Properties of the ballistocardiogram artefact as revealed by EEG recordings at 1.5, 3 and 7 T static magnetic field strength
Properties of the ballistocardiogram artefact as revealed by EEG recordings at 1.5, 3 and 7 T static magnetic field strength
Electroencephalogram (EEG) data recorded simultaneously with functional magnetic resonance imaging (fMRI) suffer from severe artefacts. The ballistocardiogram (BCG) artefact in particular is as yet poorly understood and different BCG removal strategies have been proposed. In the present study, EEG data were recorded from four participants in three different MRI scanners with field strengths of 1.5, 3 and 7 T, with the aim of investigating the impact of the static magnetic field strength on the BCG artefact and independent component analysis (ICA). The results confirm that the amplitude of the BCG artefact is a function of the static magnetic field strength. Moreover, the spatial variability of the BCG artefact substantially increased at higher magnetic field strengths. A comparison of ICA before and after channel-wise BCG correction revealed that typical independent components could be more easily identified when ICA was applied after channel-wise BCG correction. Further analysis of EEG and electrocardiogram recordings points towards the contribution of at least two different processes to the origin of the BCG, which are blood movement or axial head rotation on the one hand and electrode movement at lateral sites of the head on the other. This is summarized in a preliminary BCG model that may help to explain recent inconsistencies regarding the usefulness of ICA for BCG removal. It may also guide the future development of more advanced BCG removal procedures
magnetic resonance imaging, brain mapping, principal component analysis, blood, computer-assisted, electromagnetic fields, hearing, male, electroencephalography, ballistocardiography, reference values, cerebral cortex, humans, artifacts, instrumentation, physiology, signal processing, female, analysis, adult
189-199
Debener, Stefan
e6bf9143-09a8-45c0-8536-3564885375d4
Mullinger, Karen J.
9b7f200f-e582-4450-ac81-7d1186de352d
Niazy, Rami K.
e8c83b66-0773-4e8d-849c-349199775273
Bowtell, Richard W.
03216d16-0f3e-494b-830e-2e7e9c0512db
March 2008
Debener, Stefan
e6bf9143-09a8-45c0-8536-3564885375d4
Mullinger, Karen J.
9b7f200f-e582-4450-ac81-7d1186de352d
Niazy, Rami K.
e8c83b66-0773-4e8d-849c-349199775273
Bowtell, Richard W.
03216d16-0f3e-494b-830e-2e7e9c0512db
Debener, Stefan, Mullinger, Karen J., Niazy, Rami K. and Bowtell, Richard W.
(2008)
Properties of the ballistocardiogram artefact as revealed by EEG recordings at 1.5, 3 and 7 T static magnetic field strength.
International Journal of Psychophysiology, 67 (3), .
(doi:10.1016/j.ijpsycho.2007.05.015).
Abstract
Electroencephalogram (EEG) data recorded simultaneously with functional magnetic resonance imaging (fMRI) suffer from severe artefacts. The ballistocardiogram (BCG) artefact in particular is as yet poorly understood and different BCG removal strategies have been proposed. In the present study, EEG data were recorded from four participants in three different MRI scanners with field strengths of 1.5, 3 and 7 T, with the aim of investigating the impact of the static magnetic field strength on the BCG artefact and independent component analysis (ICA). The results confirm that the amplitude of the BCG artefact is a function of the static magnetic field strength. Moreover, the spatial variability of the BCG artefact substantially increased at higher magnetic field strengths. A comparison of ICA before and after channel-wise BCG correction revealed that typical independent components could be more easily identified when ICA was applied after channel-wise BCG correction. Further analysis of EEG and electrocardiogram recordings points towards the contribution of at least two different processes to the origin of the BCG, which are blood movement or axial head rotation on the one hand and electrode movement at lateral sites of the head on the other. This is summarized in a preliminary BCG model that may help to explain recent inconsistencies regarding the usefulness of ICA for BCG removal. It may also guide the future development of more advanced BCG removal procedures
This record has no associated files available for download.
More information
Published date: March 2008
Keywords:
magnetic resonance imaging, brain mapping, principal component analysis, blood, computer-assisted, electromagnetic fields, hearing, male, electroencephalography, ballistocardiography, reference values, cerebral cortex, humans, artifacts, instrumentation, physiology, signal processing, female, analysis, adult
Identifiers
Local EPrints ID: 70124
URI: http://eprints.soton.ac.uk/id/eprint/70124
ISSN: 0167-8760
PURE UUID: fe4c5ae7-6841-4c18-b8ca-34411ffc4f4a
Catalogue record
Date deposited: 26 Jan 2010
Last modified: 13 Mar 2024 19:56
Export record
Altmetrics
Contributors
Author:
Stefan Debener
Author:
Karen J. Mullinger
Author:
Rami K. Niazy
Author:
Richard W. Bowtell
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics