Computing MEG signal sources

J. Mikael Eklund; Ruzena Bajcsy; Jonathan Sprinkle; Gregory V. Simpson

doi:10.1109/CSBW.2005.42

Computing MEG signal sources

J. Mikael Eklund, Ruzena Bajcsy, Jonathan Sprinkle, Gregory V. Simpson

Electrical and Computer Engineering

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

Abstract

This paper deals with the complexity of the inverse computation of brain currents from Magnetoencephalography (MEG) signals. MEG measures the magnetic field outside the head: in effect, the resultant field from the flow of current inside the brain. We describe our current techniques to perform this inverse computation (called source estimation in much of the literature), which provides a view of brain activity that is less sensitive to disturbances which affect other kinds of brain activity measurements, though much more expensive to record.

Original language	English (US)
Title of host publication	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Pages	332-335
Number of pages	4
DOIs	https://doi.org/10.1109/CSBW.2005.42
State	Published - 2005
Event	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts - Stanford, CA, United States Duration: Aug 8 2005 → Aug 11 2005

Publication series

Name	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Other

Other	2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts
Country/Territory	United States
City	Stanford, CA
Period	8/8/05 → 8/11/05

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/CSBW.2005.42

Cite this

Computing MEG signal sources. / Eklund, J. Mikael; Bajcsy, Ruzena; Sprinkle, Jonathan et al.
2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts. 2005. p. 332-335 1540637 (2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts).

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

Eklund, JM, Bajcsy, R, Sprinkle, J & Simpson, GV 2005, Computing MEG signal sources. in 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts., 1540637, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, pp. 332-335, 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts, Stanford, CA, United States, 8/8/05. https://doi.org/10.1109/CSBW.2005.42

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AB - This paper deals with the complexity of the inverse computation of brain currents from Magnetoencephalography (MEG) signals. MEG measures the magnetic field outside the head: in effect, the resultant field from the flow of current inside the brain. We describe our current techniques to perform this inverse computation (called source estimation in much of the literature), which provides a view of brain activity that is less sensitive to disturbances which affect other kinds of brain activity measurements, though much more expensive to record.

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T3 - 2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

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Computing MEG signal sources

Abstract

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Other

ASJC Scopus subject areas

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