Title: Removal of the ballistocardiographic artifact from EEG-fMRI data: a canonical correlation approach
Authors: Assecondi, Sara ×
Hallez, Hans
Staelens, Steven
Bianchi, Anna M
Huiskamp, Geertjan M
Lemahieu, Ignace #
Issue Date: 2009
Publisher: IOP Pub.
Series Title: Physics in Medicine and Biology vol:54 issue:6 pages:1673-1689
Abstract: The simultaneous recording of electroencephalogram (EEG) and functional
magnetic resonance imaging (fMRI) can give new insights into how the brain
functions. However, the strong electromagnetic field of the MR scanner
generates artifacts that obscure the EEG and diminish its readability. Among
them, the ballistocardiographic artifact (BCGa) that appears on the EEG is
believed to be related to blood flow in scalp arteries leading to electrode
movements. Average artifact subtraction (AAS) techniques, used to remove
the BCGa, assume a deterministic nature of the artifact. This assumption may
be too strong, considering the blood flow related nature of the phenomenon. In
this work we propose a new method, based on canonical correlation analysis
(CCA) and blind source separation (BSS) techniques, to reduce the BCGa from
simultaneously recorded EEG–fMRI. We optimized the method to reduce the
user’s interaction to a minimum. When tested on six subjects, recorded in
1.5 T or 3 T, the average artifact extracted with BSS–CCA and AAS did not
show significant differences, proving the absence of systematic errors. On
the other hand, when compared on the basis of intra-subject variability, we
found significant differences and better performance of the proposed method
with respect to AAS.We demonstrated that our method deals with the intrinsic
subject variability specific to the artifact that may cause averaging techniques
to fail.
ISSN: 0031-9155
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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