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

G. R. Barnes, K. D. Singh, I. Fawcett, A. Hadjipapas, A. Hillebrand

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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 publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Pages290-292
Number of pages3
ISBN (Electronic)0780379977
DOIs
Publication statusPublished - 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: 28 Sep 20031 Oct 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2003-January

Conference

ConferenceIEEE Workshop on Statistical Signal Processing, SSP 2003
CountryUnited States
CitySt. Louis
Period28/09/200301/10/2003

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