Line-source modeling and estimation with magnetoencephalography

Imam Şamil Yetik; Arye Nehorai; Carlos H. Muravchik; Jens Haueisen

Line-source modeling and estimation with magnetoencephalography

Imam Şamil Yetik, Arye Nehorai, Carlos H. Muravchik, Jens Haueisen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We propose a number of line-source models for magnetoencephalography (MEG). We derive forward solutions, maximum likelihood (ML) estimates, and Cramér-Rao bound (CRB) expressions for the unknown parameters. We also apply our methods to real MEG data, the N20 response after electric stimulation of the median nerve, known to be an extended source. It is observed that the line-source models represent the N20 generator better than the focal model.

Original language	English
Title of host publication	2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	Macro to Nano
Pages	1339-1342
Number of pages	4
State	Published - 2004
Event	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States Duration: Apr 15 2004 → Apr 18 2004

Publication series

Name	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume	2

Conference

Conference	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/Territory	United States
City	Arlington, VA
Period	04/15/04 → 04/18/04

Cite this

@inproceedings{172f6827a9fb45c38e54a4ff90771e0e,

title = "Line-source modeling and estimation with magnetoencephalography",

abstract = "We propose a number of line-source models for magnetoencephalography (MEG). We derive forward solutions, maximum likelihood (ML) estimates, and Cram{\'e}r-Rao bound (CRB) expressions for the unknown parameters. We also apply our methods to real MEG data, the N20 response after electric stimulation of the median nerve, known to be an extended source. It is observed that the line-source models represent the N20 generator better than the focal model.",

author = "Yetik, {Imam {\c S}amil} and Arye Nehorai and Muravchik, {Carlos H.} and Jens Haueisen",

year = "2004",

language = "English",

isbn = "0780383885",

series = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano",

pages = "1339--1342",

booktitle = "2004 2nd IEEE International Symposium on Biomedical Imaging",

note = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano ; Conference date: 15-04-2004 Through 18-04-2004",

}

Yetik, IŞ, Nehorai, A, Muravchik, CH & Haueisen, J 2004, Line-source modeling and estimation with magnetoencephalography. in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, vol. 2, pp. 1339-1342, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, Arlington, VA, United States, 04/15/04.

Line-source modeling and estimation with magnetoencephalography. / Yetik, Imam Şamil; Nehorai, Arye; Muravchik, Carlos H. et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004. p. 1339-1342 (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Line-source modeling and estimation with magnetoencephalography

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N2 - We propose a number of line-source models for magnetoencephalography (MEG). We derive forward solutions, maximum likelihood (ML) estimates, and Cramér-Rao bound (CRB) expressions for the unknown parameters. We also apply our methods to real MEG data, the N20 response after electric stimulation of the median nerve, known to be an extended source. It is observed that the line-source models represent the N20 generator better than the focal model.

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M3 - Conference contribution

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SN - 0780383885

T3 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

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BT - 2004 2nd IEEE International Symposium on Biomedical Imaging

T2 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Y2 - 15 April 2004 through 18 April 2004

ER -

Line-source modeling and estimation with magnetoencephalography

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