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/Report/Conference proceedingConference publication

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 languageEnglish
Title of host publication2003 IEEE Workshop on Statistical Signal Processing
Place of PublicationNew York, NY (US)
PublisherIEEE
Pages290-292
Number of pages3
ISBN (Print)9780780379978
DOIs
Publication statusPublished - Sep 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: 28 Sep 20031 Oct 2003

Conference

ConferenceIEEE Workshop on Statistical Signal Processing, SSP 2003
CountryUnited States
CitySt. Louis
Period28/09/031/10/03

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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