Y1 - 2005/1

N2 - In [R.P.P.P. Grasman et al., Frequency domain simultaneous source and source coherence estimation with an application to MEG, IEEE Trans. Biomed. Eng. 51 (1) (2004) 45-55] we proposed to analyze cross-spectrum matrices obtained from electro- or magnetoencephalographic (EEG/MEG) signals, to obtain estimates of the EEG/MEG sources and their coherence. In this paper we extend this method in two ways. First, by modelling such interactions as linear filters, and second, by taking the mean of the signals across different trials into account. To obtain estimates we propose a stochastic maximum likelihood (SML) method, and obtain the concentrated likelihood that includes the trial means.

AB - In [R.P.P.P. Grasman et al., Frequency domain simultaneous source and source coherence estimation with an application to MEG, IEEE Trans. Biomed. Eng. 51 (1) (2004) 45-55] we proposed to analyze cross-spectrum matrices obtained from electro- or magnetoencephalographic (EEG/MEG) signals, to obtain estimates of the EEG/MEG sources and their coherence. In this paper we extend this method in two ways. First, by modelling such interactions as linear filters, and second, by taking the mean of the signals across different trials into account. To obtain estimates we propose a stochastic maximum likelihood (SML) method, and obtain the concentrated likelihood that includes the trial means.

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DO - 10.1016/j.dsp.2004.09.003

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EP - 72

JO - Digital Signal Processing: A Review Journal

JF - Digital Signal Processing: A Review Journal

IS - 1

ER -

Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation

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