Quantification of the relationship between, magnetoencephalographic (MEG) and blood oxygenation dependent (BOLD) images of brain function

Gareth R. Barnes; Krish D. Singh; Ian Fawcett; Avgis Hadjipapas; Arjan Hillebrand

doi:10.1109/SSP.2003.1289401

Quantification of the relationship between, magnetoencephalographic (MEG) and blood oxygenation dependent (BOLD) images of brain function

Gareth R. Barnes
, Krish D. Singh
, Ian Fawcett
, Avgis Hadjipapas
, Arjan Hillebrand

Research output: Chapter in Book/Published conference output › Conference publication

2 Citations (Scopus)

Abstract

Magnetoencephalography (MEG) is the measurement of the magnetic fields generated outside the head by the brain’s electrical activity. The technique offers the promise of high temporal and spatial resolution. There is however an ambiguity in the inversion process of estimating what goes on inside the head from what is measured outside. Other techniques, such as functional Magnetic Resonance Imaging (fMRI) have no such inversion problems yet suffer from poorer temporal resolution. In this study we examined metrics of mutual information and linear correlation between volumetric images from the two modalities. Measures of mutual information reveal a significant, non-linear, relationship between MEG and fMRI datasets across a number of frequency bands.

Original language	English
Title of host publication	2003 IEEE Workshop on Statistical Signal Processing
Place of Publication	New York, NY (US)
Publisher	IEEE
Pages	290-292
Number of pages	3
ISBN (Print)	9780780379978
DOIs	https://doi.org/10.1109/SSP.2003.1289401
Publication status	Published - Sept 2003
Event	IEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States Duration: 28 Sept 2003 → 1 Oct 2003

Conference

Conference	IEEE Workshop on Statistical Signal Processing, SSP 2003
Country/Territory	United States
City	St. Louis
Period	28/09/03 → 1/10/03

Bibliographical note

2003 IEEE Workshop on Statistical Signal Processing, 28 September - 1 October 2003, St Louis, Missouri (US).

Keywords

magnetoencephalography
MEG
magnetic fields
brain
electrical activity
temporal resolution
spatial resolution
outside
magnetic resonance imaging
fMRI
frequency bands

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10.1109/SSP.2003.1289401

Cite this

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title = "Quantification of the relationship between, magnetoencephalographic (MEG) and blood oxygenation dependent (BOLD) images of brain function",

abstract = "Magnetoencephalography (MEG) is the measurement of the magnetic fields generated outside the head by the brain{\textquoteright}s electrical activity. The technique offers the promise of high temporal and spatial resolution. There is however an ambiguity in the inversion process of estimating what goes on inside the head from what is measured outside. Other techniques, such as functional Magnetic Resonance Imaging (fMRI) have no such inversion problems yet suffer from poorer temporal resolution. In this study we examined metrics of mutual information and linear correlation between volumetric images from the two modalities. Measures of mutual information reveal a significant, non-linear, relationship between MEG and fMRI datasets across a number of frequency bands.",

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author = "Barnes, \{Gareth R.\} and Singh, \{Krish D.\} and Ian Fawcett and Avgis Hadjipapas and Arjan Hillebrand",

note = "2003 IEEE Workshop on Statistical Signal Processing, 28 September - 1 October 2003, St Louis, Missouri (US).; IEEE Workshop on Statistical Signal Processing, SSP 2003 ; Conference date: 28-09-2003 Through 01-10-2003",

year = "2003",

month = sep,

doi = "10.1109/SSP.2003.1289401",

language = "English",

isbn = "9780780379978",

pages = "290--292",

booktitle = "2003 IEEE Workshop on Statistical Signal Processing",

publisher = "IEEE",

address = "United States",

}

Barnes, GR, Singh, KD, Fawcett, I, Hadjipapas, A & Hillebrand, A 2003, Quantification of the relationship between, magnetoencephalographic (MEG) and blood oxygenation dependent (BOLD) images of brain function. in 2003 IEEE Workshop on Statistical Signal Processing. IEEE, New York, NY (US), pp. 290-292, IEEE Workshop on Statistical Signal Processing, SSP 2003, St. Louis, United States, 28/09/03. https://doi.org/10.1109/SSP.2003.1289401

Quantification of the relationship between, magnetoencephalographic (MEG) and blood oxygenation dependent (BOLD) images of brain function. / Barnes, Gareth R.; Singh, Krish D.; Fawcett, Ian et al.
2003 IEEE Workshop on Statistical Signal Processing. New York, NY (US): IEEE, 2003. p. 290-292.

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Singh, Krish D.

AU - Fawcett, Ian

AU - Hadjipapas, Avgis

AU - Hillebrand, Arjan

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PY - 2003/9

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AB - Magnetoencephalography (MEG) is the measurement of the magnetic fields generated outside the head by the brain’s electrical activity. The technique offers the promise of high temporal and spatial resolution. There is however an ambiguity in the inversion process of estimating what goes on inside the head from what is measured outside. Other techniques, such as functional Magnetic Resonance Imaging (fMRI) have no such inversion problems yet suffer from poorer temporal resolution. In this study we examined metrics of mutual information and linear correlation between volumetric images from the two modalities. Measures of mutual information reveal a significant, non-linear, relationship between MEG and fMRI datasets across a number of frequency bands.

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KW - MEG

KW - magnetic fields

KW - brain

KW - electrical activity

KW - temporal resolution

KW - spatial resolution

KW - outside

KW - magnetic resonance imaging

KW - fMRI

KW - frequency bands

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UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1289401

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M3 - Conference publication

SN - 9780780379978

SP - 290

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BT - 2003 IEEE Workshop on Statistical Signal Processing

PB - IEEE

CY - New York, NY (US)

T2 - IEEE Workshop on Statistical Signal Processing, SSP 2003

Y2 - 28 September 2003 through 1 October 2003

ER -

Quantification of the relationship between, magnetoencephalographic (MEG) and blood oxygenation dependent (BOLD) images of brain function

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Bibliographical note

Keywords

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